Next Article in Journal
Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate
Next Article in Special Issue
Mutual Relations between Substituent Effect, Hydrogen Bonding, and Aromaticity in Adenine-Uracil and Adenine-Adenine Base Pairs
Previous Article in Journal
Advanced Extraction of Lipids with DHA from Isochrysis galbana with Enzymatic Pre-Treatment Combined with Pressurized Liquids and Ultrasound Assisted Extractions
Previous Article in Special Issue
Combined X-ray Crystallographic, IR/Raman Spectroscopic, and Periodic DFT Investigations of New Multicomponent Crystalline Forms of Anthelmintic Drugs: A Case Study of Carbendazim Maleate
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Small Molecules, Non-Covalent Interactions, and Confinement

by
Gerd Buntkowsky
1,*,† and
Michael Vogel
2,*,†
1
Institut für Physikalische Chemie, Technische Universität Darmstadt, 64287 Darmstadt, Germany
2
Institut für Festkörperphysik, Technische Universität Darmstadt, 64295 Darmstadt, Germany
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2020, 25(14), 3311; https://doi.org/10.3390/molecules25143311
Submission received: 3 June 2020 / Revised: 7 July 2020 / Accepted: 15 July 2020 / Published: 21 July 2020

Abstract

:
This review gives an overview of current trends in the investigation of small guest molecules, confined in neat and functionalized mesoporous silica materials by a combination of solid-state NMR and relaxometry with other physico-chemical techniques. The reported guest molecules are water, small alcohols, and carbonic acids, small aromatic and heteroaromatic molecules, ionic liquids, and surfactants. They are taken as characteristic role-models, which are representatives for the typical classes of organic molecules. It is shown that this combination delivers unique insights into the structure, arrangement, dynamics, guest-host interactions, and the binding sites in these confined systems, and is probably the most powerful analytical technique to probe these systems.

Graphical Abstract

1. Introduction

Porous silicates and alumosilicates include such diverse materials as the well-known microporous zeolites, a group of crystalline alumosilicates present in daily life, over mesoporous silica materials, such as the original ordered periodical mesoporous silica (PMS) [1,2] to controlled porous glasses and aerogels. They span a diameter range from fractions of a nanometer to ca. 50 nm and above. Owing to this large dispersion of well-defined diameters these systems are among the most versatile solid host-systems for studies of molecules in confinement.
In the present review an overview of confinement studies in PMS materials with a focus on neat and surface modified MCM-41 (Mobil Composition of Matter No. 41) [3] and SBA-15 (Santa Barbara Amorphous) [4,5] as hosts is given. Both MCM-41 and SBA-15 are characterized by well-ordered hexagonal pore-arrays, however, with different pore diameter distribution. Owing to their ordered structures, high porosity, high intrinsic surface area, low density, thermal stability, tunable pore sizes, and functional surface groups, PMS were successfully employed in a large variety of applications ranging from gas-storage and separation over heterogeneous catalysis to drug delivery (see, e.g., [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]), and many more.
PMS-type materials are ideal host systems for confinement studies since they combine narrow pore-diameter distributions and large specific surface with good chemical stability, easy handling, and chemical functionalization. They were employed in studies on the structural and dynamic properties of many different confined molecules, including water, alcohols, carbonic acids, protein solutions, and on thermophysical processes, such as freezing and melting points, glass transitions [23,24,25,26,27,28,29], or an electrochemical study of local pKa in confinement [30].
Of particular importance here are the periodic mesoporous silica materials MCM-41 [3] and SBA-15 [4] and their many derivates, which exhibit well-defined hexagonally arranged mesopore structures and three dimensional sponge like structures in porous glasses such as Vycor [31] or CPG-10–75 [32,33]. These materials opened up new research fields, as they allowed the introduction of larger molecular entities into well-defined pores. The prosperity of this field can be seen from the fact that, currently (March 2020), there are nearly 10,000 references in the Web of Science which have MCM-41 or SBA-15 in their title.
A large part of the interest in these materials stems from the fact that these materials are chemically very stable, because of the strength of the covalent Si-O-Si bonds, and that their surface silanol (Si-OH) groups are very potent reactive groups for chemical modification or functionalization of their surfaces. Thus, it is relatively easy to introduce the necessary functional groups by linker molecules, which serve, e.g., as possible binding sites for the chemical function of interest, such as a catalytic center. Such linker molecules can change the polarity or hydrophilicity of the surface, modify the hydrogen bonding properties of the surface, or add chemical functions, e.g., amide or carboxy functions [11] by binding functional groups such as amino, amide, carboxyl, phosphate, chloride, or peptide functions by post-synthetic grafting. Alternatively, it is also possible to add some of these functions directly during synthesis by co-condensation with appropriate additives [12,34].
A salient prerequisite for all these applications is a deep understanding of how the pores and pore surfaces interact with the confined molecules, which are, e.g., substrates of a catalytic reaction, a drug to be delivered or a fluid mixture which should be separated into its components.
This understanding is only obtainable by a combination of various complementary spectroscopic, thermodynamic, computational, and general physico-chemical characterization techniques, including multi-nuclear variable-temperature solid-state NMR (SSNMR), differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), small angle scattering (SAXS and SANS), thermogravimetric analysis (TGA) [35], and molecular dynamics (MD) simulations, as is shown by a number of recent papers (see, e.g., [36,37,38,39,40,41,42,43,44,45,46,47]). While X-ray diffraction techniques like XRD or SAXS reveal the ordered structures of these materials [48,49,50], nitrogen adsorption is employed to study the specific surface areas and pore diameters [51,52], DSC or TGA are used for the investigation of phase transitions inside the pores, NMR provides insights into the local ordering and dynamics on the molecular level, and computation interprets these results [35,53].
The purpose of this short review is to collect and report recent results on the investigation of guest molecules confined in mesoporous host systems with a particular emphasis on examples, where NMR techniques are prominently employed. As the description and theory of the NMR experiments employed for these investigations and their physical background are found in the literature, they are not described here in detail. Instead the reader is directed to a number of recent reviews on these experiments and references therein [54,55,56,57]. The same is true for the background of melting and glass transitions in confinement, where the reader is referred to papers [27,41,58,59] and references cited therein. The main advantage in the application of SSNMR techniques, which makes them complementary to diffraction techniques, is the fact that SSNMR works well on disordered systems or materials strongly affected by local impurities or multi-phase materials, on the one hand [39], and that it is able to analyze not only structural but also dynamical processes and in particular phase transitions on the other [35,53]. The drawback of NMR, in general, and SSNMR techniques, in particular, is their low sensitivity. For this reason microporous materials like zeolites [54,60,61,62,63] or mesoporous materials like MCM-41 and SBA-15 derivatives with high specific surfaces are commonly employed as host materials for NMR-confinement studies [64,65,66,67]. To battle this drawback, indirect detection methods under MAS, where the X-nucleus of interest is detected via the far more sensitive protons, a technique originally developed by Ishii and Tycko [68], were successfully applied to porous systems by the Pruski group to achieve remarkably sensitivity enhancements [69,70,71,72].
A recent alternative to this pure SSNMR technique for sensitivity enhancement is the application of hyperpolarization techniques like Dynamic Nuclear Polarization (DNP) enhanced SSNMR [73,74,75,76], which boost the sensitivity of SSNMR by several orders of magnitude [77,78,79,80,81,82,83,84], and in particular its variant SENS (Surface Enhanced NMR Spectroscopy) [85,86,87,88,89,90,91,92,93,94,95], or parahydrogen-induced polarization [96,97,98] (PHIP), whose potential for surface studies was demonstrated by Hunger et al. [99,100] and Stepanov and coworkers [101], or spin-exchange optical pumping (SEOP) [102,103].
In particular for functionalized systems, SSNMR techniques provided unprecedented details about the interaction of the linker molecules and the surface and its wetness [104,105,106]. Motokura et al. [107] employed 13C CP MAS NMR to investigate the catalytic transformation of epoxides under CO2 atmosphere on silica-supported aminopyridinium halides. Gath et al. [108] ascertained the properties of silylated amorphous silica materials. Wang et al. [109] studied a series of different linker molecules tethered on MCM-41 or SBA-15 by 2H MAS. Kandel et al. [110,111] investigated inhibitory processes in aldol reactions employing amine-functionalized silica supports. Jayanthi et al. [112,113,114] combined 2H and 29Si MAS NMR with MD simulations to study the dependence of the linker-surface interaction on the water concentration and on the temperature for N-(2-(triethoxysilyl)propyl)acetamide-d3 grafted onto MCM-41 and N-(2-aminoethyl-d4)propanamide grafted onto SBA-15. The Bluemel group pioneered in a series of seminal papers the application of CPMAS, in general and in particular, of HRMAS (high-resolution magic-angle spinning [115]), a solid-state NMR experiment, which employs the partial motional averaging of anisotropies for the investigation of physisorbed or chemisorbed molecules on surfaces, the characterization of novel porous catalysts [104,105,116,117,118,119,120,121,122,123,124,125]. Important contributions by the Coperet group were studies of various supported organometallic catalysts by SSNMR (see [86,87,90,92,126,127,128,129,130,131,132]) and by the Scott group [133,134,135,136,137,138], who developed a series of novel porous catalytic materials and investigated in detail the factors determining their adsorption and reactivity properties and by the Pruski [69,70,71,72,139,140,141,142,143,144,145] and Buntkowsky [146,147,148,149,150,151,152] groups, who employed conventional and DNP-enhanced SSNMR for the characterization of immobilized molecules. Another important aspect is that these materials are potential carriers for bioactive molecules, such as amino acids, peptides, or drugs [19,153,154,155]. Klimavicius et al. investigated silica confined ionic liquids by CPMAS NMR [156].
While the focus of this review is devoted to results obtained in the DFG special research unit FOR1583, there are also short reports about important contributions from outside this consortium. The rest of this review is organized as follows: Section 2 gives an introduction into the preparation and surface modification of the mesoporous host materials. Section 3 discusses the behavior of simple systems and Section 4 the behavior of complex systems, such as binary liquids or crowded solutions inside the confinement. The review is finished by a summary and an outlook into possible future developments of the field.

2. Porous Host Materials

2.1. Microporous Materials as Hosts

Owing to their immense importance both in daily life and in technology, zeolites are most probably the best characterized class of porous materials. They are well-ordered framework silicates with the composition (A+, E2+0.5)x (AlO2)x (SiO2)y ∙ (H2O)z (A+ = Na+, K+ and E2+ = Mg2+, Ca2+) and belong to the family of tectosilicates. A well-known example, found in nature, is faujasite (Na2Ca[Al4SiO10O28] ∙ 20 H2O) [157]. Zeolites find applications e.g., as molecular sieves [158,159], in heterogeneous catalysis [160,161], for gas storage [162], and as ion exchange resins [157]. An extensive recent overview about this fascinating class of materials is given in the recent special issue on zeolite chemistry
Owing to their narrow pore diameters and importance as catalysts for organic chemistry, most confinement studies employing zeolites use small molecules [163,164]. Typical recent examples are the deuterium NMR studies by Nishchenko et al. [165] and Lalowicz et al. [166,167] who analyzed the dynamics of tert.-butyl alcohol-d9 and methanol-d4 inside zeolites, respectively. Moreover, NMR field-gradient approaches yielded valuable insights into the diffusion of various small molecules in zeolites, including information about diffusion anisotropy, transport resistance at crystal surfaces, and pore connectivities [168,169,170,171,172,173,174].

2.2. Mesoporous Silica Materials as Hosts

While microporous zeolites are clearly still the technically most important class of porous host materials, their applications are limited to fairly small molecular sizes. For this reason the development of new classes of materials [3,6,7,8,9,10,16,17,18,19,20,21,106] with larger and adjustable pore sizes, such as mesoporous silica and mesoporous carbon materials, gained in importance. Depending on the material, they are characterized by adjustable pore sizes between ca. 10 and 1000 Å and, thus, close the gap between the microporous and the macroporous regime. Their combination of large specific volume and specific surface areas with high thermal stability and low specific weight creates a large application potential in physics, chemistry, pharmacy, polymer science, and related fields. Characteristic examples include applications in gas storage, in catalysis, in separation techniques, as additives to rubbers for tires media, and many more [11,12,13,14,15]. In confinement studies, SBA-15-type materials have the advantage of larger pore diameters, but MCM-41-type materials are better suited as models with narrow confinement. Additional merits of the latter are their generally better surface homogeneity and smoother inner surfaces.

2.3. Preparation and Chemical Functionalization of Mesoporous Silica; NMR Characterization

As mentioned above these mesoporous silica materials permit the comparatively simple synthesis of surface functionalized host systems with well-defined tunable narrow pore diameters [175,176,177,178], employing a synthesis protocol, which is based on Grünberg et al. [106] and Grün et al. [179]. Details of the synthesis and characterization are given in [176,180] and will not be repeated here. The changes of porosity, specific surfaces and the modification of the surface sites of the material can be monitored by the combination of nitrogen adsorption (BET and BJH) analysis and 29Si SSNMR spectroscopy. A typical example of such a synthesis is shown below (Figure 1), which displays the APTES ((3-aminopropyl)triethoxysilan) functionalization of MCM-41 materials. For this sample the BET measurements revealed a specific pore volume of 0.77 cm3/g, a specific surface area of 1000 m2/g and a specific pore diameter of 3.6 nm. From the 29Si SSNMR spectra the changes of the silanol groups during functionalization are determined by the change from Q-groups to T-groups.
At this point it is important to note that the freshly prepared samples in general contain a substantial amount of surface bound water molecules [36,39,182]. Since the latter can strongly influence the outcome of confinement studies, it is in generally necessary to check the hydration state of the sample by 1H MAS NMR measurements (the lower right panel of Figure 1 shows a typical example) and to employ special drying protocols for the preparation of “water-free” silica samples (for details see Brodrecht et al. [183]).
Since naturally-occurring porous hybrid materials like the skeleton of diatoms are based on modified silica materials consisting of silica and sillafins (polyamines) [184,185,186,187], the functionalization of mesoporous silica with peptides and peptoides [44,47,113,175,176,177,178,188,189,190,191,192,193,194] creates controllable well-defined model systems for the in-vitro study of, e.g., biomineralization.
There are two different strategies for obtaining such peptide-functionalized silica materials, namely an activation of the silica by virtue of a linker group, followed by a grafting of the previously synthesized peptide as shown, e.g., in [47,112] or the direct synthesis of the desired peptide inside the pores employing a modification of the standard SPPS protocol [176,177,194].
Figure 2 displays examples of both strategies and, in particular, how the success of the synthesis can be monitored by 13C CPMAS SSNMR spectroscopy. In the first example (Figure 2a), the collagen-model nonapeptide h-(Gly-Pro-Hyp)3-oh is grafted to silica [47]. The intensity reduction of the succinimidyl signal at ca. 15 ppm, which is visible by comparison of a.ii and a.iv, and the peaks for the nonapeptide in the carbonyl region and also in the aliphatic region indicate the successful immobilization of the peptide, which was proven by DNP enhanced natural abundance 15N spectra (not shown). The second example displays the steps of the SPPS inside mesoporous silica for the addition of one amino acid residue to an N-terminus (for details see Brodrecht et al. [175]).
Although mesoporous silica materials offer a larger range of pore diameters they are still limited with respect to the accessible confinement sizes. In the case that functionalized pores with larger diameters are desired, they can be created in a hierarchical three-step process, which is sketched in Figure 3a. In the first step a membrane, such as a polycarbonate foil, is irradiated in a heavy ion accelerator, creating an ion-track. The carbonate material inside this iron track is then removed by etching, creating a channel through the polycarbonate foil. By selecting the ion dose, the irradiation directions, and the etching time, the number of channels, their dimensionality, and the channel diameters are selected [195]. In the second step these etched ion channels are coated with silica by atomic layer deposition (ALD). In the third step they can be functionalized by grafting of linkers, such as APDMS (3-aminopropyldimethyl silane) or APTES, to the silica inside the channels. Owing to their lower specific surfaces the detailed chemical characterization and monitoring of the surface functionalization by SSNMR is only feasible by means of DNP enhancement, which boosts the SSNMR sensitivity. As a typical example of these experiments, Figure 3b displays the DNP enhanced 29Si SSNMR spectra of the material. The broad low-field lines around ca. 60–75 ppm proves the formation of the characteristic Tn-groups, which result from the binding of APTES to the silica inside the channels.

3. Simple Liquids in Confinement

The simplest case of a confined system is a single component liquid confined inside the pores of a host material, such as silica. In this case the behavior of the liquid is governed by the competition of the interactions between the liquid’s molecules and that of the host surface with the liquid’s molecules. In addition to the typical interactions between the liquid molecules, such as hydrogen bonding, hydroaffinity, polarity, and aromaticity, there are also steric effects, which influence the dynamics. In the remainder of this section, some characteristic examples of single component liquids, such as small polar, nonpolar, and aromatic molecules, confined in mesoporous silica are discussed. The competition of these interactions leads to pronounced changes of their phase behavior, in particular when confined in narrow pores, where a large percentage of the molecules is close to, or in contact with, the pore surface. The confinement in a pore causes in general a depression of the melting/freezing point of the confined molecules, respectively prevents melting at all if the pore diameter is too low, causing a glass-transition instead. As a consequence, many molecules, which are a solid in their bulk phase at a given temperature, become a liquid when confined inside pores.
The situation becomes even more complicated, when molecules are employed as solvents, e.g., of a chemical reagent such as a drug or in filtering processes. In this situation there will be a competition of solvent-surface and solute-surface interactions with solvent-solute and solvent-solvent interactions. In order to be able to understand these complicated systems, it is a prerequisite to understand the behavior and properties of confined simple liquids.
To obtain this understanding, various analytical methods such as DSC, TGA, near-infrared spectroscopy (n-IR), and variable-temperature XRD are combined with manifold NMR methods, including one- and two-dimensional spectroscopy, spin-lattice relaxometry, and correlation function analysis, as well as broadband dielectric spectroscopy (BDS).

3.1. Water inside Mesoporous Silica

Polar molecules such as water [36,40,197,198,199,200,201,202], alcohols like methanol [166,167], tert.-butyl alcohol [165] or octanol [203,204] and carboxylic acids, such as isobutyric acid [38,42], can form hydrogen bonds among themselves and also with the surface’s silanol groups (Si–OH).
Owing to its ubiquitous presence, its importance as a solvent and its importance for the life-sciences, water is the most interesting molecule for confinement studies. It is commonly used as a green solvent, employed both in technical processes and in medical applications. Moreover, due to its ability to build hydrogen-bonding networks with itself and also with surface-silanol groups and its rich phase-diagram, it is also a fascinating subject for basic scientific investigations.
Various aspects of water confined in mesoporous silica were investigated in a number of studies. An important outcome of these investigations was that the morphology of water inside the pores depends strongly on the pore diameter. For narrow pores a coexistence of two different water phases (a surface layer and nano-droplets or water-clusters) and for larger diameters a single water phase were detected by 1H MAS NMR [36,40] and 2H SSNMR [197,198]. It was feasible to assign different water species confined in mesoporous MCM-41 by virtue of combined 1H and 2H SSNMR experiments [199,200]. The exchange of the two spin species as a function of the hydration level was studied for MCM-41 filled with D2O [201] employing 2D selective soft-hard inversion recovery experiments [205,206] and the results were interpreted using a three site exchange model. In this model the highest exchange rate of 300 s−1 is found between single hydroxyl protons and water protons. Moreover, as they did not observe any coalescence for the lines corresponding to the surface-water chemical exchange rate, they could provide an upper boundary (<1000 s−1) for this rate.
When the confinement size is reduced, the melting temperature of water decreases, as described by the Gibbs–Thomson relation, until crystallization is fully suppressed [27,65,207]. Thus, severe geometrical restriction provides access to the properties of deeply cooled liquid water, which are of fundamental importance for an understanding of the anomalies of this liquid, but masked by rapid crystallization in the bulk [208]. In particular, it was proposed that the anomalies of water originate in a liquid-liquid critical point in the supercooled regime, which terminates a phase transition between high-density (HDL) and low-density (LDL) liquid forms [209]. Moreover, it was argued that the associated structural modifications have also a dynamical signature, explicitly, that there is a change in the temperature dependence of the structural α relaxation from a non-Arrhenius behavior characteristic for HDL to an Arrhenius behavior typical of LDL. While a number of studies reported such dynamical crossover of confined water, it remains a subject of controversial discussion whether the phenomenon is indicative of a HDL-LDL transition [210,211,212]. For example, alternative explanations based on confinement effects were given.
To tackle this problem, 2H NMR was used to investigate reorientation dynamics of unfreezable water (D2O) in MCM-41 and SBA-15 pores over wide temperature ranges towards the glass transition [45,176,181,183,213,214,215,216,217,218,219]. In particular, spin-lattice relaxation, line-shape analysis, and stimulated-echo experiments were combined to ensure broad dynamic ranges and the pore-size was systematically varied to study possible finite-size effects. Figure 4 shows temperature-dependent correlation times τ obtained from 2H NMR approaches to water reorientation in mesoporous silica. Clearly, there is a dynamic crossover near 220 K. Combining this NMR analyses with DSC and BDS studies [215], it turned out that, for a pore diameter of 2.8 nm, the dynamic crossover occurs near the melting temperature Tm so that liquid and crystalline water fractions with, respectively, faster and slower rotational dynamics coexist inside the pores below this temperature (see Figure 4a). It was concluded that partial crystallization causes the effect, explicitly, that the dynamics of water changes when ice forms and further restricts the accessible pore volume. To test this hypothesis, later work exploited that the melting temperature Tm can be altered when the pore diameter of the MCM-41 and SBA-15 material is varied [213]. It was found that the dynamic crossover occurs near 220 K, independent of the pore diameter (see Figure 4b). Hence, partial crystallization is not the reason of the change in the temperature dependence in the general case. One may be tempted to argue that the lacking pore-size dependence also excludes finite-size effects as possible origin. However, this argument does not hold because liquid water forms an interfacial layer, the thickness of which is largely independent of the pore diameter and, hence, the available space between the silica walls and the ice crystallites remains unaltered.
To study the role of water-host interactions, analogous 2H NMR studies were performed for D2O in MCM-41 pores functionalized with APTES (see Section 2.3). It was found that water reorientation in native and functionalized MCM-41 pores is similar (see Figure 5a) [181]. In particular, the temperature-dependent correlation times τ show a crossover from non-Arrhenius behavior above ca. 220 K to an Arrhenius behavior below this temperature in both types of confinements. Moreover, a common activation energy of Ea ≅ 0.5 eV was observed in the low-temperature regime for water in MCM-41 pores with and without APTES functionalization, but also for water in many other confinements, e.g., at protein surfaces [220,221,222,223]. Therefore, the term ‘universal water relaxation’ was coined for the low-temperature process. However, there are ongoing vigorous discussions whether this dynamic process can still be identified with the structural α relaxation of water or to a secondary β relaxation, which has severe consequences for the value of the glass transition temperature Tg of confined water and, possibly, also bulk water (see below) [210,212].
To obtain information about the nature of the low-temperature dynamics of water, it was utilized that 2H stimulated-echo experiments provide access to not only the rates but also the mechanisms of molecular reorientation dynamics [224,225,226]. In particular, it can be exploited that the angular resolution of the experiment is determined by the length of the evolution time te in the stimulated-echo sequence.
Figure 5. (a) Temperature-dependent correlation times of H2O and D2O reorientation in native MCM-41 (diameter 2.0 nm, red symbols) [214] and in APTES modified MCM-41 (diameter 2.2 nm, blue symbols) [181]. Results from 2H spin-lattice relaxation, line-shape analysis, and stimulated-echo experiments on D2O dynamics and from BDS on H2O dynamics in native MCM-41 [227] and D2O dynamics in modified MCM-41 [181] are shown. For comparison, data from combined NMR and BDS studies on water reorientation in an elastin matrix are included (green crossed circles) [222]. The dotted line is an interpolation of the high-temperature data with a Vogel-Fulcher-Tammann relation. The dashed line is an Arrhenius fit of the low-temperature results, yielding an activation energy of 0.5 eV. (b) Evolution-time dependent normalized correlation times τ(te)/τ(te→0) of D2O reorientation in an APTES modified MCM-41 (pore) [181], in an elastin matrix [220], and in a 2:1 molar D2O/DMSO mixture [228], and of glycerol (GLY) reorientation in MCM-41 (diameter 2.2 nm). The lines are expectations obtained from computer simulations [229]: (dashed) distorted tetrahedral jumps [220] and (solid) isotropic reorientation comprised of rotational jumps about angles of 2° (98%) and 30° (2%) [230].
Figure 5. (a) Temperature-dependent correlation times of H2O and D2O reorientation in native MCM-41 (diameter 2.0 nm, red symbols) [214] and in APTES modified MCM-41 (diameter 2.2 nm, blue symbols) [181]. Results from 2H spin-lattice relaxation, line-shape analysis, and stimulated-echo experiments on D2O dynamics and from BDS on H2O dynamics in native MCM-41 [227] and D2O dynamics in modified MCM-41 [181] are shown. For comparison, data from combined NMR and BDS studies on water reorientation in an elastin matrix are included (green crossed circles) [222]. The dotted line is an interpolation of the high-temperature data with a Vogel-Fulcher-Tammann relation. The dashed line is an Arrhenius fit of the low-temperature results, yielding an activation energy of 0.5 eV. (b) Evolution-time dependent normalized correlation times τ(te)/τ(te→0) of D2O reorientation in an APTES modified MCM-41 (pore) [181], in an elastin matrix [220], and in a 2:1 molar D2O/DMSO mixture [228], and of glycerol (GLY) reorientation in MCM-41 (diameter 2.2 nm). The lines are expectations obtained from computer simulations [229]: (dashed) distorted tetrahedral jumps [220] and (solid) isotropic reorientation comprised of rotational jumps about angles of 2° (98%) and 30° (2%) [230].
Molecules 25 03311 g005
It was reported that the observations for water in both silica and protein confinements are largely independent of the evolution time [45,181,214,219,220]. For example, the correlation times τ change in neither of these confinements when te is extended and, thus, the angular resolution is enhanced (see Figure 5b). This ineffectiveness of geometrical filtering indicated that water reorientation results from jumps about large angles of the order of the tetrahedral angle. Closer analysis implied that the universal low-temperature water reorientation can be described as distorted tetrahedral jumps or, similarly, as quasi-isotropic large-angle jumps [45,181,214,219,220]. However, it remains elusive whether or not the observed rotational motion is coupled to translational diffusion. The existence of such coupling is a prerequisite for the interpretation of the dynamic crossover in terms of altered structural α relaxation in response to a HDL-LDL transition. By contrast, an absence of such coupling implies interpretations based on a crossover from structural α relaxation to localized β relaxation. Moreover, this aspect has major consequences for the nature of the much-debated glass transition of water at Tg ≅ 136 K [231,232,233]. As the correlation times of the universal low-temperature water dynamics meet expectations for a glassy arrest at this temperature, a diffusive nature of this process entails a structural glass transition, whereas a localized nature implies an orientational glass transition, which is restricted to the rotational degrees of freedom.

3.2. Glycerol inside Mesoporous Silica

When investigating effects of geometrical restriction on liquid dynamics, it is desirable to compare behaviors of confined and bulk molecules over broad temperature ranges. In that respect, work on water has the drawback that its high tendency for crystallization hampers comparisons in the supercooled regime. On the other hand, use of good glass formers allows one to study molecular dynamics of both confined and bulk liquids in wide time windows. Major NMR contributions to this research field are discussed in a previous review article [67]. Therefore, we restrict ourselves to the case of the archetypal glass former glycerol in this contribution.
Figure 6 shows 2H NMR correlation times of bulk and confined glycerol. It is evident that the time scale of glycerol reorientation is unaffected even in narrow MCM-41 pores with diameters of 2–3 nm and at low temperatures near the glass transition. The temperature dependence is well described by the Vogel-Fulcher-Tammann relation typical of molecular glass formers. To arrive at these results, it is, however, necessary to avoid contamination with water by careful drying of the precursor materials [183,217]. Possibly, the hygroscopic nature of mesoporous silica and the high sensitivity of glycerol dynamics to water admixtures offer an explanation for different conclusions relating to confinement effects on the glass transition of glycerol in BDS studies [234,235]. Moreover, 2H NMR stimulated-echo studies showed that MCM-41 confinement does not alter the mechanism for glycerol reorientation (see Figure 5b). Specifically, the evolution-time dependence of the correlation times τ(te) of confined glycerol resembles that of bulk glycerol [230] but differs from that of confined water (see Section 3.1). The observed decrease of τ(te) indicates that the reorientation process of glycerol is composed of consecutive small-angle jumps, e.g., the data for the bulk liquid were successfully described by an isotropic reorientation model, which assumes that 98% of the rotational jumps occur about an angle of 2° and only 2% of them involve an angle of 30° [230]. On the other hand, 2H NMR correlation functions were found to be more stretched for confined glycerol than for bulk glycerol [217]. Hence, confinement results in higher dynamical heterogeneity, which, most probably, reflects mobility gradients across the pores with slower dynamics at the pore walls than in the pore centers, as commonly observed in simulation studies on confined liquids [236]. Consistent with these results for silica confinement, it was reported that protein matrices leave the rate of glycerol reorientation unaltered but increase its heterogeneity [237,238].

3.3. Benzene, Biphenyl, and Naphthalene inside Mesoporous Silica

While polar molecules like water exhibit strong hydrogen bonding interactions with the confinement, aromatic molecules such as benzene [23,37], biphenyl [43] or naphthalene [239] only weakly interact with the surface due to their hydrophobicity and strong π-π-stacking interactions among themselves. Employing a combination of 2H SSNMR and DSC the phase behavior of benzene confined in mesoporous silica was studied [23,37]. These experiments revealed a drastic lowering of the transition temperatures of the rotor and translational phases of the confined benzene. In particular for narrow pores a glass-like benzene phase with a broad distribution of activation energies was elucidated [23]. In this glass-like phase the rotational degrees of freedom were strongly decoupled from the translational ones. The comparison of these results with investigations employing a larger-diameter host material revealed that these glass-like phases are formed by roughly three outer molecular layers and that inside a “normal” crystalline benzene phase is formed, which behaves like bulk benzene [37].
This interesting behavior prompted the study of the next larger homologues of benzene, namely of biphenyl confined in inside narrow (nominal 2.5 nm and 2.9 nm diameter) silylated and non-silylated MCM-41 pores [43] and of naphthalene confined inside narrow (nominal 3.3 nm pore diameter) MCM-41 pores [239]. With respect to confinement studies, a major difference between these two molecules is that biphenyl has an internal rotational degree of freedom, which naphthalene is lacking. The confinement of biphenyl caused a depression of the melting point by ca. 110–120 K from the bulk value of 342.6 K down to 222 K to 229 K (depending on the pore diameter). Moreover, a careful line-shape analysis of the 2H NMR solid-echo spectra measured just below the melting points elucidated indications for the presence of a pre-melting process in the form of isotropic motions of a fraction of the biphenyl molecules (Figure 7). The best simulation of the spectra was obtained by a two-phase model, with a broad distribution of rotational correlation times, resulting from a broad distribution of activation energies for the rotational motion. For the confined naphthalene an even stronger reduction of the melting point (152 K), compared to the bulk material was found. For the detailed line shape analysis of the 2H SSNMR spectra, two different models were employed, namely on the one hand a two-phase model with a broad distribution of activation energies, which is similar for benzene and biphenyl, and on the other hand a crystal-like jump model employing an octahedral jump geometry. Both models revealed a narrow melting point distribution of the confined naphthalene, indicating a relatively well ordered structure of the confined naphthalene molecules [239]. These results were interpreted such that the confined naphthalene molecules most probably form a plastically crystalline phase, similar to naphthalene in ball-milled silica [240,241,242,243]. The existence of these plastic phases of confined naphthalene were independently confirmed by a combination of DSC, Raman spectroscopy, and PXRD [244].

3.4. Pyridine inside Mesoporous Silica

While the nonpolar aromatic molecules described in the previous section interact only weakly with the silica surface, polar aromatic molecules such as carboxylic acids like benzoic acid [245], or nitrogen containing heterocycles such as pyridine [246,247,248], bipyridinyl [249], dimethylaminopyridine [250], or diethyl-2,6-di-tert.-butylaminopyridine [250], interact strongly with surface silanol groups by means of hydrogen bonds. In the case of the pyridine derivates, the ring nitrogen acts as a hydrogen bond acceptor. Since the 15N chemical shift is a very sensitive monitor of the hydrogen bond strength, these hydrogen bonds can be conveniently monitored by 15N CPMAS NMR [246,250].
In a series of seminal papers [246,247,248], Shenderovich and coworkers employed a combination of 15N- and 29Si-CPMAS and MAS NMR spectroscopy, line-shape analysis and structural modelling to describe the silica-surface morphology of different types of mesoporous silica on the atomic scale. While the 29Si MAS spectra revealed the ratio of Q3:Q4 groups and the pore wall ordering of the silica, the 15N NMR revealed the Brønsted basicity and surface morphology and surface defects of the silica. These investigations were paralleled by stray-field diffusion NMR studies, which investigated the diffusion tensor of pyridine as a function of the pore filling [251]. Later, Gurinov et al. [248] studied aluminum oxide containing SBA-15-type materials to investigate in more detail the effects of Lewis and Brønsted acidity by a combination of 15N and 2H NMR techniques. Lesnichin et al. [249] investigated the behavior of 2,2′-bipyridyl in confinement. They found that the molecule can only form one of the two possible hydrogen bonds to the surface and that the surface coverage grows strongly from one molecule per nm2 at room temperature to 1.6 molecules per nm2 at 130 K. Very recently, Shenderovich and Denisov studied the hydrogen bonding of pyridine in detail [252].

4. Complex Liquids in Confinement

In the previous section, the behavior of confined simple liquids was briefly reviewed. In the present section we now discuss the behavior of complex liquids, i.e., mixtures’ respectively liquid solutions of two or more liquid components [253]. The investigation of these mixtures is of particular interest as they are models for many natural or technical systems, e.g., oil-water mixtures. While the phase behavior of such complex liquids is often well understood in bulk phases, there is still a very large gap in knowledge for confined systems, where the competition of liquid/liquid versus liquid/pore surface interactions creates much more complex scenarios. Understanding the effect of the confinement on the complex liquid, and analyzing the structure, dynamics and spatial distribution of the solvents on the molecular level may help in developing new applications, e.g., in chemical industry, pharmacology or oil industry or might help in developing new strategies to deal, e.g., with crude oil spills. We start with model systems, namely confined water-alcohol and water-isobutyric acid mixtures to discuss the basic behavior of these confined systems. Then we discuss recent results on confined ionic liquids and their application as solvents in catalysis in the form of supported ionic liquid phases (SILPs) respectively supported ionic liquid catalysts (SILCs). Finally, we shortly summarize recent results on confined surfactants.

4.1. Confined Water-Octanol Mixtures

Water-octanol mixtures are important model systems for the investigation of the phase behavior of two immiscible liquids in confinement. For their quantification the water octanol partition coefficient or p-value Kow is employed. (for details see the short review by Hermens et al. [254] and references therein). Hydrophobic liquids have a high Kow and hydrophilic liquids have a low Kow. The Kow values are employed, e.g., in pharmacology for estimating the distribution of drugs within the body. Drugs with high Kow tend to accumulate in hydrophobic areas of the body such as lipid bilayers of cells and drugs with low Kow tend to accumulate in hydrophilic areas with high water content, e.g., the blood serum. For a detailed discussion on the application of partition coefficients see Leo at al. [255].
Kumari et al. [203] studied the phase behavior of water/octanol mixtures confined in mesoporous SBA-15 by a combination of SSNMR and MD simulations (see Figure 8). By a combination of 1D SSNMR and FSLG-NMR [204] they could analyze the strength of the magnetic dipolar interactions between the different components and thus determine the distributions of the two liquids inside the confinement. The salient idea is to search for correlations between the chemically different types of 1H-nuclei (e.g., aliphatic protons of the alkyl chain or hydroxyl protons of the alcohol group or water) of the confined liquid and 29Si-sites on the surface of the material. These correlations are created by the magnetic dipolar interaction between these nuclei and are indicated as cross-peaks inside the 2D-NMR spectra. Thus, they are only visible when the corresponding nuclei are in the vicinity of each other. By varying the contact time different distances are probed. A detailed analysis of the 2D-spectra is beyond the scope of the current review and can be found in [203].

4.2. Water-Isobutyric Acid (IBA) Mixtures in Experiment and Simulation

Another example presents the study of binary mixtures of water and isobutyric acid (iBA, 2-methylpropanoic acid) by a combination of SSNMR spectroscopy and MD simulations. In bulk mixtures, this system has a well-known phase-diagram with a large miscibility gap as a function of temperature and mole fraction of the liquids. First NMR studies [38,39] of this system had indicated a micro-phase separation of the confined binary mixture with an anomalous temperature dependence of the self-diffusion coefficient and a bifurcation of the T2-relaxation upon a critical temperature of 42 °C, proposing a structural model in the form of concentric cylindrical liquid layers below the critical temperature inside the pores. The inner cylinder was tentatively assigned to the iBA rich and the outer cylinder hull to the water rich phase.
This assignment was probed by Harrach et al. [256] by a combination of high-resolution SSNMR on frozen solutions (100 K to suppress any fluid mobility in the NMR experiments and obtain a momentary picture of the liquid distribution inside the pores) and MD simulations. By varying the contact time of 1H-29Si FSLG HETCOR (see Figure 9) they mapped out different distance regimes by virtue of the strength of the magnetic dipolar interactions between protons and the silica nuclei on the surface to reveal the molecular distribution inside the pores. The latter was interpreted by MD simulations (see Figure 10), which calculated the density profile of water and iBA as a function of the distance from the pore center. An example of these calculations is shown in Figure 10. They corroborate in principle the cylindrical model but reveal that the iBA rich phase and not the water rich phase is close to the pore wall. Furthermore, the calculations indicated that the iBA molecules orient preferential like an inverted brush-like structure, i.e., radially with the carboxylic group pointing towards the pore wall and the aliphatic chains pointing radially into the direction of the pore-center.
A detailed analysis of the entropic and enthalpic parts of the free energy revealed that this unexpected phase-behavior is mainly caused by the hydrogen-bonding enthalpy and is meliorated at higher temperatures where entropic terms become stronger, leading to a more thorough miscibility. For further details see the original paper by Harrach et al. [256]

4.3. Confined Water-Glycol Mixtures

Evidence for confinement-induced micro-phase separation and the confinement-enhanced tendency for crystallization were reported in 2H spin-lattice relaxation studies on mixtures of D2O with propylene glycol (PG), propylene glycol monomethyl ether (PGME), or dipropylene glycol monomethyl ether [217,258].
For example, for a PG-D2O mixture with a water concentration of 45 wt %, 2H spin-lattice relaxation studies revealed that crystallization is fully suppressed in the bulk but occurs in pores at T < 220 K [217] (see Figure 11a). Specifically, bimodal 2H spin-lattice relaxation indicated that partial freezing results in coexisting liquid and crystalline fractions inside MCM-41 pores. Recording the buildup of the magnetization in a staggered way, it was even possible to follow the crystallization process on the basis of the observation that the slow step due to the crystalline fraction grows at the expense of the fast one associated with the liquid fraction in the course of time. Similarly, 2H spin-lattice relaxation results for PGME-D2O mixtures at 240 K indicated that freezing occurs in confinement but not in the bulk for a water concentration of 60 wt %, while such a difference was not observed at lower and higher water contents (see Figure 11b) [217]. Thus, at variance with the situation for pure liquids, confined aqueous glycol solutions with intermediate water concentrations show a higher proneness towards crystallization than their bulk counterparts. This effect was taken as evidence that, as a consequence of confinement-induced micro-phase segregation, the water concentration in some pore regions becomes sufficiently high to allow for ice formation.

4.4. Glass Transition of Confined Water-Alcohol Mixtures

2H NMR proved also useful to ascertain the glass transition of confined aqueous solutions [217,258]. In these studies, the strong slowdown of molecular dynamics related to the increasing viscosity can be monitored by a combination of, in particular, spin-lattice relaxation and stimulated-echo experiments. Moreover, depending on the deuteration scheme of the used compounds, it is possible either to observe the dynamical behavior of a particular component selectively or to probe that of both constituents at the same time.
Figure 12 compares 2H NMR correlation times of a water-glycerol mixture in the bulk with that in protein and silica confinements [217]. In all samples, 25 wt % of water were mixed with selectively labelled glycerol-d5. Hence, 2H NMR exclusively probes glycerol reorientation. The correlation times of the bulk mixture showed the characteristic non-Arrhenius temperature dependence of molecular glass-forming liquids over about 12 orders of magnitude. The agreement of the NMR data for glycerol dynamics with BDS results, which receive strong contributions from water reorientations, indicated coupled dynamics of the components. While glycerol reorientation was notably slowed down in an elastin matrix, the correlation times were unaltered when confining the liquid to MCM-41 pores [217]. This difference may suggest that glycerol interacts more strongly with elastin than with silica surfaces but it can also be caused by diverse confinement sizes in the studied samples. Specifically, the water-glycerol mixture forms only 1–2 solvation layers around the protein for the used concentration of 0.3 gsolvent/gelastin, whereas interfacial and bulk behaviors can coexist in the MCM-41 pores with a diameter of 2.8 nm. Thus, the observed difference can result because slowed interfacial dynamics was probed for the elastin confinement, while bulk-like behavior in the pore center dominated the findings for the silica confinement. Consistent with the latter argument, spatially resolved analyses in molecular simulation studies of water-alcohol mixtures confined to silica pores revealed strongly retarded motion near the pore walls and bulk-like behavior in the pore center [259].
In 2H NMR studies on mixtures of alcohol molecules with heavy water, both components contribute to the observed signals because chemical exchange leads to perpetual redistribution of the provided deuterons [260]. Results obtained for a glass-forming mixture of water and propylene glycol in bulk and confinement are presented in Figure 13 [217]. While 2H spin-lattice relaxation does not yield evidence for confinement effects in the weakly supercooled regime, 2H rotational correlation functions from stimulated-echo experiments in the deeply supercooled regime decay slower for the mixture in silica pores than in the bulk liquid. Closer analysis showed that the common structural α relaxation of water and alcohol molecules is observed in the former temperature range, while faster water reorientation decouples as a secondary β relaxation from the viscous slowdown when approaching the glass transition temperature Tg. Therefore, the authors concluded that the 2H stimulated-echo data do not yield evidence for a slowdown of the structural relaxation of the water-alcohol mixture in silica pores, but rather indicate changes of the secondary process [217].

4.5. Ionic Liquids and Surfactants in Confinement as Nonconventional Solvents

Ionic liquids (ILs) and surfactants such as poly(ethylene oxide) are versatile solvents in the field of green chemistry. Owing to favorable physical and chemical properties such as being environmentally benign and having a low vapor pressure, etc. (see, e.g., [262,263,264,265]) they are employed in a wide field of applications, ranging from basic preparative chemical synthesis to heterogeneous catalysis as a supported ionic liquid phase (SILP) catalyst [266]. In the latter application the IL is employed confined in an oxidic host material.
In the last decade, SSNMR has involved into one of the most versatile techniques to characterize the structure, dynamics, and phase behavior of ILs in general and SILP catalysts in particular, as demonstrated by the following characteristic examples.
Shylesh et al. [267] combined in situ FT-IR with 31P and 29Si MAS NMR to study the structure of sulfoxantphos (Rh-SX) in a silica supported ionic liquid film. Haumann et al. [266] studied the water-gas shift reaction employing SILP systems, consisting of the ruthenium catalyst ([Ru(CO)3Cl2]2) and [EMIM][NTf2] (1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide), respectively, [BMIM][NTf2] (1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide) confined in a silica gel as a function of the pore loading. Le Bideau et al. [268] investigated the dynamics of silica confined ILs by a combination of variable temperature NMR spectroscopy and relaxometry. In these experiments they observed a strong depression of the freezing point of the IL, as compared to the bulk liquid and that the confinement causes only a small slowdown of its dynamics. Rosa Castillo et al. [269] studied the phase behavior of [BMIM][PF6] (1-butyl-3-methylimidazolium hexafluorophosphate) on silica and clay by multinuclear (1H, 13C, 31P) SSNMR spectrometry. Waechtler et al. [270] used a combination of DSC and variable temperature 2H and 19F solid-state NMR to compare the phase behavior of [C2Py][BTA]-d10 (N-ethylpyridinium-bis(trifluoromethanesulfonyl)amide) in the bulk and confined in mesoporous silica gel. While two phase transitions were found for the bulk IL, one at 288–289 K indicating the onset of an intermolecular rotation and one at 295 K indicating the melting of the IL, the confined IL exhibited only a single phase transition in the lower temperature range (215–245 K).
Very recently, Hoffmann et al. [271] investigated the behavior of nonionic surfactants doped with radicals confined in SBA-15 whose surface was modified with (APTES) by a combination of DSC, SSNMR and dynamic nuclear polarization (DNP) [85,87] enhanced SSNMR spectroscopy.

5. Summary and Outlook

This paper reviews recent advances to the characterization of small molecules confined in microporous and mesoporous materials employing solid-state NMR techniques. It is shown that there is an exciting interplay between guest/guest and guest/host interactions, which can drastically change the physico-chemical properties of the confined systems and that solid-state NMR spectroscopy and relaxometry, combined with other techniques, such as nitrogen adsorption, differential scanning calorimetry, dielectric spectroscopy, hyperpolarization, and others, are ideal analytical tools enabling the differentiation between bound, adsorbed and free molecules inside the pores, as well as the observation of diffusion processes inside the pores of mesoporous and microporous materials. A number of examples, mainly from the groups of the two authors, were given to highlight the application of these techniques. These examples were supplemented by short references to the work of other groups in the field in order to give a broader picture of the field of imprisoned molecules.
Finally, we will end our review with giving some thoughts, where the field is moving in the next few years. Here the dramatic technical advances in sensitivity enhancement of NMR spectroscopy will enable the investigation of even more complex systems, e.g., hierarchical confinements, where the mesoporous silica-material itself is confined inside larger pores of, e.g., a polymer or paper to form a smart membrane.

Funding

This research was funded by the Deutsche Forschungsgemeinschaft in the framework of Forschergruppe FOR 1583, grant numbers Bu-911/18–1/2, Vo-905/8–1/2, Vo-905/9–1/2, and Vo-905/10–1/2.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Le Page, M.; Beau, R.; Duchene, J. Porous Silica Particles Containing a Crystallized Phase and Method. U.S. Patent Application No. 3,493,341, 3 February 1970. [Google Scholar]
  2. Chiola, V.; Ritsko, J.E.; Vanderpool, C.D. Process for Producing Low-Bulk Density Silica. U.S. Patent Application No. 3,556,725, 19 January 1971. [Google Scholar]
  3. Beck, J.; Vartuli, J.; Roth, W.; Leonowicz, M.; Kresge, C.; Schmitt, K.; Chu, C.; Olson, D.; Sheppard, E. A new family of mesoporous molecular sieves prepared with liquid crystal templates. J. Am. Chem. Soc. 1992, 114, 10834–10843. [Google Scholar] [CrossRef]
  4. Zhao, D.Y.; Huo, Q.S.; Feng, J.L.; Chmelka, B.F.; Stucky, G.D. Nonionic triblock and star diblock copolymer and oligomeric surfactant syntheses of highly ordered, hydrothermally stable, mesoporous silica structures. J. Am. Chem. Soc. 1998, 120, 6024–6036. [Google Scholar] [CrossRef]
  5. Zhao, D.Y.; Feng, J.L.; Huo, Q.S.; Melosh, N.; Fredrickson, G.H.; Chmelka, B.F.; Stucky, G.D. Triblock copolymer syntheses of mesoporous silica with periodic 50 to 300 angstrom pores. Science 1998, 279, 548–552. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Sayari, A.; Hamoudi, S. Periodic mesoporous silica-based organic-inorganic nanocomposite materials. Chem. Mater. 2001, 13, 3151–3168. [Google Scholar] [CrossRef]
  7. Linssen, T.; Cassiers, K.; Cool, P.; Vansant, E. Mesoporous templated silicates: An overview of their synthesis, catalytic activation and evaluation of the stability. Adv. Colloid Interface Sci. 2003, 103, 121–147. [Google Scholar] [CrossRef]
  8. Selvam, P.; Bhatia, S.K.; Sonwane, C.G. Recent advances in processing and characterization of periodic mesoporous MCM-41 silicate molecular sieves. Ind. Eng. Chem. Res. 2001, 40, 3237–3261. [Google Scholar] [CrossRef]
  9. Schreiber, A.; Ketelsen, I.; Findenegg, G.H. Melting and freezing of water in ordered mesoporous silica materials. Phys. Chem. Chem. Phys. 2001, 3, 1185–1195. [Google Scholar] [CrossRef]
  10. Schüth, F.; Schmidt, W. Microporous and mesoporous materials. Adv. Mater. 2002, 14, 629–638. [Google Scholar] [CrossRef]
  11. Vinu, A.; Hossain, K.Z.; Ariga, K. Recent advances in functionalization of mesoporous silica. J. Nanosci. Nanotechno. 2005, 5, 347–371. [Google Scholar] [CrossRef]
  12. Wang, X.; Lin, K.S.K.; Chan, J.C.C.; Cheng, S. Direct synthesis and catalytic applications of ordered large pore aminopropyl-functionalized SBA-15 mesoporous materials. J. Phys. Chem. B 2005, 109, 1763–1769. [Google Scholar] [CrossRef]
  13. Vinu, A.; Miyahara, M.; Ariga, K. Assemblies of biomaterials in mesoporous media. J. Nanosci. Nanotechno. 2006, 6, 1510–1532. [Google Scholar] [CrossRef] [PubMed]
  14. Morey, M.; Davidson, A.; Stucky, G. Silica-based, cubic mesostructures: Synthesis, characterization and relevance for catalysis. J. Porous Mater. 1998, 5, 195–204. [Google Scholar] [CrossRef]
  15. Chen, H.-T.; Huh, S.; Wiench, J.W.; Pruski, M.; Lin, V.S.-Y. Dialkylaminopyridine-functionalized mesoporous silica nanosphere as an efficient and highly stable heterogeneous nucleophilic catalyst. J. Am. Chem. Soc. 2005, 127, 13305–13311. [Google Scholar] [CrossRef] [PubMed]
  16. Ghiaci, M.; Dokhaie, Z.; Farrokhpour, H.; Buntkowsky, G.; Breitzke, H. SBA-15 supported imidazolium ionic liquid through different linkers as sustainable catalyst for synthesis of cyclic carbonates: A kinetic study and Theoretical DFT calculations. Ind. Eng. Chem. Res. 2020, 59, 12632–12644. [Google Scholar]
  17. Grünberg, A.; Breitzke, H.; Buntkowsky, G. Solid state NMR of immobilized catalysts and nanocatalysts. Spectrosc. Prop. Inorg. Organomet. Compd. 2012, 43, 289–323. [Google Scholar]
  18. Mellaerts, R.; Jammaer, J.A.G.; Van Speybroeck, M.; Chen, H.; Van Humbeeck, J.; Augustijns, P.; Van den Mooter, G.; Martens, J.A. Physical state of poorly water soluble therapeutic molecules loaded into SBA-15 ordered mesoporous silica carriers: A case study with itraconazole and ibuprofen. Langmuir 2008, 24, 8651–8659. [Google Scholar] [CrossRef]
  19. Ukmar, T.; Cendak, T.; Mazaj, M.; Kaucic, V.; Mali, G. Structural and dynamical properties of indomethacin molecules embedded within the mesopores of SBA-15: A solid-state NMR view. J. Phys. Chem. C 2012, 116, 2662–2671. [Google Scholar] [CrossRef]
  20. Vallet-Regi, M.; Ramila, A.; Del Real, R.; Pérez-Pariente, J. A new property of MCM-41: Drug delivery system. Chem. Mater. 2001, 13, 308–311. [Google Scholar] [CrossRef]
  21. Hall, S.R.; Walsh, D.; Green, D.; Oreffo, R.; Mann, S. A novel route to highly porous bioactive silica gels. J. Mater. Chem. 2003, 13, 186–190. [Google Scholar] [CrossRef]
  22. de Oliveira, M.; Seeburg, D.; Weiß, J.; Wohlrab, S.; Buntkowsky, G.; Bentrup, U.; Gutmann, T. Structural characterization of vanadium environments in MCM-41 molecular sieve catalysts by solid state 51V NMR. Catal. Sci. Tech. 2019, 9, 6180–6190. [Google Scholar] [CrossRef]
  23. Gedat, E.; Schreiber, A.; Albrecht, J.; Shenderovich, I.; Findenegg, G.; Limbach, H.-H.; Buntkowsky, G. 2H- solid state NMR study of benzene-d6 confined in mesoporous silica SBA-15. J. Phys. Chem. B 2002, 106, 1977. [Google Scholar] [CrossRef]
  24. Medick, P.; Blochowicz, T.; Vogel, M.; Roessler, E. Comparing the dynamical heterogeneities in binary glass formers and in a glass former embedded in a zeolite - a (2) hnmr study. J. Non Cryst. Solids 2002, 307, 565–572. [Google Scholar] [CrossRef]
  25. Dosseh, G.; Xia, Y.; Alba-Simionesco, C. Cyclohexane and benzene confined in MCM-41 and SBA-15: Confinement effects on freezing and melting. J. Phys. Chem. 2003, 107, 6445. [Google Scholar] [CrossRef]
  26. Lusceac, S.A.; Koplin, C.; Medick, P.; Vogel, M.; Brodie-Linder, N.; LeQuellec, C.; Alba-Simionesco, C.; Roessler, E.A. Type a versus type b glass formers: NMR relaxation in bulk and confining geometry. J. Phys. Chem. B 2004, 108, 16601–16605. [Google Scholar] [CrossRef]
  27. Alba-Simionesco, C.; Coasne, B.; Dosseh, G.; Dudziak, G.; Gubbins, K.; Radhakrishnan, R.; Sliwinska-Bartkowiak, M. Effects of confinement on freezing and melting. J. Phys. Condens. Matter 2006, 18, R15. [Google Scholar] [CrossRef]
  28. Kiwilsza, A.; Pajzderska, A.; Gonzalez, M.A.; Mielcarek, J.; Wąsicki, J. Qens and NMR study of water dynamics in SBA-15 with a low water content. J. Phys. Chem. C 2015, 119, 16578–16586. [Google Scholar] [CrossRef]
  29. Krzyżak, A.T.; Habina, I. Low field 1H NMR characterization of mesoporous silica MCM-41 and SBA-15 filled with different amount of water. Microporous Mesoporous Mater. 2016, 231, 230–239. [Google Scholar] [CrossRef]
  30. Brilmayer, R.; Kübelbeck, S.; Khalil, A.; Brodrecht, M.; Kunz, U.; Kleebe, H.-J.; Buntkowsky, G.; Baier, G.; Andrieu-Brunsen, A. Influence of nanoconfinement on the pka of polyelectrolyte functionalized silica mesopores. Adv. Mater. Interfaces 2020, 7, 1901914. [Google Scholar] [CrossRef]
  31. Nordberg, M.E. Properties of some vycor-brand glasses. J. Am. Ceram. Soc. 1944, 27, 299–305. [Google Scholar] [CrossRef]
  32. Gelb, L.D.; Gubbins, K.E.; Radhakrishnan, R.; Sliwinska-Bartkowiak, M. Phase separation in confined systems. Rep. Prog. Phys. 1999, 62, 1573–1659. [Google Scholar] [CrossRef] [Green Version]
  33. Ciesla, U.; Schüth, F. Ordered mesoporous materials. Microporous Mesoporous Mater. 1999, 27, 131. [Google Scholar] [CrossRef]
  34. Yokoi, T.; Yoshitake, H.; Tatsumi, T. Synthesis of amino-functionalized MCM-41 via direct co-condensation and post-synthesis grafting methods using mono-, di- and tri-amino-organoalkoxysilanes. J. Mater. Chem. 2004, 14, 951–957. [Google Scholar] [CrossRef]
  35. Hemminger, W.F.; Cammenga, H.K. Methoden der Thermischen Analyse; Springer: Berlin, Germany, 1989. [Google Scholar]
  36. Grünberg, B.; Emmler, T.; Gedat, E.; Shenderovich, I.; Findenegg, G.H.; Limbach, H.H.; Buntkowsky, G. Hydrogen bonding of water confined in mesoporous silica MCM-41 and SBA-15 studied by h-1 solid-state NMR. Chem. Eur. J. 2004, 10, 5689–5696. [Google Scholar] [CrossRef] [PubMed]
  37. Masierak, W.; Emmler, T.; Gedat, E.; Schreiber, A.; Findenegg, G.H.; Buntkowsky, G. Microcrystallization of benzene-d6 in mesoporous silica revealed by 2H-solid state NMR. J. Phys. Chem. B 2004, 108, 18890–18896. [Google Scholar] [CrossRef]
  38. Vyalikh, A.; Emmler, T.; Gedat, E.; Shenderovich, I.; Findenegg, G.H.; Limbach, H.H.; Buntkowsky, G. Evidence of microphase separation in controlled pore glasses. Solid State Nucl. Mag. Res. 2005, 28, 117–124. [Google Scholar] [CrossRef] [PubMed]
  39. Buntkowsky, G.; Breitzke, H.; Adamczyk, A.; Roelofs, F.; Emmler, T.; Gedat, E.; Grünberg, B.; Xu, Y.; Limbach, H.H.; Shenderovich, I.; et al. Structural and dynamical properties of guest molecules confined in mesoporous silica materials revealed by NMR. Phys. Chem. Chem. Phys. 2007, 9, 4843–4853. [Google Scholar] [PubMed]
  40. Vyalikh, A.; Emmler, T.; Gruenberg, B.; Xu, Y.; Shenderovich, I.; Findenegg, G.H.; Limbach, H.H.; Buntkowsky, G. Hydrogen bonding of water confined in controlled-pore glass 10–75 studied by h-1-solid state NMR. Z. Phys. Chem. 2007, 221, 155–168. [Google Scholar] [CrossRef]
  41. Schoen, M.; Klapp, S. Nanoconfined fluids: Soft matter between two and three dimensions. Rev. Comput. Chem. 2007, 24, 1–517. [Google Scholar]
  42. Vyalikh, A.; Emmler, T.; Shenderovich, I.; Zeng, Y.; Findenegg, G.H.; Buntkowsky, G. H-2-solid state NMR and dsc study of isobutyric acid in mesoporous silica materials. Phys. Chem. Chem. Phys. 2007, 9, 2249–2257. [Google Scholar] [CrossRef]
  43. Amadeu, N.d.S.; Gruenberg, B.; Frydel, J.; Werner, M.; Limbach, H.-H.; Breitzke, H.; Buntkowsky, G. Melting of low molecular weight compounds in confinement observed by h-2-solid state NMR: Biphenyl, a case study. Z. Phys. Chem. 2012, 226, 1169–1185. [Google Scholar] [CrossRef]
  44. Kahse, M.; Werner, M.; Zhao, S.; Hartmann, M.; Buntkowsky, G.; Winter, R. Stability, hydration, and thermodynamic properties of rnase a confined in surface-functionalized SBA-15 mesoporous molecular sieves. J. Phys. Chem. C 2014, 118, 21523–21531. [Google Scholar] [CrossRef]
  45. Sattig, M.; Reutter, S.; Fujara, F.; Werner, M.; Buntkowsky, G.; Vogel, M. NMR studies on the temperature-dependent dynamics of confined water. Phys. Chem. Chem. Phys. 2014, 16, 19229–19240. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Werner, M.; Rothermel, N.; Breitzke, H.; Gutmann, T.; Buntkowsky, G. Recent advances in solid state NMR of small molecules in confinement. Isr. J. Chem. 2014, 54, 60–73. [Google Scholar] [CrossRef]
  47. Werner, M.; Heil, A.; Rothermel, N.; Breitzke, H.; Groszewicz, P.B.; Thankamony, A.S.; Gutmann, T.; Buntkowsky, G. Synthesis and solid state NMR characterization of novel peptide/silica hybrid materials. Solid State Nucl. Mag. Res. 2015, 72, 73–78. [Google Scholar] [CrossRef] [PubMed]
  48. Treacy, M.M.; Higgins, J.B.; von Ballmoos, R. Collection of Simulated XRD Powder Patterns for Zeolites; Elsevier: London, UK, 1996. [Google Scholar]
  49. Marler, B.; Oberhagemann, U.; Vortmann, S.; Gies, H. Influence of the sorbate type on the XRD peak intensities of loaded MCM-41. Microporous Mater. 1996, 6, 375–383. [Google Scholar] [CrossRef]
  50. Yao, M.; Baird, R.; Kunz, F.; Hoost, T. An XRD and tem investigation of the structure of alumina-supported ceria–zirconia. J. Catal. 1997, 166, 67–74. [Google Scholar] [CrossRef]
  51. Brunauer, S.; Emmett, P.H.; Teller, E. Adsorption of gases in multimolecular layers. J. Am. Chem. Soc. 1938, 60, 309–319. [Google Scholar] [CrossRef]
  52. Barrett, E.P.; Joyner, L.G.; Halenda, P.P. The determination of pore volume and area distributions in porous substances. I. Computations from nitrogen isotherms. J. Am. Chem. Soc. 1951, 73, 373–380. [Google Scholar]
  53. Höhne, G.; Hemminger, W.F.; Flammersheim, H.-J. Differential Scanning Calorimetry; Springer: Berlin, Germany, 2013. [Google Scholar]
  54. Freude, D.; Kärger, J. NMR techniques. Handbook Porous Solids 2002, 1, 465–504. [Google Scholar]
  55. Koller, H.; Weiß, M. Solid state NMR of porous materials. In Solid State NMR; Springer: Berlin, Germany, 2011; pp. 189–227. [Google Scholar]
  56. Haouas, M.; Martineau, C.; Taulelle, F. Quadrupolar NMR of Nanoporous Materials; Emagres: Orense, Spain, 2007. [Google Scholar]
  57. Gutmann, T.; Groszewicz, P.B.; Buntkowsky, G. Solid-State NMR of Nanocrystals. Ann. Rep. NMR Spectrosc. 2019, 97, 1–82. [Google Scholar]
  58. Faivre, C.; Bellet, D.; Dolino, G. Phase transitions of fluids confined in porous silicon: A differential calorimetry investigation. Eur. Phys. J. B Condens. Matter Complex Syst. 1999, 7, 19–36. [Google Scholar] [CrossRef]
  59. Alcoutlabi, M.; McKenna, G.B. Effects of confinement on material behaviour at the nanometre size scale. J. Phys. Condens. Matter 2005, 17, R461. [Google Scholar] [CrossRef]
  60. Kaerger, J.; Pfeifer; Heink, W. Principles and application of self-diffusion measurements by nuclear magnetic resonance. Adv. Magn. Opt. Res. 1988, 12, 1–89. [Google Scholar]
  61. Kaerger, J.; Freude, D. In situ studies of catalytic reactions in zeolites by means of PFG and MAS NMR techniques. Prog. Zeolite Microporous Mater. Pts a-C 1997, 105, 551–558. [Google Scholar]
  62. Kaerger, J.; Freude, D. Mass transfer in micro- and mesoporous materials. Chem. Eng. Technol. 2002, 25, 769–778. [Google Scholar]
  63. Kärger, J.; Freude, D.; Haase, J. Diffusion in nanoporous materials: Novel insights by combining MAS and PFG NMR. Processes 2018, 6, 147. [Google Scholar] [CrossRef] [Green Version]
  64. Kaerger, J.; Valiullin, R. Mass transfer in mesoporous materials: The benefit of microscopic diffusion measurement. Chem. Soc. Rev. 2013, 42, 4172–4197. [Google Scholar] [CrossRef]
  65. Findenegg, G.H.; Jaehnert, S.; Akcakayiran, D.; Schreiber, A. Freezing and melting of water confined in silica nanopores. ChemPhysChem 2008, 9, 2651–2659. [Google Scholar] [CrossRef]
  66. Geppi, M.; Borsacchi, S.; Mollica, G.; Veracini, C.A. Applications of solid-state NMR to the study of organic/inorganic multicomponent materials. Appl. Spectr. Rev. 2009, 44, 1–89. [Google Scholar] [CrossRef]
  67. Vogel, M. NMR studies on simple liquids in confinement. Eur. Phys. J. 2010, 189, 47–64. [Google Scholar] [CrossRef]
  68. Ishii, Y.; Tycko, R. Sensitivity enhancement in solid state 15N NMR by indirect detection with high-speed magic angle spinning. J. Magn. Reson. 2000, 142, 199–204. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Mao, K.; Wiench, J.W.; Lin, V.S.Y.; Pruski, M. Indirectly detected through-bond chemical shift correlation NMR spectroscopy in solids under fast MAS: Studies of organic-inorganic hybrid materials. J. Magn. Reson. 2009, 196, 92–95. [Google Scholar] [CrossRef] [PubMed]
  70. Mao, K.; Pruski, M. Directly and indirectly detected through-bond heteronuclear correlation solid-state NMR spectroscopy under fast MAS. J. Magn. Reson. 2009, 201, 165–174. [Google Scholar] [CrossRef] [PubMed]
  71. Kobayashi, T.; Mao, K.; Wang, S.G.; Lin, V.S.Y.; Pruski, M. Molecular ordering of mixed surfactants in mesoporous silicas: A solid-state NMR study. Solid State Nucl. Mag. Res. 2011, 39, 65–71. [Google Scholar] [CrossRef] [PubMed]
  72. Hsin, T.M.; Chen, S.; Guo, E.; Tsai, C.H.; Pruski, M.; Lin, V.S.Y. Calcium containing silicate mixed oxide-based heterogeneous catalysts for biodiesel production. Top. Catal. 2010, 53, 746–754. [Google Scholar] [CrossRef]
  73. Maly, T.; Debelouchina, G.T.; Bajaj, V.S.; Hu, K.; Joo, C.; Mak-Jurkauskas, M.L.; Sirigiri, J.R.; Wel, P.C.A.v.d.; Herzfeld, J.; Temkin, R.J.; et al. Dynamic nuclear polarization at high magnetic fields. J. Chem. Phys. 2008, 128, 052211. [Google Scholar] [CrossRef] [Green Version]
  74. Hovav, Y.; Feintuch, A.; Vega, S. Theoretical aspects of dynamic nuclear polarization in the solid state - spin temperature and thermal mixing. Phys. Chem. Chem. Phys. 2013, 15, 188–203. [Google Scholar] [CrossRef]
  75. Mentink-Vigier, F.; Akbey, U.; Hovav, Y.; Vega, S.; Oschkinat, H.; Feintuch, A. Fast passage dynamic nuclear polarization on rotating solids. J. Magn. Reson. 2012, 224, 13–21. [Google Scholar] [CrossRef]
  76. Hovav, Y.; Feintuch, A.; Vega, S. Theoretical aspects of dynamic nuclear polarization in the solid state - the cross effect. J. Magn. Reson. 2012, 214, 29–41. [Google Scholar] [CrossRef]
  77. Overhauser, A.W. Polarization of nuclei in metals. Phys. Rev. 1953, 92, 411–415. [Google Scholar] [CrossRef]
  78. Carver, T.P.; Slichter, C.P. Polarization of nuclear spins in metals. Phys.Rev. 1953, 92, 212–213. [Google Scholar] [CrossRef]
  79. Carver, T.P.; Slichter, C.P. Experimental verification of the overhauser nuclear polarization effect. Phys.Rev. 1956, 102, 975–980. [Google Scholar] [CrossRef]
  80. Wind, R.A.; Duijvestijn, M.J.; Vanderlugt, C.; Manenschijn, A.; Vriend, J. Applications of dynamic nuclear-polarization in c-13 NMR in solids. Prog. Nucl. Magn. Reson. Spectrosc. 1985, 17, 33–67. [Google Scholar] [CrossRef]
  81. Becerra, L.R.; Gerfen, G.J.; Temkin, R.J.; Singel, D.J.; Griffin, R.G. Dynamic nuclear polarization with a cyclotron resonance maser at 5 T. Phys. Rev. Lett. 1993, 71, 3561. [Google Scholar] [CrossRef] [PubMed]
  82. Thankamony, A.S.; Knoche, S.; Drochner, A.; Pandurang, J.A.; Sigurdsson, S.T.; Vogel, H.; Etzold, B.J.M.; Gutmann, T.; Buntkowsky, G. Characterization of V-Mo-W Mixed Oxide Catalyst Surface Species by 51V Solid-State Dynamic Nuclear Polarization NMR. J. Phys. Chem. C 2017, 121, 20857–20864. [Google Scholar] [CrossRef]
  83. Kiesewetter, M.K.; Michaelis, V.K.; Walish, J.J.; Griffin, R.G.; Swager, T.M. High field dynamic nuclear polarization NMR with surfactant sheltered biradicals. J. Phys. Chem. B 2014, 118, 1825–1830. [Google Scholar] [CrossRef]
  84. Thankamony, A.S.L.; Wittmann, J.J.; Kaushik, M.; Corzilius, B. Dynamic nuclear polarization for sensitivity enhancement in modern solid-state NMR. Prog. Nucl. Magn. Reson. Spectrosc. 2017, 102, 120–195. [Google Scholar] [CrossRef]
  85. Lesage, A.; Lelli, M.; Gajan, D.; Caporini, M.A.; Vitzthum, V.; Mieville, P.; Alauzun, J.; Roussey, A.; Thieuleux, C.; Mehdi, A.; et al. Surface enhanced NMR spectroscopy by dynamic nuclear polarization. J. Am. Chem. Soc. 2010, 132, 15459–15461. [Google Scholar] [CrossRef] [Green Version]
  86. Gajan, D.; Levine, D.; Zocher, E.; Coperet, C.; Lesage, A.; Emsley, L. Probing surface site heterogeneity through 1d and inadequate p-31 solid state NMR spectroscopy of silica supported pme3-au(i) adducts. Chem. Sci. 2011, 2, 928–931. [Google Scholar] [CrossRef]
  87. Lelli, M.; Gajan, D.; Lesage, A.; Caporini, M.A.; Vitzthum, V.; Mieville, P.; Heroguel, F.; Rascon, F.; Roussey, A.; Thieuleux, C.; et al. Fast characterization of functionalized silica materials by silicon-29 surface-enhanced NMR spectroscopy using dynamic nuclear polarization. J. Am. Chem. Soc. 2011, 86–121. [Google Scholar] [CrossRef] [Green Version]
  88. Conley, M.P.; Drost, R.M.; Baffert, M.; Gajan, D.; Elsevier, C.; Franks, W.T.; Oschkinat, H.; Veyre, L.; Zagdoun, A.; Rossini, A.; et al. A well-defined pd hybrid material for the z-selective semihydrogenation of alkynes characterized at the molecular level by DNP sens. Chem. Eur. J. 2013, 19, 12234–12238. [Google Scholar] [CrossRef] [PubMed]
  89. Conley, M.P.; Rossini, A.J.; Comas-Vives, A.; Valla, M.; Casano, G.; Ouari, O.; Tordo, P.; Lesage, A.; Emsley, L.; Coperet, C. Silica-surface reorganization during organotin grafting evidenced by sn-119 DNP sens: A tandem reaction of gem-silanols and strained siloxane bridges. Phys. Chem. Chem. Phys. 2014, 16, 17822–17827. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Valla, M.; Rossini, A.J.; Caillot, M.; Chizallet, C.; Raybaud, P.; Digne, M.; Chaumonnot, A.; Lesage, A.; Emsley, L.; van Bokhoven, J.A.; et al. Atomic description of the interface between silica and alumina in aluminosilicates through dynamic nuclear polarization surface-enhanced NMR spectroscopy and first-principles calculations. J. Am. Chem. Soc. 2015, 137, 10710–10719. [Google Scholar] [CrossRef]
  91. Ong, T.C.; Liao, W.C.; Mougel, V.; Gajan, D.; Lesage, A.; Emsley, L.; Coperet, C. Atomistic description of reaction intermediates for supported metathesis catalysts enabled by DNP sens. Angew. Chem. Int. Ed. 2016, 55, 4743–4747. [Google Scholar] [CrossRef] [PubMed]
  92. Delley, M.F.; Lapadula, G.; Nunez-Zarur, F.; Comas-Vives, A.; Kalendra, V.; Jeschke, G.; Baabe, D.; Walter, M.D.; Rossini, A.J.; Lesage, A.; et al. Local structures and heterogeneity of silica-supported m(iii) sites evidenced by epr, ir, NMR, and luminescence spectroscopies. J. Am. Chem. Soc. 2017, 139, 8855–8867. [Google Scholar] [CrossRef]
  93. Liao, W.C.; Ong, T.C.; Gajan, D.; Bernada, F.; Sauvee, C.; Yulikov, M.; Pucino, M.; Schowner, R.; Schwarzwalder, M.; Buchmeiser, M.R.; et al. Dendritic polarizing agents for DNP sens. Chem. Sci. 2017, 8, 416–422. [Google Scholar] [CrossRef] [Green Version]
  94. Pump, E.; Bendjeriou-Sedjerari, A.; Viger-Gravel, J.; Gajan, D.; Scotto, B.; Samantaray, M.K.; Abou-Hamad, E.; Gurinov, A.; Almaksoud, W.; Cao, Z.; et al. Predicting the DNP-sens efficiency in reactive heterogeneous catalysts from hydrophilicity. Chem. Sci. 2018, 9, 4866–4872. [Google Scholar] [CrossRef] [Green Version]
  95. Azais, T.; Von Euw, S.; Ajili, W.; Auzoux-Bordenave, S.; Bertani, P.; Gajan, D.; Emsley, L.; Nassif, N.; Lesage, A. Structural description of surfaces and interfaces in biominerals by DNP sens. Solid State Nucl. Mag. Res. 2019, 102, 2–11. [Google Scholar] [CrossRef] [Green Version]
  96. Eisenschmidt, T.C.; Kirss, R.U.; Deutsch, P.P.; Hommeltoft, S.I.; Eisenberg, R.; Bargon, J. Para hydrogen induced polarization in hydrogenation reactions. J. Am. Chem. Soc. 1987, 109, 8089–8091. [Google Scholar] [CrossRef]
  97. Bowers, C.R.; Weitekamp, D.P. Transformation of symmetrization order to nuclear-spin magnetization by chemical reaction and nuclear magnetic resonance. Phys. Rev. Lett. 1986, 57, 2645–2648. [Google Scholar] [CrossRef] [Green Version]
  98. Bowers, C.R.; Jones, D.H.; Kurur, N.D.; Labinger, J.A.; Pravica, M.G.; Weitekamp, D.P. Pasadena and altadena. Adv. Magn. Res. 1990, 15, 269. [Google Scholar]
  99. Henning, H.; Dyballa, M.; Scheibe, M.; Klemm, E.; Hunger, M. In situ cf MAS NMR study of the pairwise incorporation of parahydrogen into olefins on rhodium-containing zeolites y. Chem. Phys. Lett. 2013, 555, 258–262. [Google Scholar] [CrossRef]
  100. Hunger, M. In situ NMR spectroscopy in heterogeneous catalysis. Catal. Today 2004, 97, 3–12. [Google Scholar] [CrossRef]
  101. Arzumanov, S.S.; Stepanov, A.G. Parahydrogen-induced polarization detected with continuous flow MAS NMR. J. Phys. Chem. C 2013, 117, 2888–2892. [Google Scholar] [CrossRef]
  102. Heinze, M.T.; Zill, J.C.; Matysik, J.; Einicke, W.D.; Gläser, R.; Stark, A. Solid–ionic liquid interfaces: Pore filling revisited. Phys. Chem. Chem. Phys. 2014, 16, 24359–24372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Fraissard, J.; Jameson, C.; Saam, B.; Brunner, E.; Hersman, W.; Goodson, B.; Meersmann, T.; Fujiwara, H.; Wang, L.-Q.; Sozzani, P. Hyperpolarized Xenon-129 Magnetic Resonance: Concepts, Production, Techniques and Applications; Royal Society of Chemistry: London, UK, 2015. [Google Scholar]
  104. Yang, Y.; Beele, B.; Bluemel, J. Easily immobilized di- and tetraphosphine linkers: Rigid scaffolds that prevent interactions of metal complexes with oxide supports. J. Am. Chem. Soc. 2008, 130, 3771–3773. [Google Scholar] [CrossRef]
  105. Bluemel, J. Linkers and catalysts immobilized on oxide supports: New insights by solid-state NMR spectroscopy. Coord. Chem. Rev. 2008, 252, 2410–2423. [Google Scholar] [CrossRef]
  106. Gutmann, T.; Grünberg, A.; Rothermel, N.; Werner, M.; Srour, M.; Abdulhussain, S.; Tan, S.; Xu, Y.; Breitzke, H.; Buntkowsky, G. Solid-state NMR concepts for the investigation of supported transition metal catalysts and nanoparticles. Solid State Nucl. Mag. Res. 2013, 55, 1–11. [Google Scholar] [CrossRef]
  107. Motokura, K.; Itagaki, S.; Iwasawa, Y.; Miyaji, A.; Baba, T. Silica-supported aminopyridinium halides for catalytic transformations of epoxides to cyclic carbonates under atmospheric pressure of carbon dioxide. Green Chem. 2009, 11, 1876–1880. [Google Scholar] [CrossRef]
  108. Gath, J.; Hoaston, G.L.; Vold, R.L.; Berthoud, R.; Coperet, C.; Grellier, M.; Sabo-Etienne, S.; Lesage, A.; Emsley, L. Motional heterogeneity in single-site silica-supported species revealed by deuteron NMR. Phys. Chem. Chem. Phys. 2009, 11, 6962–6971. [Google Scholar] [CrossRef]
  109. Wang, Q.; Jordan, E.; Shantz, D.F. H-2 NMR studies of simple organic groups covalently attached to ordered mesoporous silica. J. Phys. Chem. C 2009, 113, 18142–18151. [Google Scholar] [CrossRef]
  110. Kandel, K.; Althaus, S.M.; Peeraphatdit, C.; Kobayashi, T.; Trewyn, B.G.; Pruski, M.; Slowing, I.I. Substrate inhibition in the heterogeneous catalyzed aldol condensation: A mechanistic study of supported organocatalysts. J. Catal. 2012, 291, 63–68. [Google Scholar] [CrossRef]
  111. Kandel, K.; Althaus, S.M.; Peeraphatdit, C.; Kobayashi, T.; Trewyn, B.G.; Pruski, M.; Slowing, I.I. Solvent-induced reversal of activities between two closely related heterogeneous catalysts in the aldol reaction. ACS Catal. 2013, 3, 265–271. [Google Scholar] [CrossRef] [Green Version]
  112. Jayanthi, S.; Frydman, V.; Vega, S. Dynamic deuterium magic angle spinning NMR of a molecule grafted at the inner surface of a mesoporous material. J. Phys. Chem. B 2012, 116, 10398–10405. [Google Scholar] [CrossRef]
  113. Sundaresan, J.; Werner, M.; Yeping, X.; Buntkowsky, G.; Vega, S. Restricted dynamics of a deuterated linker grafted on SBA-15 revealed by deuterium MAS NMR. J. Phys. Chem. C 2013, 117, 13114–13121. [Google Scholar]
  114. Jayanthi, S.; Kababya, S.; Schmidt, A.; Vega, S. Deuterium MAS NMR and local molecular dynamic model to study adsorption–desorption kinetics of a dipeptide at the inner surfaces of SBA-15. J. Phys. Chem. C 2016, 120, 2797–2806. [Google Scholar] [CrossRef]
  115. Keifer, P.A.; Baltusis, L.; Rice, D.M.; Tymiak, A.A.; Shoolery, J.N. A comparison of NMR spectra obtained for solid-phase-synthesis resins using conventional high-resolution, magic-angle-spinning, and high-resolution magic-angle-spinning probes. J. Magn. Reson. Ser. A 1996, 119, 65–75. [Google Scholar] [CrossRef]
  116. Bluemel, J. Reactions of ethoxysilanes with silica: A solid-state NMR study. J. Am. Chem. Soc. 1995, 117, 2112–2113. [Google Scholar] [CrossRef]
  117. Merckle, C.; Haubrich, S.; Bluemel, J. Immobilized rhodium hydrogenation catalysts. J. Organomet. Chem. 2001, 627, 44–54. [Google Scholar] [CrossRef]
  118. Merckle, C.; Bluemel, J. Improved rhodium hydrogenation catalysts immobilized on silica. Top. Catal. 2005, 34, 5–15. [Google Scholar] [CrossRef]
  119. Brenna, S.; Posset, T.; Furrer, J.; Blümel, J. 14n NMR and two-dimensional suspension 1H and 13C hrmas NMR spectroscopy of ionic liquids immobilized on silica. Chem. A Eur. J. 2006, 12, 2880–2888. [Google Scholar] [CrossRef] [PubMed]
  120. Beele, B.; Guenther, J.; Perera, M.; Stach, M.; Oeser, T.; Bluemel, J. New linker systems for superior immobilized catalysts. New J. Chem. 2010, 34, 2729–2731. [Google Scholar] [CrossRef]
  121. Posset, T.; Guenther, J.; Pope, J.; Oeser, T.; Bluemel, J. Immobilized sonogashira catalyst systems: New insights by multinuclear hrmas NMR studies. Chem. Commun. 2011, 47, 2059–2061. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Cluff, K.J.; Schnellbach, M.; Hilliard, C.R.; Bluemel, J. The adsorption of chromocene and ferrocene on silica: A solid-state NMR study. J. Organomet. Chem. 2013, 744, 119–124. [Google Scholar] [CrossRef]
  123. Hilliard, C.R.; Kharel, S.; Cluff, K.J.; Bhuvanesh, N.; Gladysz, J.A.; Bluemel, J. Structures and unexpected dynamic properties of phosphine oxides adsorbed on silica surfaces. Chem. A Eur. J. 2014, 20, 17292–17295. [Google Scholar] [CrossRef]
  124. Kharel, S.; Cluff, K.J.; Bhuvanesh, N.; Gladysz, J.A.; Bluemel, J. Structures and dynamics of secondary and tertiary alkylphosphine oxides adsorbed on silica. Chem. Asian J. 2019, 14, 2704–2711. [Google Scholar] [CrossRef]
  125. Hubbard, P.J.; Benzie, J.W.; Bakhmutov, V.I.; Blümel, J. Ferrocene adsorbed on silica and activated carbon surfaces: A solid-state NMR study of molecular dynamics and surface interactions. Organometallics 2020, 39, 1080–1091. [Google Scholar] [CrossRef]
  126. Saint-Arroman, R.P.; Chabanas, M.; Baudouin, A.; Coperet, C.; Basset, J.H.; Lesage, A.; Emsley, L. Characterization of surface organometallic complexes using high resolution 2d solid-state NMR spectroscopy. Application to the full characterization of a silica supported metal carbyne: =sio-mo(=-bu-t(ch2-bu-t)(2). J. Am. Chem. Soc. 2001, 123, 3820–3821. [Google Scholar] [CrossRef]
  127. Rataboul, F.; Chabanas, M.; de Mallmann, A.; Coperet, C.; Thivolle-Cazat, J.; Basset, J.M. Hydrogenolysis of cycloalkanes on a tantalum hydride complex supported on silica and insight into the deactivation pathway by the combined use of id solid-state NMR and exafs spectroscopies. Chem. Eur. J. 2003, 9, 1426–1434. [Google Scholar] [CrossRef]
  128. Blanc, F.; Basset, J.M.; Coperet, C.; Sinha, A.; Tonzetich, Z.J.; Schrock, R.R.; Solans-Monfort, X.; Clot, E.; Eisenstein, O.; Lesage, A.; et al. Dynamics of silica-supported catalysts determined by combining solid-state NMR spectroscopy and dft calculations. J. Am. Chem. Soc. 2008, 130, 5886–5900. [Google Scholar] [CrossRef]
  129. Kerber, R.N.; Kermagoret, A.; Callens, E.; Florian, P.; Massiot, D.; Lesage, A.; Coperet, C.; Delbecq, F.; Rozanska, X.; Sautet, P. Nature and structure of aluminum surface sites grafted on silica from a combination of high-field aluminum-27 solid-state NMR spectroscopy and first-principles calculations. J. Am. Chem. Soc. 2012, 134, 6767–6775. [Google Scholar] [CrossRef] [PubMed]
  130. Conley, M.; Coperet, C.; Andersen, R. Nature of secondary interactions in molecular and silica-supported organolutetium complexes from solid-state NMR spectroscopy. Abstr. Papers Am. Chem. Soc. 2016, 251, 1155. [Google Scholar]
  131. Conley, M.P.; Lapadula, G.; Sanders, K.; Gajan, D.; Lesage, A.; del Rosa, I.; Maron, L.; Lukens, W.W.; Coperet, C.; Andersen, R.A. The nature of secondary interactions at electrophilic metal sites of molecular and silica-supported organolutetium complexes from solid-state NMR spectroscopy. J. Am. Chem. Soc. 2016, 138, 3831–3843. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Estes, D.P.; Gordon, C.P.; Fedorov, A.; Liao, W.C.; Ehrhorn, H.; Bittner, C.; Zier, M.L.; Bockfeld, D.; Chan, K.W.; Eisenstein, O.; et al. Molecular and silica-supported molybdenum alkyne metathesis catalysts: Influence of electronics and dynamics on activity revealed by kinetics, solid-state NMR, and chemical shift analysis. J. Am. Chem. Soc. 2017, 139, 17597–17607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Crisci, A.J.; Tucker, M.H.; Dumesic, J.A.; Scott, S.L. Bifunctional solid catalysts for the selective conversion of fructose to 5-hydroxymethylfurfural. Top. Catal. 2010, 53, 1185–1192. [Google Scholar] [CrossRef] [Green Version]
  134. Crisci, A.J.; Tucker, M.H.; Lee, M.-Y.; Jang, S.G.; Dumesic, J.A.; Scott, S.L. Acid-functionalized SBA-15-type silica catalysts for carbohydrate dehydration. ACS Catal. 2011, 1, 719–728. [Google Scholar] [CrossRef]
  135. Alamillo, R.; Crisci, A.J.; Gallo, J.M.R.; Scott, S.L.; Dumesic, J.A. A tailored microenvironment for catalytic biomass conversion in inorganic–organic nanoreactors. Angew. Chem. 2013, 125, 10539–10541. [Google Scholar] [CrossRef]
  136. Sievers, C.; Noda, Y.; Qi, L.; Albuquerque, E.M.; Rioux, R.M.; Scott, S.L. Phenomena affecting catalytic reactions at solid–liquid interfaces. ACS Catal. 2016, 6, 8286–8307. [Google Scholar] [CrossRef]
  137. Goldsmith, B.R.; Peters, B.; Johnson, J.K.; Gates, B.C.; Scott, S.L. Beyond ordered materials: Understanding catalytic sites on amorphous solids. ACS Catal. 2017, 7, 7543–7557. [Google Scholar] [CrossRef]
  138. Moon, H.; Han, S.; Scott, S.L. Tuning molecular adsorption in SBA-15-type periodic mesoporous organosilicas by systematic variation of their surface polarity. Chem. Sci. 2020, 11, 3702–3712. [Google Scholar] [CrossRef]
  139. Trebosc, J.; Wiench, J.W.; Huh, S.; Lin, V.S.Y.; Pruski, M. Studies of organically functionalized mesoporous silicas using heteronuclear solid-state correlation NMR spectroscopy under fast magic angle spinning. J. Am. Chem. Soc. 2005, 127, 7587–7593. [Google Scholar] [CrossRef] [PubMed]
  140. Mao, K.; Kobayashi, T.; Wiench, J.W.; Chen, H.T.; Tsai, C.H.; Lin, V.S.Y.; Pruski, M. Conformations of silica-bound (pentafluorophenyl)propyl groups determined by solid-state NMR spectroscopy and theoretical calculations. J. Am. Chem. Soc. 2010, 132, 12452–12457. [Google Scholar] [CrossRef] [PubMed]
  141. Hara, K.; Akahane, S.; Wiench, J.W.; Burgin, B.R.; Ishito, N.; Lin, V.S.Y.; Fukuoka, A.; Pruski, M. Selective and efficient silylation of mesoporous silica: A quantitative assessment of synthetic strategies by solid-state NMR. J. Phys. Chem. C 2012, 116, 7083–7090. [Google Scholar] [CrossRef]
  142. Kobayashi, T.; Singappuli-Arachchige, D.; Wang, Z.R.; Slowing, I.I.; Pruski, M. Spatial distribution of organic functional groups supported on mesoporous silica nanoparticles: A study by conventional and DNP-enhanced si-29 solid-state NMR. Phys. Chem. Chem. Phys. 2017, 19, 1781–1789. [Google Scholar] [CrossRef] [PubMed]
  143. Perras, F.; Kobayashi, T.; Pruski, M. Studies of silica- and alumina-supported catalysts by dynamic nuclear polarization solidstate NMR. Abstr. Papers Am. Chem. Soc. 2017, 253, 1155. [Google Scholar]
  144. Kobayashi, T.; Singappuli-Arachchige, D.; Slowing, I.I.; Pruski, M. Spatial distribution of organic functional groups supported on mesoporous silica nanoparticles (2): A study by h-1 triple-quantum fast-MAS solid-state NMR. Phys. Chem. Chem. Phys. 2018, 20, 22203–22209. [Google Scholar] [CrossRef] [Green Version]
  145. Kobayashi, T.; Pruski, M. Spatial distribution of silica-bound catalytic organic functional groups can now be revealed by conventional and DNP-enhanced solid-state NMR methods. ACS Catal. 2019, 9, 7238–7249. [Google Scholar] [CrossRef] [Green Version]
  146. Adamczyk, A.; Xu, Y.; Walaszek, B.; Roelofs, F.; Pery, T.; Pelzer, K.; Philippot, K.; Chaudret, B.; Limbach, H.H.; Breitzke, H.; et al. Solid state and gas phase NMR studies of immobilized catalysts and catalytic active nanoparticles. Top. Catal. 2008, 48, 75–83. [Google Scholar] [CrossRef]
  147. Gutmann, T.; Ratajczyk, T.; Xu, Y.P.; Breitzke, H.; Grunberg, A.; Dillenberger, S.; Bommerich, U.; Trantzschel, T.; Bernarding, J.; Buntkowsky, G. Understanding the leaching properties of heterogenized catalysts: A combined solid-state and phip NMR study. Solid State Nucl. Mag. Res. 2010, 38, 90–96. [Google Scholar] [CrossRef]
  148. Grunberg, A.; Gutmann, T.; Rothermel, N.; Xu, Y.P.; Breitzke, H.; Buntkowsky, G. Immobilization and characterization of rucl2(pph3)(3) mesoporous silica SBA-3. Z. Phys. Chem. 2013, 227, 901–915. [Google Scholar] [CrossRef]
  149. Srour, M.; Hadjiali, S.; Sauer, G.; Brunnengräber, K.; Breitzke, H.; Xu, Y.; Weidler, H.; Limbach, H.-H.; Gutmann, T.; Buntkowsky, G. Synthesis and solid-state NMR characterization of a novel, robust, pyridyl-based immobilized Wilkinson’s type catalyst with high catalytic performance. ChemCatChem 2016, 8, 3409–3416. [Google Scholar] [CrossRef]
  150. Abdulhussain, S.; Breitzke, H.; Ratajczyk, T.; Grunberg, A.; Srour, M.; Arnaut, D.; Weidler, H.; Kunz, U.; Kleebe, H.J.; Bommerich, U.; et al. Synthesis, solid-state NMR characterization, and application for hydrogenation reactions of a novel wilkinson’s-type immobilized catalyst. Chem. Eur. J. 2014, 20, 1159–1166. [Google Scholar] [CrossRef] [PubMed]
  151. Gutmann, T.; Alkhagani, S.; Rothermel, N.; Limbach, H.H.; Breitzke, H.; Buntkowsky, G. P-31-solid-state NMR characterization and catalytic hydrogenation tests of novel heterogenized iridium-catalysts. Z. Phys. Chem. 2017, 231, 653–669. [Google Scholar] [CrossRef]
  152. Liu, J.Q.; Groszewicz, P.B.; Wen, Q.B.; Thankamony, A.S.L.; Zhang, B.; Kunz, U.; Sauer, G.; Xu, Y.P.; Gutmann, T.; Buntkowsky, G. Revealing structure reactivity relationships in heterogenized dirhodium catalysts by solid-state NMR techniques. J. Phys. Chem. C 2017, 121, 17409–17416. [Google Scholar] [CrossRef]
  153. Folliet, N.; Gervais, C.; Costa, D.; Laurent, G.; Babonneau, F.; Stievano, L.; Lambert, J.-F.; Tielens, F. A molecular picture of the adsorption of glycine in mesoporous silica through NMR experiments combined with dft-d calculations. J. Phys. Chem. C 2013, 117, 4104–4114. [Google Scholar] [CrossRef]
  154. Azaïs, T.; Laurent, G.; Panesar, K.; Nossov, A.; Guenneau, F.; Sanfeliu Cano, C.; Tourné-Péteilh, C.; Devoisselle, J.-M.; Babonneau, F. Implication of water molecules at the silica–ibuprofen interface in silica-based drug delivery systems obtained through incipient wetness impregnation. J. Phys. Chem. C 2017, 121, 26833–26839. [Google Scholar] [CrossRef]
  155. Tielens, F.; Folliet, N.; Bondaz, L.; Etemovic, S.; Babonneau, F.; Gervais, C.; Azaïs, T. Molecular picture of the adsorption of ibuprofen and benzoic acid on hydrated amorphous silica through dft-d calculations combined with solid-state NMR experiments. J. Phys. Chem. C 2017, 121, 17339–17347. [Google Scholar] [CrossRef] [Green Version]
  156. Klimavicius, V.; Dagys, L.; Chizhik, V.; Balevicius, V. Cp MAS kinetics study of ionic liquids confined in mesoporous silica: Convergence of non-classical and classical spin coupling models. Appl. Magn. Res. 2017, 48, 673–685. [Google Scholar] [CrossRef]
  157. Riedel, E.; Janiak, C. Anorganische Chemie, 7th ed.; Walter De Gruyter: Berlin, Germany, 2007. [Google Scholar]
  158. Zhang, C.; Lively, R.P.; Zhang, K.; Johnson, J.R.; Karvan, O.; Koros, W.J. Unexpected molecular sieving properties of zeolitic imidazolate framework-8. J. Phys. Chem. Let. 2012, 3, 2130–2134. [Google Scholar] [CrossRef]
  159. Cejka, J.; Van Bekkum, H.; Corma, A.; Schüth, F. Introduction to Zeolite Science and Practice. In Studies in Surface Science and Catalysis 168; Elsevier: New York, NY, USA, 2007. [Google Scholar]
  160. Shantz, D.F.; Fild, C.; Koller, H.; Lobo, R.F. Guest-host interactions in as-made al-zsm-12: Implications for the synthesis of zeolite catalysts. J. Phy. Chem. B 1999, 103, 10858–10865. [Google Scholar] [CrossRef]
  161. Shantz, D.F.; Lobo, R.F. Guest-host interactions in zeolites as studied by NMR spectroscopy: Implications in synthesis, catalysis and separations. Top. Catal. 1999, 9, 1–11. [Google Scholar] [CrossRef]
  162. Wang, B.; Côté, A.P.; Furukawa, H.; O’Keeffe, M.; Yaghi, O.M. Colossal cages in zeolitic imidazolate frameworks as selective carbon dioxide reservoirs. Nature 2008, 453, 207–211. [Google Scholar] [CrossRef] [PubMed]
  163. Kärger, J.; Pfeifer, H. N.M.R. Self-diffusion studies in zeolite science and technology. Zeolites 1987, 7, 90–107. [Google Scholar] [CrossRef]
  164. Kärger, J.; Vasenkov, S.; Auerbach, S.M. Diffusion in zeolites. In Handbook of Zeolite Science and Technology; Auerbach, S.M., Carrado, K.A., Eds.; Marcel Dekker: New York, NY, USA, 2003; pp. 458–560. [Google Scholar]
  165. Nishchenko, A.M.; Kolokolov, D.I.; Gabrienko, A.A.; Stepanov, A.G. Mobility of tert-butyl alcohol in mfi framework type studied by deuterium NMR. J. Phys. Chem. C 2012, 116, 8956–8963. [Google Scholar] [CrossRef]
  166. Lalowicz, Z.T.; Stoch, G.; Birczynski, A.; Punkkinen, M.; Ylinen, E.E.; Krzystyniak, M.; Gora-Marek, K.; Datka, J. Translational and rotational mobility of methanol-d(4) molecules in nax and nay zeolite cages: A deuteron NMR investigation. Solid State Nucl. Mag. Res. 2012, 45, 66–74. [Google Scholar] [CrossRef]
  167. Stoch, G.; Ylinen, E.E.; Birczynski, A.; Lalowicz, Z.T.; Gora-Marek, K.; Punkkinen, M. Deuteron spin-lattice relaxation in the presence of an activation energy distribution: Application to methanols in zeolite nax. Solid State Nucl. Mag. Res. 2013, 49, 33–41. [Google Scholar] [CrossRef]
  168. Arzumanov, S.S.; Kolokolov, D.I.; Freude, D.; Stepanov, A.G. Methane mobility in ag/h-zsm-5 zeolite in the presence of ethene: A view based on PFG 1H MAS NMR analysis of methane diffusivity. J. Phys.Chem. C 2015, 119, 18481–18486. [Google Scholar] [CrossRef]
  169. Kärger, J.; Caro, J.; Cool, P.; Coppens, M.O.; Jones, D.; Kapteijn, F.; Rodríguez-Reinoso, F.; Stöcker, M.; Theodorou, D.; Vansant, E.F.; et al. Benefit of microscopic diffusion measurement for the characterization of nanoporous materials. Chem. Eng. Technol. 2009, 32, 1494–1511. [Google Scholar] [CrossRef]
  170. Karger, J. Transport phenomena in nanoporous materials. ChemPhysChem 2015, 16, 24–51. [Google Scholar] [CrossRef]
  171. Naumov, S.; Valiullin, R.; Kärger, J.; Pitchumani, R.; Coppens, M.-O. Tracing pore connectivity and architecture in nanostructured silica SBA-15. Microporous Mesoporous Mater. 2008, 110, 37–40. [Google Scholar] [CrossRef]
  172. Gutsze, A.; Masierak, W.; Geil, B.; Kruk, D.; Pahlke, H.; Fujara, F. On the problem of field-gradient NMR measurements of intracrystalline diffusion in small crystallites--water in naa zeolites as an example. Solid State Nucl Magn Reson 2005, 28, 244–249. [Google Scholar] [CrossRef] [PubMed]
  173. Pahlke, H.; Lusceac, S.A.; Geil, B.; Fujara, F. NMR study of local and long range dynamics of adsorbed water in zeolite nay(br). Z. Phys. Chem. 2012, 226, 1093–1114. [Google Scholar] [CrossRef]
  174. Krylova, E.A.; Shelyapina, M.G.; Nowak, P.; Harańczyk, H.; Chislov, M.; Zvereva, I.A.; Privalov, A.F.; Becher, M.; Vogel, M.; Petranovskii, V. Mobility of water molecules in sodium- and copper-exchanged mordenites: Thermal analysis and 1 h NMR study. Microporous Mesoporous Mater. 2018, 265, 132–142. [Google Scholar] [CrossRef]
  175. Brodrecht, M.; Breitzke, H.; Gutmann, T.; Buntkowsky, G. Biofunctionalization of nano channels by direct in-pore solid-phase peptide synthesis. Chem. Eur. J. 2018, 24, 17814–17822. [Google Scholar] [CrossRef]
  176. Brodrecht, M.; Kumari, B.; Breitzke, H.; Gutmann, T.; Buntkowsky, G. Chemically modified silica materials as model systems for the characterization of water-surface interactions. Z. Phys. Chem. 2018, 232, 1127–1146. [Google Scholar] [CrossRef]
  177. Brodrecht, M.; Kunnari, B.; Thankamony, A.S.S.L.; Breitzke, H.; Gutmann, T.; Buntkowsky, G. Structural insights into peptides bound to the surface of silica nanopores. Chem. Eur. J. 2019, 25, 5214–5221. [Google Scholar] [CrossRef]
  178. Schottner, S.; Brodrecht, M.; Uhlein, E.; Dietz, C.; Breitzke, H.; Tietze, A.A.; Buntkowsky, G.; Gallei, M. Amine-containing block copolymers for the bottom-up preparation of functional porous membranes. Macromolecules 2019, 52, 2631–2641. [Google Scholar] [CrossRef]
  179. Grün, M.; Unger, K.K.; Matsumoto, A.; Tsutsumi, K. Novel pathways for the preparation of mesoporous MCM-41 materials: Control of porosity and morphology. Microporous Mesoporous Mater. 1999, 27, 207–216. [Google Scholar] [CrossRef]
  180. Buntkowsky, G.; Vogel, M.; Winter, R. Properties of hydrogen-bonded liquids at interfaces. Z. Phys. Chem. 2018, 232, 937–972. [Google Scholar] [CrossRef]
  181. Weigler, M.; Brodrecht, M.; Breitzke, H.; Dietrich, F.; Sattig, M.; Buntkowsky, G.; Vogel, M. 2H NMR studies on water dynamics in functionalized mesoporous silica. Z. Phys. Chem. 2018, 232, 1041–1058. [Google Scholar] [CrossRef]
  182. Richert, R. Dynamics of nanoconfined supercooled liquids. Annu. Rev. Phys. Chem. 2011, 62, 65–84. [Google Scholar] [CrossRef] [PubMed]
  183. Brodrecht, M.; Klotz, E.; Lederle, C.; Breitzke, H.; Stühn, B.; Vogel, M.; Buntkowsky, G. A combined solid-state NMR, dielectric spectroscopy and calorimetric study of water in lowly hydrated MCM-41 samples. Z. Phys. Chem. 2018, 232, 1003–1016. [Google Scholar] [CrossRef]
  184. Sumper, M.; Brunner, E. Silica biomineralisation in diatoms: The model organism thalassiosira pseudonana. Chembiochem 2008, 9, 1187–1194. [Google Scholar] [CrossRef] [PubMed]
  185. Poulsen, N.; Sumper, M.; Kröger, N. Biosilica formation in diatoms: Characterization of native silaffin-2 and its role in silica morphogenesis. Proc. Natl. Acad. Sci. USA 2003, 100, 12075–12080. [Google Scholar] [CrossRef] [Green Version]
  186. Brunner, E.; Groger, C.; Lutz, K.; Richthammer, P.; Spinde, K.; Sumper, M. Analytical studies of silica biomineralization: Towards an understanding of silica processing by diatoms. Appl. Microbiol. Biotechnol. 2009, 84, 607–616. [Google Scholar] [CrossRef]
  187. Almqvist, N.; Delamo, Y.; Smith, B.L.; Thomson, N.H.; Bartholdson, A.; Lal, R.; Brzezinski, M.; Hansma, P.K. Micromechanical and structural properties of a pennate diatom investigated by atomic force microscopy. J. Microsc. 2001, 202 Pt 3, 518–532. [Google Scholar] [CrossRef]
  188. Mann, S. Biomineralization: Principles and Concepts in Bioinorganic Materials Chemistry; Oxford University Press: New York, NY, USA, 2001. [Google Scholar]
  189. Nassif, N.; Livage, J. From diatoms to silica-based biohybrids. Chem. Soc. Rev. 2011, 40, 849–859. [Google Scholar] [CrossRef] [Green Version]
  190. Hartmann, M.; Kostrov, X. Immobilization of enzymes on porous silicas - benefits and challenges. Chem. Soc. Rev. 2013, 42, 6277–6289. [Google Scholar] [CrossRef]
  191. Zhou, Z.; Piepenbreier, F.; Marthala, V.R.R.; Karbacher, K.; Hartmann, M. Immobilization of lipase in cage-type mesoporous organosilicas via covalent bonding and crosslinking. Catal. Today 2014, 243, 173–183. [Google Scholar] [CrossRef]
  192. Matlahov, I.; Geiger, Y.; Goobes, G. Trapping rnase a on MCM41 pores: Effects on structure stability, product inhibition and overall enzymatic activity. Phys. Chem. Chem. Phys. 2014, 16, 9031–9038. [Google Scholar] [CrossRef]
  193. Duer, M.J. The contribution of solid-state NMR spectroscopy to understanding biomineralization: Atomic and molecular structure of bone. J. Magn. Reson. 2015, 253, 98–110. [Google Scholar] [CrossRef] [PubMed]
  194. Brodrecht, M.; Herr, K.; Bothe, S.; de Oliveira, M.; Gutmann, T.; Buntkowsky, G. Efficient building blocks for solid-phase peptide synthesis of spin labeled peptides for electron paramagnetic resonance and dynamic nuclear polarization applications. ChemPhysChem 2019, 20, 1475–1487. [Google Scholar] [CrossRef] [PubMed]
  195. Trautmann, C. Micro-and nanoengineering with ion tracks. In Ion Beams in Nanoscience and Technology; Hellborg, R., Whitlow., H.J., Eds.; Springer: Berlin, Germany, 2009; pp. 369–387. [Google Scholar]
  196. Kumari, B.; John, D.; Hoffmann, P.; Spende, A.; Toimil-Molares, M.E.; Trautmann, C.; Hess, C.; Ruff, P.; Stark, R.; Schulze, M.; et al. Surface enhanced DNP assisted solid-state NMR of functionalized sio2 coated polycarbonate membranes. Z. Phys. Chem. 2018, 232, 1173–1186. [Google Scholar] [CrossRef]
  197. Febles, M.; Perez-Hernandez, N.; Perez, C.; Rodriguez, M.L.; Foces-Foces, C.; Roux, M.V.; Morales, E.Q.; Buntkowsky, G.; Limbach, H.-H.; Martin, J.D. Distinct dynamic behaviors of water molecules in hydrated pores. J. Am. Chem. Soc. 2006, 128, 10008–10009. [Google Scholar] [CrossRef] [PubMed]
  198. Perez-Hernandez, N.; Trung Quan, L.; Febles, M.; Marco, C.; Limbach, H.-H.; Havenith, M.; Perez, C.; Victoria Roux, M.; Perez, R.; Martin, J.D. The mobility of water molecules through hydrated pores. J. Phys. Chem. C 2012, 116, 9616–9630. [Google Scholar] [CrossRef]
  199. Hassan, J. Analysis of h-2 NMR spectra of water molecules on the surface of nano-silica material MCM-41: Deconvolution of the signal into a lorentzian and a powder pattern line shapes. Phys. B Condens. Matter 2012, 407, 179–183. [Google Scholar] [CrossRef]
  200. Hassan, J.; Reardon, E.; Peemoeller, H. Correlation between deuterium NMR spectral components and MCM-41 pore surface hydration sites. Microporous Mesoporous Mater. 2009, 122, 121–127. [Google Scholar] [CrossRef]
  201. Niknam, M.; Liang, J.; Walia, J.; Peemoeller, H. Chemical exchange and spectral coalescence in low-hydration MCM-41 studied by proton NMR. Microporous Mesoporous Mater. 2012, 162, 136–142. [Google Scholar] [CrossRef]
  202. Weigler, M.; Winter, E.; Kresse, B.; Brodrecht, M.; Buntkowsky, G.; Vogel, M. Static field gradient NMR studies of water diffusion in mesoporous silica. Phys. Chem. Chem. Phys. 2020, 22, 13989–13998. [Google Scholar] [CrossRef]
  203. Kumari, B.; Brodrecht, M.; Breitzke, H.; Werner, M.; Grunberg, B.; Limbach, H.H.; Forg, S.; Sanjon, E.P.; Drossel, B.; Gutmann, T.; et al. Mixtures of alcohols and water confined in mesoporous silica: A combined solid-state NMR and molecular dynamics simulation study. J. Phys. Chem. C 2018, 122, 19540–19550. [Google Scholar] [CrossRef]
  204. Kumari, B.; Brodrecht, M.; Gutmann, T.; Breitzke, H.; Buntkowsky, G. Efficient referencing of fslg cpmas hetcor spectra using 2d h-1-h-1 MAS fslg. Appl. Magn. Res. 2019, 50, 1399–1407. [Google Scholar] [CrossRef]
  205. Edzes, H.T.; Samulski, E.T. Measurement of cross-relaxation effects in proton nmr spin-lattice relaxation of water in biological-systems - hydrated collagen and muscle. J. Magn. Reson. 1978, 31, 207–229. [Google Scholar] [CrossRef]
  206. Peemoeller, H. NMR spin grouping. Bull. Magn. Reson 1989, 11, 19–30. [Google Scholar]
  207. Kittaka, S.; Ishimaru, S.; Kuranishi, M.; Matsuda, T.; Yamaguchi, T. Enthalpy and interfacial free energy changes of water capillary condensed in mesoporous silica, MCM-41 and SBA-15. Phys. Chem. Chem. Phys. 2006, 8, 3223–3231. [Google Scholar] [CrossRef]
  208. Debenedetti, P.G. Supercooled and glassy water. J. Phys. Condens. Matter 2003, 15, 1669–1726. [Google Scholar]
  209. Mishima, O.; Stanley, H.E. The relationship between liquid, supercooled and glassy water. Nature 1998, 396, 329–335. [Google Scholar] [CrossRef]
  210. Cerveny, S.; Mallamace, F.; Swenson, J.; Vogel, M.; Xu, L. Confined water as model of supercooled water. Chem. Rev. 2016, 116, 7608–7625. [Google Scholar] [CrossRef]
  211. Chen, S.H.; Zhang, Y.; Lagi, M.; Chong, S.H.; Baglioni, P.; Mallamace, F. Evidence of dynamic crossover phenomena in water and other glass-forming liquids: Experiments, md simulations and theory. J. Phys. Condens. Matter 2009, 21, 504102. [Google Scholar] [CrossRef]
  212. Swenson, J.; Cerveny, S. Dynamics of deeply supercooled interfacial water. J. Phys. Condens. Matter 2015, 27, 033102. [Google Scholar] [CrossRef]
  213. Weigler, M.; Brodrecht, M.; Buntkowsky, G.; Vogel, M. Reorientation of deeply cooled water in mesoporous silica: NMR studies of the pore-size dependence. J. Phys. Chem. B 2019, 123, 2123–2134. [Google Scholar] [CrossRef]
  214. Sattig, M.; Vogel, M. Dynamic crossovers and stepwise solidification of confined water: A (2)h NMR study. J. Phys. Chem. Lett. 2014, 5, 174–178. [Google Scholar] [CrossRef] [PubMed]
  215. Lederle, C.; Sattig, M.; Vogel, M. Effects of partial crystallization on the dynamics of water in mesoporous silica. J. Phys. Chem. C 2018, 122, 15427–15434. [Google Scholar] [CrossRef]
  216. Yao, Y.; Fella, V.; Huang, W.; Zhang, K.A.I.; Landfester, K.; Butt, H.J.; Vogel, M.; Floudas, G. Crystallization and dynamics of water confined in model mesoporous silica particles: Two ice nuclei and two fractions of water. Langmuir 2019, 35, 5890–5901. [Google Scholar] [CrossRef] [PubMed]
  217. Demuth, D.; Sattig, M.; Steinrücken, E.; Weigler, M.; Vogel, M. 2H NMR studies on the dynamics of pure and mixed hydrogen-bonded liquids in confinement. Z. Phys. Chem. 2018, 232, 1059–1087. [Google Scholar] [CrossRef]
  218. Miyatou, T.; Ohashi, R.; Ida, T.; Kittaka, S.; Mizuno, M. An NMR study on the mechanisms of freezing and melting of water confined in spherically mesoporous silicas SBA-16. Phys. Chem. Chem. Phys. 2016, 18, 18555–18562. [Google Scholar] [CrossRef] [PubMed]
  219. Rosenstihl, M.; Kämpf, K.; Klameth, F.; Sattig, M.; Vogel, M. Dynamics of interfacial water. J. Non Cryst. Solids 2015, 407, 449–458. [Google Scholar] [CrossRef]
  220. Vogel, M. Origins of apparent fragile-to-strong transitions of protein hydration waters. Phys. Rev. Lett. 2008, 101, 225701. [Google Scholar] [CrossRef] [Green Version]
  221. Lusceac, S.A.; Vogel, M.R.; Herbers, C.R. 2H and 13C NMR studies on the temperature-dependent water and protein dynamics in hydrated elastin, myoglobin and collagen. Biochim. Biophys. Acta 2010, 1804, 41–48. [Google Scholar] [CrossRef] [Green Version]
  222. Lusceac, S.A.; Rosenstihl, M.; Vogel, M.; Gainaru, C.; Fillmer, A.; Böhmer, R. NMR and dielectric studies of hydrated collagen and elastin: Evidence for a delocalized secondary relaxation. J. Non Cryst. Solids 2011, 357, 655–663. [Google Scholar] [CrossRef] [Green Version]
  223. Cerveny, S.; Schwartz, G.A.; Bergman, R.; Swenson, J. Glass transition and relaxation processes in supercooled water. Phys. Rev. Lett. 2004, 93, 245702. [Google Scholar] [CrossRef] [Green Version]
  224. Böhmer, R.; Diezemann, G.; Hinze, G.; Rössler, E. Dynamics of supercooled liquids and glassy solids. Prog. Nucl. Magn. Reson. Spectrosc. 2001, 39, 191–267. [Google Scholar] [CrossRef]
  225. Fujara, F.; Wefing, S.; Spiess, H.W. Dynamics of molecular reorientations: Analogies between quasielastic neutron scattering and deuteron NMR spin alignment. J. Chem. Phys. 1986, 84, 4579–4584. [Google Scholar] [CrossRef]
  226. Vogel, M.; Medick, P.; Rössler, E.A. Secondary relaxation processes in molecular glasses studied by nuclear magnetic resonance spectroscopy. Ann. Rep. NMR Spectrosc. 2005, 56, 231–299. [Google Scholar]
  227. Sjostrom, J.; Swenson, J.; Bergman, R.; Kittaka, S. Investigating hydration dependence of dynamics of confined water: Monolayer, hydration water and maxwell-wagner processes. J. Chem. Phys. 2008, 128, 154503. [Google Scholar] [CrossRef] [Green Version]
  228. Lusceac, S.A.; Gainaru, C.; Ratzke, D.A.; Graf, M.F.; Vogel, M. Secondary water relaxation in a water/dimethyl sulfoxide mixture revealed by deuteron nuclear magnetic resonance and dielectric spectroscopy. J. Phy. Chem. B 2011, 115, 11588–11596. [Google Scholar] [CrossRef]
  229. Vogel, M.; Rossler, E. Effects of various types of molecular dynamics on 1d and 2d (2)h NMR studied by random walk simulations. J. Magn. Reson. 2000, 147, 43–58. [Google Scholar] [CrossRef]
  230. Böhmer, R.; Hinze, G. Reorientations in supercooled glycerol studied by two-dimensional time-domain deuteron nuclear magnetic resonance spectroscopy. J. Chem. Phys. 1998, 109, 241–248. [Google Scholar] [CrossRef]
  231. Angell, C.A. Insights into phases of liquid water from study of its unusual glass-forming properties. Science 2008, 319, 582–587. [Google Scholar] [CrossRef] [Green Version]
  232. Amann-Winkel, K.; Böhmer, R.; Fujara, F.; Gainaru, C.; Geil, B.; Loerting, T. Colloquium: Water’s controversial glass transitions. Rev. Mod. Phys. 2016, 88, 011002. [Google Scholar] [CrossRef]
  233. Shephard, J.J.; Salzmann, C.G. Molecular reorientation dynamics govern the glass transitions of the amorphous ices. J. Phys. Chem. Lett. 2016, 7, 2281–2285. [Google Scholar] [CrossRef]
  234. Arndt, M.; Stannarius, R.; Gorbatschow, W.; Kremer, F. Dielectric investigations of the dynamic glass transition in nanopores. Phys. Rev. E 1996, 54, 5377–5390. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  235. Elamin, K.; Jansson, H.; Kittaka, S.; Swenson, J. Different behavior of water in confined solutions of high and low solute concentrations. Phys. Chem. Chem. Phys. 2013, 15, 18437. [Google Scholar] [CrossRef] [PubMed]
  236. Geske, J.; Harrach, M.; Heckmann, L.; Horstmann, R.; Klameth, F.; Müller, N.; Pafong, E.; Wohlfromm, T.; Drossel, B.; Vogel, M. Molecular dynamics simulations of water, silica, and aqueous mixtures in bulk and confinement. Z. Phys. Chem. 2018, 232, 1187–1225. [Google Scholar] [CrossRef]
  237. Fillmer, A.; Gainaru, C.; Böhmer, R. Broadened dielectric loss spectra and reduced dispersion strength of viscous glycerol in a connective tissue protein. J. Non Cryst. Solids 2010, 356, 743–746. [Google Scholar] [CrossRef]
  238. Herbers, C.R.; Sauer, D.; Vogel, M. 2H NMR studies of glycerol dynamics in protein matrices. J. Chem. Phys. 2012, 136, 124511. [Google Scholar] [CrossRef]
  239. Gruenberg, B.; Gruenberg, A.; Limbach, H.-H.; Buntkowsky, G. Melting of naphthalene confined in mesoporous silica MCM-41. Appl. Magn. Res. 2013, 44, 189–201. [Google Scholar] [CrossRef]
  240. Ebener, M.; Vonfircks, G.; Günther, H. High-resolution solid-state MAS c-13 and h-1-nmr spectra of benzenoid aromatics adsorbed on alumina and silica - successful applications of 1d-pulse and 2d-pulse experiments from liquid-state nmr. Helv. Chim. Acta 1991, 74, 1296–1304. [Google Scholar] [CrossRef]
  241. Ebener, M.; Francke, V.; Günther, H. Solid state 13C MAS NMR as a tool for the study of reactions between compounds adsorbed on porous materials. Fresenius’ J. Anal. Chem. 1997, 357, 505–507. [Google Scholar] [CrossRef]
  242. von Fircks, G.; Hausmann, H.; Francke, V.; Günther, H. High-resolution solid state 19f and 15N MAS NMR spectra of fluoroaromatics and aromatic nitrogen heterocycles physisorbed on silica and alumina. J. Org. Chem. 1997, 62, 5074–5079. [Google Scholar] [CrossRef]
  243. Günther, H.; Oepen, S.; Ebener, M.; Francke, V. NMR study of adsorption techniques for organic compounds on silica surfaces. Magn. Reson. Chem. 1999, 37, 142–146. [Google Scholar] [CrossRef]
  244. Lee, J.A.; Rösner, H.; Corrigan, J.F.; Huang, Y. Phase transitions of naphthalene and its derivatives confined in mesoporous silicas. J. Phys. Chem. C 2011, 115, 4738–4748. [Google Scholar] [CrossRef]
  245. Azais, T.; Hartmeyer, G.; Quignard, S.; Laurent, G.; Babonneau, F. Solution state NMR techniques applied to solid state samples: Characterization of benzoic acid confined in MCM-41. J. Phys. Chem. C 2010, 114, 8884–8891. [Google Scholar] [CrossRef]
  246. Shenderovich, I.G.; Buntkowsky, G.; Schreiber, A.; Gedat, E.; Sharif, S.; Albrecht, J.; Golubev, N.S.; Findenegg, G.H.; Limbach, H.H. Pyridine-n-15 - a mobile NMR sensor for surface acidity and surface defects of mesoporous silica. J. Phys. Chem. B 2003, 107, 11924–11939. [Google Scholar] [CrossRef]
  247. Shenderovich, I.G.; Mauder, D.; Akcakayiran, D.; Buntkowsky, G.; Limbach, H.-H.; Findenegg, G.H. NMR provides checklist of generic properties for atomic-scale models of periodic mesoporous silicas. J. Phys. Chem. B 2007, 111, 12088–12096. [Google Scholar] [CrossRef] [PubMed]
  248. Gurinov, A.A.; Rozhkova, Y.A.; Zukal, A.; Cejka, J.; Shenderovich, I.G. Mutable lewis and bronsted acidity of aluminated SBA-15 as revealed by NMR of adsorbed pyridine-n-15. Langmuir 2011, 27, 12115–12123. [Google Scholar] [CrossRef] [PubMed]
  249. Lesnichin, S.B.; Kamdem, N.; Mauder, D.; Denisov, G.S.; Shenderovich, I.G. Studies of adsorption of 2,2 ‘-bipyridyl on the surface of highly regulated silica matrix of the MCM-41 type by means of n-15 NMR spectroscopy. Russ. J. Gen. Chem. 2010, 80, 2027–2031. [Google Scholar] [CrossRef]
  250. Ip, B.C.K.; Andreeva, D.V.; Buntkowsky, G.; Akcakayiran, D.; Findenegg, G.H.; Shenderovich, I.G. NMR study of proton transfer to strong bases on inner surfaces of MCM-41. Microporous Mesoporous Mater. 2010, 134, 22–28. [Google Scholar] [CrossRef]
  251. Gedat, E.; Schreiber, A.; Findenegg, G.H.; Shenderovich, I.; Limbach, H.H.; Buntkowsky, G. Stray field gradient NMR reveals effects of hydrogen bonding on diffusion coefficients of pyridine in mesoporous silica. Magn. Reson. Chem. 2001, 39, 149–157. [Google Scholar] [CrossRef]
  252. Shenderovich, I.; Denisov, G.S. Adduct under field—a qualitative approach to account for solvent effect on hydrogen bonding. Molecules 2020, 25, 436. [Google Scholar] [CrossRef] [Green Version]
  253. Guo, X.-Y.; Watermann, T.; Sebastiani, D. Local microphase separation of a binary liquid under nanoscale confinement. J. Phys. Chem. B 2014, 118, 10207–10213. [Google Scholar] [CrossRef]
  254. Hermens, J.L.M.; de Bruijn, J.H.M.; Brooke, D.N. The octanol–water partition coefficient: Strengths and limitations. Environ. Toxicol. Chem. 2013, 32, 732–733. [Google Scholar] [CrossRef] [PubMed]
  255. Leo, A.; Hansch, C.; Elkins, D. Partition coefficients and their uses. Chem. Rev. 1971, 71, 525–616. [Google Scholar] [CrossRef]
  256. Harrach, M.F.; Drossel, B.; Winschel, W.; Gutmann, T.; Buntkowsky, G. Mixtures of isobutyric acid and water confined in cylindrical silica nanopores revisited: A combined solid-state NMR and molecular dynamics simulation study. J. Phys. Chem. C 2015, 119, 28961–28969. [Google Scholar] [CrossRef]
  257. van Rossum, B.J.; Förster, H.; de Groot, H.J.M. High-field and high-speed cp-MAS c-13 NMR heteronuclear dipolar-correlation spectroscopy of solids with frequency-switched lee-goldburg homonuclear decoupling. J. Magn. Reson. 1997, 124, 516–519. [Google Scholar] [CrossRef]
  258. Sattig, M.; Elamin, K.; Reuhl, M.; Swenson, J.; Vogel, M. Dynamics of dipgme–water mixtures in mesoporous silica. J. Phys. Chem. C 2017, 121, 6796–6806. [Google Scholar] [CrossRef]
  259. Schmitz, R.; Muller, N.; Ullmann, S.; Vogel, M. A molecular dynamics simulations study on ethylene glycol-water mixtures in mesoporous silica. J. Chem. Phys. 2016, 145, 104703. [Google Scholar] [CrossRef]
  260. Sauer, D.; Schuster, B.; Rosenstihl, M.; Schneider, S.; Talluto, V.; Walther, T.; Blochowicz, T.; Stuhn, B.; Vogel, M. Dynamics of water-alcohol mixtures: Insights from nuclear magnetic resonance, broadband dielectric spectroscopy, and triplet solvation dynamics. J. Chem. Phys. 2014, 140, 114503. [Google Scholar] [CrossRef]
  261. Sjostrom, J.; Mattsson, J.; Bergman, R.; Johansson, E.; Josefsson, K.; Svantesson, D.; Swenson, J. Dielectric secondary relaxation of water in aqueous binary glass-formers. Phys. Chem. Chem. Phys. 2010, 12, 10452–10456. [Google Scholar] [CrossRef] [Green Version]
  262. Wasserscheid, P.; Keim, W. Ionic liquids - new “solutions” for transition metal catalysis. Angew. Chem. Int. Ed. 2000, 39, 3772–3789. [Google Scholar] [CrossRef]
  263. Hardacre, C.; Holbrey, J.D.; Nieuwenhuyzen, M.; Youngs, T.G.A. Structure and solvation in ionic liquids. Acc. Chem. Res. 2007, 40, 1146–1155. [Google Scholar] [CrossRef]
  264. Poole, C.F.; Poole, S.K. Extraction of organic compounds with room temperature ionic liquids. J. Chromatogr. A 2010, 1217, 2268–2286. [Google Scholar] [CrossRef] [PubMed]
  265. Chiappe, C.; Pieraccini, D. Ionic liquids: Solvent properties and organic reactivity. J. Phys. Org. Chem. 2005, 18, 275–297. [Google Scholar] [CrossRef]
  266. Haumann, M.; Schoenweiz, A.; Breitzke, H.; Buntkowsky, G.; Werner, S.; Szesni, N. Solid-state NMR investigations of supported ionic liquid phase water-gas shift catalysts: Ionic liquid film distribution vs. Catal. Perform. Chem. Eng. Technol. 2012, 35, 1421–1426. [Google Scholar]
  267. Shylesh, S.; Hanna, D.; Werner, S.; Bell, A.T. Factors influencing the activity, selectivity, and stability of rh-based supported ionic liquid phase (silp) catalysts for hydroformylation of propene. ACS Catal. 2012, 2, 487–493. [Google Scholar] [CrossRef]
  268. Le Bideau, J.; Gaveau, P.; Bellayer, S.; Neouze, M.A.; Vioux, A. Effect of confinement on ionic liquids dynamics in monolithic silica ionogels: H-1 NMR study. Phys. Chem. Chem. Phys. 2007, 9, 5419–5422. [Google Scholar] [CrossRef]
  269. Rosa Castillo, M.; Fraile, J.M.; Mayoral, J.A. Structure and dynamics of 1-butyl-3-methylimidazolium hexafluorophosphate phases on silica and laponite clay: From liquid to solid behavior. Langmuir 2012, 28, 11364–11375. [Google Scholar] [CrossRef]
  270. Waechtler, M.; Sellin, M.; Stark, A.; Akcakayiran, D.; Findenegg, G.; Gruenberg, A.; Breitzke, H.; Buntkowsky, G. H-2 and f-19 solid-state NMR studies of the ionic liquid [c2py][bta]-d(10) confined in mesoporous silica materials. Phys. Chem. Chem. Phys. 2010, 12, 11371–11379. [Google Scholar] [CrossRef]
  271. Hoffmann, M.M.; Bothe, S.; Brodrecht, M.; Klimavicius, V.; Haro-Mares, N.B.; Gutmann, T.; Buntkowsky, G. Direct and indirect dynamic nuclear polarization transfer observed in mesoporous materials impregnated with nonionic surfactant solutions of polar polarizing agents. J. Phys. Chem. C 2020, 124, 5145–5156. [Google Scholar] [CrossRef]
Figure 1. Upper panel: Different types of silica sites. Lower panel: 29Si CPMAS (10 kHz) spectra of (a) neat and (b) functionalized silica, showing the appearance of Tn-groups by the functionalization. (adapted from Weigler et al. [181]). (c): 1H SSNMR spectrum of a non-dried MCM-41 at 10 kHz (black). Deconvolution (blue), sum of deconvolution (magenta) and assignment of water species to the peaks [36].
Figure 1. Upper panel: Different types of silica sites. Lower panel: 29Si CPMAS (10 kHz) spectra of (a) neat and (b) functionalized silica, showing the appearance of Tn-groups by the functionalization. (adapted from Weigler et al. [181]). (c): 1H SSNMR spectrum of a non-dried MCM-41 at 10 kHz (black). Deconvolution (blue), sum of deconvolution (magenta) and assignment of water species to the peaks [36].
Molecules 25 03311 g001
Figure 2. (a) 13C CPMAS NMR of the immobilization via the grafting approach of the nonapeptide h-[Gly-Pro-Hyp]3-oh on carboxyl functionalized mesoporous silica: (i) neat carboxyl functionalized silica support; (ii) TSTU (N,N,N′,N′-tetramethyl-O-(N-succinimidyl)uroniumtetrafluorborat) pre-activated silica; (iii) free nonapeptide h-[Gly-Pro-Hyp]3-oh; (iv) nonapeptide grafted on silica. Note: Signals marked with * refer to spinning sidebands. (adapted from [47]). (b) 13C CP MAS NMR of the steps of the in-pore SPPS (solid phase peptide synthesis) of functionalized SBA-15 (i), Fmoc-glycine functionalized species (ii), glycine functionalized species (iii), Fmoc-phenylalanine-glycine functionalized species (iv), phenylalanine-glycine functionalized species (v) (adapted from Brodrecht et al. [175]).
Figure 2. (a) 13C CPMAS NMR of the immobilization via the grafting approach of the nonapeptide h-[Gly-Pro-Hyp]3-oh on carboxyl functionalized mesoporous silica: (i) neat carboxyl functionalized silica support; (ii) TSTU (N,N,N′,N′-tetramethyl-O-(N-succinimidyl)uroniumtetrafluorborat) pre-activated silica; (iii) free nonapeptide h-[Gly-Pro-Hyp]3-oh; (iv) nonapeptide grafted on silica. Note: Signals marked with * refer to spinning sidebands. (adapted from [47]). (b) 13C CP MAS NMR of the steps of the in-pore SPPS (solid phase peptide synthesis) of functionalized SBA-15 (i), Fmoc-glycine functionalized species (ii), glycine functionalized species (iii), Fmoc-phenylalanine-glycine functionalized species (iv), phenylalanine-glycine functionalized species (v) (adapted from Brodrecht et al. [175]).
Molecules 25 03311 g002
Figure 3. (a): Sketch of the three-step process to synthesize amine functionalized silica coated porous polycarbonate-membranes (see text for details). (b): DNP enhanced 29Si CPMAS spectra (i) revealing the characteristic Tn-groups in the tenfold magnefication (ii) (adapted from [196])).
Figure 3. (a): Sketch of the three-step process to synthesize amine functionalized silica coated porous polycarbonate-membranes (see text for details). (b): DNP enhanced 29Si CPMAS spectra (i) revealing the characteristic Tn-groups in the tenfold magnefication (ii) (adapted from [196])).
Molecules 25 03311 g003
Figure 4. Correlation times of water reorientation in MCM-41 and SBA-15: (a) Results for H2O and D2O in MCM-41 pores with a diameter of 2.8 nm from BDS, 2H spin-lattice relaxation (SLR), and 2H stimulated-echo (STE) experiments [215]. The dashed line marks the melting temperature Tm of water in these confinements, as obtained from DSC (adapted from [215]). (b) Results for H2O and D2O in MCM-41 pores with the indicated diameters from 2H NMR [213] and BDS (stars) [212,215]. The dashed line is an interpolation of the high-temperature data with a Vogel-Fulcher-Tammann relation. The solid line is an Arrhenius fit of the low-temperature results, yielding an activation energy of 0.5 eV (adapted from [213]).
Figure 4. Correlation times of water reorientation in MCM-41 and SBA-15: (a) Results for H2O and D2O in MCM-41 pores with a diameter of 2.8 nm from BDS, 2H spin-lattice relaxation (SLR), and 2H stimulated-echo (STE) experiments [215]. The dashed line marks the melting temperature Tm of water in these confinements, as obtained from DSC (adapted from [215]). (b) Results for H2O and D2O in MCM-41 pores with the indicated diameters from 2H NMR [213] and BDS (stars) [212,215]. The dashed line is an interpolation of the high-temperature data with a Vogel-Fulcher-Tammann relation. The solid line is an Arrhenius fit of the low-temperature results, yielding an activation energy of 0.5 eV (adapted from [213]).
Molecules 25 03311 g004
Figure 6. Temperature-dependent correlation times of glycerol-d5 in the bulk liquid and in MCM-41 pores with the indicated diameters. Results from 2H NMR (spin-lattice relaxation and stimulated-echo experiments) and BDS are compared. The solid line is an interpolation with a Vogel-Fulcher-Tammann relation.
Figure 6. Temperature-dependent correlation times of glycerol-d5 in the bulk liquid and in MCM-41 pores with the indicated diameters. Results from 2H NMR (spin-lattice relaxation and stimulated-echo experiments) and BDS are compared. The solid line is an interpolation with a Vogel-Fulcher-Tammann relation.
Molecules 25 03311 g006
Figure 7. (a): cartoon of biphenyl [43] and (b) naphthalene [239] confined in MCM-41. In the case of biphenyl there are two possible rotational modes, namely, the rotation of a single phenyl ring and a molecular rotation. (c) experimental (lower traces) and simulated (upper traces) 2H solid-echo NMR spectra of the melting process of biphenyl-d10 inside silylated MCM-41 (daver = 29 Å) at different temperatures [43]. (d): experimental variable temperature 2H solid-echo NMR spectra of the melting process of naphthalene-d8 inside MCM-41 (daver = 33 Å) (i): experiment; (ii): simulated octahedral jump; (iii): two-phase model). All spectra are normalized to equal height (figure reproduced with permission from [176], copyright Walter de Gruyter and Company).
Figure 7. (a): cartoon of biphenyl [43] and (b) naphthalene [239] confined in MCM-41. In the case of biphenyl there are two possible rotational modes, namely, the rotation of a single phenyl ring and a molecular rotation. (c) experimental (lower traces) and simulated (upper traces) 2H solid-echo NMR spectra of the melting process of biphenyl-d10 inside silylated MCM-41 (daver = 29 Å) at different temperatures [43]. (d): experimental variable temperature 2H solid-echo NMR spectra of the melting process of naphthalene-d8 inside MCM-41 (daver = 33 Å) (i): experiment; (ii): simulated octahedral jump; (iii): two-phase model). All spectra are normalized to equal height (figure reproduced with permission from [176], copyright Walter de Gruyter and Company).
Molecules 25 03311 g007
Figure 8. Upper panel: Room temperature 1H-29Si CPMAS FSLG-HETCOR experiment measured at 8 kHz spinning of dried SBA-15 filled with a mixture of 80:20 mol% of 1-octanol and water with a contact time of (a) 3 ms and (b) 9 ms. Lower panel: (c) schematic models for interactions of the pore surface of SBA-15 with 1-octanol. (d) Graphical visualization of a feasible bilayer formation of 1-octanol inside the pore. Water molecules are concentrated near the pore wall as well as in the pore center. The intermediated area between pore wall and pore center is occupied by the aliphatic hydrophobic chains of the 1-octanol molecules (adapted from Kumari et al. [203]).
Figure 8. Upper panel: Room temperature 1H-29Si CPMAS FSLG-HETCOR experiment measured at 8 kHz spinning of dried SBA-15 filled with a mixture of 80:20 mol% of 1-octanol and water with a contact time of (a) 3 ms and (b) 9 ms. Lower panel: (c) schematic models for interactions of the pore surface of SBA-15 with 1-octanol. (d) Graphical visualization of a feasible bilayer formation of 1-octanol inside the pore. Water molecules are concentrated near the pore wall as well as in the pore center. The intermediated area between pore wall and pore center is occupied by the aliphatic hydrophobic chains of the 1-octanol molecules (adapted from Kumari et al. [203]).
Molecules 25 03311 g008
Figure 9. 2D 1H-29Si FSLG HETCOR experiments of iBA/H2O mixtures confined in SBA-15 with contact times of (a) 3 ms (longer distances) and (b) 0.5 ms (shorter distances) clearly reveal that both hydroxy- and aliphatic protons are in contact with the surface silicon nuclei (56 wt % iBA, 9.4Tesla, 100 K, 8 kHz MAS, 89 kHz FSLG homonuclear decoupling [257]). (Figure adapted from [256]).
Figure 9. 2D 1H-29Si FSLG HETCOR experiments of iBA/H2O mixtures confined in SBA-15 with contact times of (a) 3 ms (longer distances) and (b) 0.5 ms (shorter distances) clearly reveal that both hydroxy- and aliphatic protons are in contact with the surface silicon nuclei (56 wt % iBA, 9.4Tesla, 100 K, 8 kHz MAS, 89 kHz FSLG homonuclear decoupling [257]). (Figure adapted from [256]).
Molecules 25 03311 g009
Figure 10. (a): density profiles for iBA and water calculated by molecular dynamics simulations. The center of Table 0. Å. (b): Density of hydrogen atoms as a function of the distance to the closest surface silanol group (figure reproduced from [256] with permission, copyright American Chemical Society).
Figure 10. (a): density profiles for iBA and water calculated by molecular dynamics simulations. The center of Table 0. Å. (b): Density of hydrogen atoms as a function of the distance to the closest surface silanol group (figure reproduced from [256] with permission, copyright American Chemical Society).
Molecules 25 03311 g010
Figure 11. Buildup of 2H magnetization M(t) for water-glycol mixtures in the bulk and in MCM-41 pores (diameter 2.8 nm): (a) Confined PG-D2O mixture (45 wt % water) together with fits to monomodal (222 K) and bimodal (220 K) spin-lattice relaxation. At the lower temperature, the relative height of the fast and slow steps differs during the first and second cycles of a staggered-range measurement performed directly after temperature equilibration (squares), while this discrepancy does not occur during a later measurement. (b) Bulk and confined PGME-D2O mixtures at 240 K. The samples are denoted according to the weight percentages of water followed by the letters ‘b’ and ‘c’ for bulk (open symbols) and confined (solid symbols) mixtures, respectively.
Figure 11. Buildup of 2H magnetization M(t) for water-glycol mixtures in the bulk and in MCM-41 pores (diameter 2.8 nm): (a) Confined PG-D2O mixture (45 wt % water) together with fits to monomodal (222 K) and bimodal (220 K) spin-lattice relaxation. At the lower temperature, the relative height of the fast and slow steps differs during the first and second cycles of a staggered-range measurement performed directly after temperature equilibration (squares), while this discrepancy does not occur during a later measurement. (b) Bulk and confined PGME-D2O mixtures at 240 K. The samples are denoted according to the weight percentages of water followed by the letters ‘b’ and ‘c’ for bulk (open symbols) and confined (solid symbols) mixtures, respectively.
Molecules 25 03311 g011
Figure 12. Temperature-dependent 2H NMR correlation times of 25 wt % water-glycerol-d5 mixture in the bulk liquid, in MCM-41 pores (diameter 2.8 nm), and in an elastin matrix (0.3 gsolvent/gelastin) [217]. The 2H NMR data (squares, circles, and up triangles) selectively characterize the rotational motion of the deuterated glycerol compound. The BDS data (diamonds, down triangles) receive contributions from both water and glycerol reorientations.
Figure 12. Temperature-dependent 2H NMR correlation times of 25 wt % water-glycerol-d5 mixture in the bulk liquid, in MCM-41 pores (diameter 2.8 nm), and in an elastin matrix (0.3 gsolvent/gelastin) [217]. The 2H NMR data (squares, circles, and up triangles) selectively characterize the rotational motion of the deuterated glycerol compound. The BDS data (diamonds, down triangles) receive contributions from both water and glycerol reorientations.
Molecules 25 03311 g012
Figure 13. Results from 2H NMR studies on 45 wt % water-propylene glycol mixture in the bulk liquid and in MCM-41 pores (diameter 2.8 nm) [217]: (a) Rotational correlation functions F2(tm) from stimulated-echo experiments at ~163 K and ~173 K. The lines are fits to a Kohlrausch function. (b) Temperature-dependent correlation times from (triangles) spin-lattice relaxation, (diamonds) line-shape analysis, and (squares) stimulated-echo experiments. The line is a Vogel-Fulcher-Tammann fit of the spin-lattice relaxation results for the confined mixture, which probe its structural α relaxation. For comparison, results for the secondary β relaxation from BDS on the bulk mixture are included as stars [261] (adapted from [217]).
Figure 13. Results from 2H NMR studies on 45 wt % water-propylene glycol mixture in the bulk liquid and in MCM-41 pores (diameter 2.8 nm) [217]: (a) Rotational correlation functions F2(tm) from stimulated-echo experiments at ~163 K and ~173 K. The lines are fits to a Kohlrausch function. (b) Temperature-dependent correlation times from (triangles) spin-lattice relaxation, (diamonds) line-shape analysis, and (squares) stimulated-echo experiments. The line is a Vogel-Fulcher-Tammann fit of the spin-lattice relaxation results for the confined mixture, which probe its structural α relaxation. For comparison, results for the secondary β relaxation from BDS on the bulk mixture are included as stars [261] (adapted from [217]).
Molecules 25 03311 g013

Share and Cite

MDPI and ACS Style

Buntkowsky, G.; Vogel, M. Small Molecules, Non-Covalent Interactions, and Confinement. Molecules 2020, 25, 3311. https://doi.org/10.3390/molecules25143311

AMA Style

Buntkowsky G, Vogel M. Small Molecules, Non-Covalent Interactions, and Confinement. Molecules. 2020; 25(14):3311. https://doi.org/10.3390/molecules25143311

Chicago/Turabian Style

Buntkowsky, Gerd, and Michael Vogel. 2020. "Small Molecules, Non-Covalent Interactions, and Confinement" Molecules 25, no. 14: 3311. https://doi.org/10.3390/molecules25143311

APA Style

Buntkowsky, G., & Vogel, M. (2020). Small Molecules, Non-Covalent Interactions, and Confinement. Molecules, 25(14), 3311. https://doi.org/10.3390/molecules25143311

Article Metrics

Back to TopTop