Next Article in Journal
Rhododendron luteum Sweet Flower Supercritical CO2 Extracts: Terpenes Composition, Pro-Inflammatory Enzymes Inhibition and Antioxidant Activity
Previous Article in Journal
Mitochondrial Aconitase and Its Contribution to the Pathogenesis of Neurodegenerative Diseases
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Adsorption of Carbon Dioxide and Nitrogen in Co3(ndc)3(dabco) Metal–Organic Framework

by
Rui Pedro Pinto Lopes Ribeiro
*,† and
José Paulo Barbosa Mota
LAQV-REQUIMTE, Department of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal
*
Author to whom correspondence should be addressed.
Current Adress: HyLab–Green Hydrogen Collaborative Laboratory, Estrada Nacional 120-1 Central Termoeléctrica, 7520-089 Sines, Portugal.
Int. J. Mol. Sci. 2024, 25(18), 9951; https://doi.org/10.3390/ijms25189951
Submission received: 1 August 2024 / Revised: 8 September 2024 / Accepted: 13 September 2024 / Published: 15 September 2024

Abstract

:
Metal–organic frameworks (MOFs) are promising materials for processes such as carbon dioxide (CO2) capture or its storage. In this work, the adsorption of CO2 and nitrogen (N2) in Co3(ndc)3(dabco) MOF (ndc: 2,6-naphthalenedicarboxylate; dabco: 1,4-diazabicyclo[2.2.2]octane) is reported for the first time over the temperature range of 273–323 K and up to 35 bar. The adsorption isotherms are successfully described using the Langmuir isotherm model. The heats of adsorption for CO2 and N2, determined through the Clausius–Clapeyron equation, are 20–27 kJ/mol and 10–11 kJ/mol, respectively. The impact of using pressure and/or temperature swings on the CO2 working capacity is evaluated. If a flue gas with 15% CO2 is fed at 6 bar and 303 K and regenerated at 1 bar and 373 K, 1.58 moles of CO2 can be captured per kg of MOF. The analysis of the multicomponent adsorption of typical flue gas streams (15% CO2 balanced with N2), using the ideal adsorbed solution theory (IAST), shows that at 1 bar and 303 K, the CO2/N2 selectivity is 11.5. In summary, this work reports essential data for the design of adsorption-based processes for CO2 capture using a Co3(ndc)3(dabco) MOF, such as pressure swing adsorption (PSA).

1. Introduction

The urgency to control climate change is increasing every day. At this point, a combination of approaches and technologies is needed to reduce atmospheric greenhouse gas concentrations. Further developments in sustainable and green energy sources, improvement in energy efficiency, and advancements in carbon capture for storage or utilization (CCS/CCU) are needed [1]. Adsorption processes are a promising approach for several of these necessary developments. Adsorption can be used for carbon dioxide (CO2) capture from flue gases and biogas upgrading [2,3,4,5,6]. Several porous materials have been evaluated for such applications, including activated carbons [7,8,9], zeolites [10,11], amine-modified solid supports [12,13], and more. Furthermore, in the last decade, metal–organic frameworks (MOFs) have been extensively studied as adsorbents in CO2 removal applications [14,15,16,17,18].
MOFs are porous crystalline materials in which the porous network is based on the linkage of metal centers and organic moieties [19]. This rationale behind MOF structures allows for the design and synthesis of an almost unlimited number of morphologies. Additionally, pore size tuning and functionalization are straightforward [20]. This positions MOF materials as a unique class of porous solids suitable not only for gas separation but also for other applications such as catalysis, drug delivery, and sensors [21,22,23,24,25,26].
In this work, we study the adsorption equilibrium of CO2 and nitrogen (N2) on the scarcely studied Co3(ndc)3(dabco) MOF. This porous material has high surface area, narrow channels, and high thermal stability [27]. Previous reports have shown that it has high adsorption capacity for hydrogen (H2) and methane (CH4) storage [17,27]. Co3(ndc)3(dabco) consists of a variation of the primitive cubic net with three-dimensionally connected pores (ndc: 2,6-naphthalenedicarboxylate; dabco: 1,4-diazabicyclo[2.2.2]octane), see Figure 1 and Figure 2.
Here, we present the adsorption equilibrium isotherms of CO2 and N2 at 273 K, 303 K, and 323 K on Co3(ndc)3(dabco) up to 35 bar. Furthermore, we fit the Langmuir isotherm model to the experimental adsorption data and estimate the CO2/N2 selectivity for typical flue gas streams using the ideal adsorbed solution theory (IAST). The isosteric heat of adsorption is calculated from the experimental adsorption equilibrium data.

2. Results and Discussion

The single-component adsorption equilibrium of CO2 and N2 on Co3(ndc)3(dabco) was measured at 273 K, 303 K, and 323 K and up to 35 bar. The adsorption equilibrium data are first interpreted in terms of the net amount adsorbed, q net , and subsequently converted to the absolute amount adsorbed, q , using the specific volumes of the porous space and solid matrix ( v p = 0.77 cm3/g; v s = 0.58 cm3/g), which were obtained from N2 physisorption at 77 K and He picnometry at 323 K, respectively [28]. The net and absolute amounts adsorbed for CO2 and N2 are listed in Table 1 and Table 2. The visualization of both adsorption quantities is exemplified in Figure 3 for CO2 and N2 adsorption at 303 K. The results show that in the low-pressure region, q net and q are equivalent but diverge in the high-pressure region. This illustrates the well-known importance of conversion to absolute amounts, especially from medium to high pressures.
The CO2 and N2 adsorption equilibrium isotherms, reported in absolute amount adsorbed, are shown in Figure 4a and Figure 4b, respectively, and display the measured adsorption and desorption data. The experimental data indicate the absence of hysteresis and show that both gases exhibit classic Langmuirian Type I isotherms according to the physisorption isotherm classification recommended by IUPAC [29]. This reflects the behavior of a microporous adsorbent material, as is the case of the MOF under study and was reported in our previous study [28]. N2 adsorption (77 K) on this MOF sample demonstrated its porosity falls entirely in the micropore range, presenting a specific surface area of 1460 m2/g and pore volume of 0.77 cm3/g [28].
The CO2 adsorption isotherms are steeper in the Henry law region than the N2 isotherms, and the CO2 adsorption capacity is much greater in the high-pressure region. Thus, the MOF demonstrates high CO2 adsorption capacities at low pressures, an important feature for post-combustion carbon capture applications. The N2 adsorption isotherms are much closer to linearity and present lower adsorption capacities than those of CO2.
The Langmuir adsorption model was successfully fitted to the experimental adsorption equilibrium data, as shown in Figure 3. This figure demonstrates that the Langmuir model, which can be taken as one of the simplest nonlinear adsorption isotherm models, effectively describes the experimental data at both low and high pressures and can be employed in process modeling and simulation. The parameters obtained from the Langmuirian fitting and the average relative error (ARE) are presented in Table 3.
A preliminary evaluation of the potential of Co3(ndc)3(dabco) for CO2 capture can be based on the theoretical net amount adsorbed under different feed and regeneration conditions (pressure/temperature) that emulate adsorption processes based on pressure and temperature swings. Figure 5 shows contour plots of the CO2 working capacity as a function of the CO2 feed pressure and selected desorption temperature. The working capacity is defined as the CO2 amount adsorbed in the feed conditions minus the amount that remains adsorbed at desorption conditions. It should be noted that the amounts adsorbed at higher temperatures were obtained by extrapolating the adsorption equilibrium measured at 273–323 K using the previously fitted Langmuir isotherm model. The results indicate that the CO2 pressure at feed conditions significantly impacts the working capacity; on the other hand, the temperature appears to have a more moderate effect on the CO2 working capacity. For example, using a high (desorption) temperature of 373 K and a CO2 feed pressure of 0.45 bar, the CO2 working capacity is q = 0.76 mol/kg. This value can be significantly increased (to q = 1.58 mol/kg) by doubling PCO2,feed to 0.9 bar (equivalent to a total pressure of 6 bar for a flue gas with 15%-mol CO2). Additionally, if the desorption temperature is the same as the feed temperature (303 K), the CO2 working capacity, swinging between 0.9 and 0.15 bar of CO2, would be 1.38 mol/kg. This demonstrates that pressure swings provide a much more effective approach than temperature swings for regenerating Co3(ndc)3(dabco) when adsorbing CO2.
Figure 6 shows a comparison between the adsorption equilibrium isotherm of CO2 on Co3(ndc)3(dabco) at 303 K with other MOF materials evaluated by our group under the same thermodynamic conditions. The MOF under study in this work presents a significantly higher adsorption capacity at the high-pressure limit, followed by ZIF-8 [ZIF: Zeolitic imidazolate framework], MIL-53(Al) [MIL: Materials Institute Lavoisier], Zn(dcpa) [dcpa: 2,6-dichlorophenylacetate], and Fe-BTC [BTC: benzene-1,3,5-tricarboxylate]. This behavior is due to the large specific pore volume of CO3(ndc)3(dabco), 0.77 cm3/g. This highlights the great potential of this MOF not only for CO2 separation from gas mixtures but also for adsorptive storage of large amounts of CO2.
The ideal adsorbed solution theory (IAST) is employed to predict the adsorption behavior of CO2/N2 mixtures. The potential of Co3(ndc)3(dabco) for use in CO2/N2 separations can be initially evaluated by comparing the multicomponent adsorption equilibria predicted from the single-component measurements. Figure 7 presents the binary adsorption equilibrium results predicted for 303 K and 1 bar using IAST and the straightforward extension of the Langmuir model to multicomponent adsorption. Both the IAST and extended Langmuir isotherm model predict similar competitive adsorption equilibrium isotherms. However, slight differences in the equilibrium data result in different selectivity values: 11.4 for the Langmuir model and between 11.4 e 12.7 for the IAST predictions.
The isosteric heat of adsorption, Q st , was calculated from the experimental adsorption equilibrium data through the Clausius–Clapeyron equation [31]: ( log   P ) q = const Q st / R T , where R is the ideal gas constant, T the system temperature, and P the partial pressure of the adsorptive in the gas phase. According to this relationship, a plot of log   P versus 1 / R T , at constant loading q , should yield a straight line with a slope giving the value of   Q st . Since the experimental adsorption data are never obtained at constant loading, for the purpose of calculating Q st , the adsorption equilibrium isotherms were fitted to polynomials to determine the pressure values corresponding to the same loading amounts.
The CO2 and N2 isosteric heats of adsorption as a function of adsorbate loading are plotted in Figure 8. The results show that for CO2, Q st increases with the loading from approximately 20 to 27 kJ/mol, while for N2, the value remains almost constant at 11 ± 0.5 kJ/mol. The values determined from the experimental data are consistent with those obtained from the Langmuir fitting of the Langmuir adsorption isotherm model, which are 25.0 kJ/mol for CO2 and 11.8 kJ/mol for N2.

3. Materials and Methods

The Co3(ndc)3(dabco) sample under study was supplied by the Materials Center at the Technical University Dresden (Dresden, Germany). Its detailed characterization, including powder X-ray diffraction (PXRD), thermogravimetric analysis (TGA), N2 physisorption at 77 K, and helium porosimetry, is reported elsewhere [17,28]. The gases used were provided by Air Liquide (Algés, Portugal) with purity of 99.998% (CO2) and 99.995% (N2).
Single-component adsorption equilibrium isotherms of CO2 and N2 up to 35 bar were measured at 273 K, 303 K, and 323 K using a high-pressure magnetic-suspension microbalance ISOSORP 2000 (Rubotherm GmbH, Bochum, Germany) [14,32]. The Rubotherm balance has a resolution of 10−5 g, uncertainty ≤ 0.002%, and reproducibility ≤ 3 × 10−5 g for a maximum load of 25 g. The temperature inside the measurement chamber (containing the MOF sample) is controlled (±0.1 K) with a Julabo GmbH thermostatic bath F32 HL (Seelbach, Germany). The pressure measurements are made using three pressure transducers with different ranges to ensure good measurement accuracy at all evaluated pressures. For pressure up to 1 bar, a Baratron model 627D (MKS Instruments GmbH, Munich, Germany), with accuracy of 0.12% of the measured value, is used. Within the 0–10 bar and 10–35 bar ranges, Omegadyne Inc. (Sunbury, OH, USA) models PX01C1-150A5T and PX01C1-500A5T are used, respectively (both with an accuracy of 0.05% of the full scale). The data are monitored and recorded using an in-house developed software.
The adsorption equilibrium data were determined using a MOF sample of about 600 mg, with several steps of gas supply to the measurement chamber. Upon reaching the maximum pressure of the isotherm being measured, sequential depressurization steps were also performed to collect both adsorption and desorption data, allowing for the evaluation of hysteretic effects. Detailed information about the apparatus and procedure employed here are reported elsewhere [32].
The Co3(ndc)3(dabco) sample was received already activated and stored under an argon atmosphere. Therefore, prior to the adsorption measurements, the pre-treatment of the sample was limited to vacuum overnight at the highest temperature of measurement (323 K). The synthesis and characterization of the Co3(ndc)3(dabco) was previously detailed by Ribeiro et al. [17,28].
Adsorption equilibrium data determined experimentally can be reported in terms of different quantities, namely, net, excess, and absolute amounts [33,34]. Here, the interpretation of the experimental data is first carried out in terms of net adsorption, as this approach allows for presenting the amount adsorbed without relying on a reference state, which is typically established using (nearly) nonadsorbing probe molecules (e.g., helium). The net amount adsorbed per mass of adsorbent, q net , is determined by
q net = w m s m h + V h ρ g m s   ,
where w is the apparent mass measured in the balance, m s is the mass of adsorbent employed, m h and V h are the mass and volume of all physical parts in the measuring cell that contribute to buoyancy effects, and ρ g is the gas density at the equilibrium pressure and temperature.
Upon determining q net , the absolute amount adsorbed, q, can be obtained from
q = q net + v p + v s ρ g ,
where v p is the specific pore volume of the adsorbent, and v s is the specific volume of its solid matrix, i.e., the volume impenetrable to the adsorbate molecules ( v s = 1 / ρ s , where ρ s is the skeletal density of the adsorbent). The skeletal density was previously determined through helium picnometry, corresponding to the density of the effective solid phase in which the adsorbate molecules cannot penetrate [28].
After measuring the adsorption equilibrium isotherms and converting the data to absolute adsorption, the data were fitted using the Langmuir model, which can be described as follows:
q = q s b P 1 + b P .
Here, q is the amount adsorbed, q s is the maximum (saturation) loading, P is the pressure, and b is the adsorption affinity constant, whose temperature dependence is described as
b = b 0 e x p Q R T ,
where b 0 is the pre-exponential factor, Q is the average heat of adsorption, R is the ideal gas constant, and T is the temperature.
The Langmuir model is fitted by minimizing the average relative error (ARE) between the fitted and experimental values, defined as
A R E ( % ) = 100 N e x p q f i t q e x p q e x p ,
where q f i t and q e x p are the fitted and experimental values, respectively, and N e x p is the number of experimental points of the isotherms.
After fitting the Langmuir model to the experimental adsorption isotherms, the ideal adsorbed solution theory (IAST) was applied to extract selectivity predictions for the CO2/N2 separation. The calculations were performed using Matlab. IAST approximates a real adsorbed phase of N components as an ideal mixture of pure adsorbed gases at constant surface potential [35,36]. The spreading pressure, π , of the gas mixture is considered a dependent variable, just like temperature or partial pressure of each adsorbate; π is defined as
π A R T = 0 p i 0 q i 0 p , T d p                       c o n s t   T ,
where i is the component index, A is the surface area of the adsorbent, R is the ideal gas constant, and q i 0 is the adsorption isotherm of pure component i at the system temperature T . Under equilibrium conditions, p i 0 is the hypothetical pressure at which the adsorption of pure component i yields the same value of π as that of the mixture at temperature T.
For an ideal adsorbed solution, the relationship between bulk and adsorbed phases can be expressed by the analog of Raoult’s law:
p i = y i P = x i p i 0 ,
j x j = 1 ,
where y i is the mole fraction of component i in the gas phase, and x i is its mole fraction in the adsorbed phase, derived from the values of π , temperature, and partial pressures. The total amount adsorbed, q , is calculated as follows:
1 q = i x i q i 0 ( p i 0 , T )   ,
from which the amount of component i adsorbed is easily determined:
q i = x i q .

4. Conclusions

The adsorption equilibrium of CO2 and N2 on Co3(ndc)3(dabco) MOF at 273–323 K and up to 35 bar was experimentally determined. The isotherms were successfully described by the Langmuir model, and the heats of adsorption determined through the Clausius–Clapeyron equation are in the range 20–27 kJ/mol for CO2 and 10.5–11.5 kJ/mol for N2. Co3(ndc)3(dabco) has a CO2 working capacity of 1.58 mol/kg for adsorption and desorption conditions of 0.9 bar/303 K and 0.15 bar/373 K, respectively. The selectivity predicted by IAST for a CO2/N2 mixture of 15%/85% at 1 bar and 303 K is 11.5.
The data presented and analyzed in this work demonstrate the suitability of Co3(ndc)3(dabco) as a CO2 adsorbent that can be employed in pressure swing adsorption processes.

Author Contributions

Conceptualization, R.P.P.L.R.; methodology, R.P.P.L.R.; formal analysis, R.P.P.L.R.; investigation, R.P.P.L.R.; writing—original draft preparation, R.P.P.L.R.; writing—review and editing, J.P.B.M.; visualization, R.P.P.L.R.; funding acquisition, J.P.B.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work received support from FCT/MCTES (LA/P/0008/2020 DOI 10.54499/LA/P/0008/2020, UIDP/50006/2020 DOI 10.54499/UIDP/50006/2020 and UIDB/50006/2020 DOI 10.54499/UIDB/50006/2020) through national funds.

Data Availability Statement

The data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. European Commision. Stepping Up Europe’s 2030 Climate Ambition. Investing in a Climate-Neutral Future for the Benefit of Our People; European Commision: Brussels, Belgium, 2020. [Google Scholar]
  2. Ebner, A.D.; Ritter, J.A. State-of-the-art Adsorption and Membrane Separation Processes for Carbon Dioxide Production from Carbon Dioxide Emitting Industries. Sep. Sci. Technol. 2009, 44, 1273–1421. [Google Scholar] [CrossRef]
  3. Joss, L.; Gazzani, M.; Mazzotti, M. Rational design of temperature swing adsorption cycles for post-combustion CO2 capture. Chem. Eng. Sci. 2017, 158, 381–394. [Google Scholar] [CrossRef]
  4. Ribeiro, R.P.P.L.; Grande, C.A.; Rodrigues, A.E. Activated Carbon Honeycomb Monolith—Zeolite 13X Hybrid System to Capture CO2 from Flue Gases employing Electric Swing Adsorption. Chem. Eng. Sci. 2013, 104, 304–318. [Google Scholar] [CrossRef]
  5. Santos, M.P.S.; Grande, C.A.; Rodrigues, A.E. Pressure Swing Adsorption for Biogas Upgrading. Effect of Recycling Streams in Pressure Swing Adsorption Design. Ind. Eng. Chem. Res. 2011, 50, 974–985. [Google Scholar] [CrossRef]
  6. Grande, C.A. Biogas Upgrading by Pressure Swing Adsorption. In Biofuel’s Engineering Process Technology; McGraw-Hill: New York, NY, USA, 2011. [Google Scholar] [CrossRef]
  7. Ribeiro, R.P.; Sauer, T.P.; Lopes, F.V.; Moreira, R.F.; Grande, C.A.; Rodrigues, A.E. Adsorption of CO2, CH4, and N2 in Activated Carbon Honeycomb Monolith. J. Chem. Eng. Data 2008, 53, 2311–2317. [Google Scholar] [CrossRef]
  8. Plaza, M.G.; González, A.S.; Pevida, C.; Rubiera, F. Green Coffee Based CO2 Adsorbent with High Performance in Postcombustion Conditions. Fuel 2015, 140, 633–648. [Google Scholar] [CrossRef]
  9. Surra, E.; Ribeiro, R.P.P.L.; Santos, T.; Bernardo, M.; Mota, J.P.B.; Lapa, N.; Esteves, I.A.A.C. Evaluation of activated carbons produced from Maize Cob Waste for adsorption-based CO2 separation and biogas upgrading. J. Environ. Chem. Eng. 2022, 10, 107065. [Google Scholar] [CrossRef]
  10. Xiao, P.; Zhang, J.; Webley, P.; Li, G.; Singh, R.; Todd, R. Capture of CO2 from flue gas streams with zeolite 13X by vacuum-pressure swing adsorption. Adsorption 2008, 14, 575–582. [Google Scholar] [CrossRef]
  11. Merel, J.; Clausse, M.; Meunier, F. Experimental Investigation on CO2 Post-Combustion Capture by Indirect Thermal Swing Adsorption using 13X and 5A Zeolites. Ind. Eng. Chem. Res. 2008, 47, 209–215. [Google Scholar] [CrossRef]
  12. Zelenak, V.; Halamova, D.; Gaberova, L.; Bloch, E.; Llewellyn, P. Amine-Modified SBA-12 Mesoporous Silica for Carbon Dioxide Capture: Effect of Amine Basicity on Sorption Properties. Microporous Mesoporous Mater. 2008, 116, 358–364. [Google Scholar] [CrossRef]
  13. Heydari-Gorji, A.; Belmabkhout, Y.; Sayari, A. Polyethylenimine-Impregnated Mesoporous Silica: Effect of Amine Loading and Surface Alkyl Chains on CO2 Adsorption. Langmuir 2011, 27, 12411–12416. [Google Scholar] [CrossRef] [PubMed]
  14. Camacho, B.C.R.; Ribeiro, R.P.P.L.; Esteves, I.A.A.C.; Mota, J.P.B. Adsorption Equilibrium of Carbon Dioxide and Nitrogen on the MIL-53(Al) Metal Organic Framework. Sep. Purif. Technol. 2015, 141, 150–159. [Google Scholar] [CrossRef]
  15. Joss, L.; Hefti, M.; Bjelobrk, Z.; Mazzotti, M. On the Potential of Phase-change Adsorbents for CO2 Capture by Temperature Swing Adsorption. Energy Procedia 2017, 114, 2271–2278. [Google Scholar] [CrossRef]
  16. Hu, Z.; Wang, Y.; Shah, B.B.; Zhao, D. CO2 Capture in Metal–Organic Framework Adsorbents: An Engineering Perspective. Adv. Sustain. Syst. 2019, 3, 1800080. [Google Scholar] [CrossRef]
  17. Ribeiro, R.P.P.L.; Mota, J.P.B. Surface Area and Porosity of Co3(ndc)3(dabco) Metal–Organic Framework and Its Methane Storage Capacity: A Combined Experimental and Simulation Study. J. Phys. Chem. C 2021, 125, 2411–2423. [Google Scholar] [CrossRef]
  18. Ribeiro, R.P.P.L.; Esteves, I.A.A.C.; Mota, J.P.B. Adsorption of Carbon Dioxide, Methane, and Nitrogen on Zn(dcpa) Metal-Organic Framework. Energies 2021, 14, 5598. [Google Scholar] [CrossRef]
  19. Rowsell, J.L.C.; Yaghi, O.M. Metal–Organic Frameworks: A New Class of Porous Materials. Microporous Mesoporous Mater. 2004, 73, 3–14. [Google Scholar] [CrossRef]
  20. Ferey, G. Hybrid Porous Solids: Past, Present, Future. Chem. Soc. Rev. 2008, 37, 191–214. [Google Scholar] [CrossRef]
  21. Furukawa, H.; Cordova, K.E.; O’Keeffe, M.; Yaghi, O.M. The Chemistry and Applications of Metal-Organic Frameworks. Science 2013, 341, 1230444. [Google Scholar] [CrossRef]
  22. Czaja, A.U.; Trukhan, N.; Muller, U. Industrial Applications of Metal-Organic Frameworks. Chem. Soc. Rev. 2009, 38, 1284–1293. [Google Scholar] [CrossRef]
  23. Ribeiro, R.P.P.L.; Antunes, C.L.; Garate, A.U.; Portela, A.F.; Plaza, M.G.; Mota, J.P.B.; Esteves, I.A.A.C. Binderless shaped metal-organic framework particles: Impact on carbon dioxide adsorption. Microporous Mesoporous Mater. 2019, 275, 111–121. [Google Scholar] [CrossRef]
  24. Pons Picart, J.; Sanchez, F.J.; Casabó, J.; Rius, J.; Alvarez-Larena, A.; Ros, J. Synthesis and structural characterisation of a new cobalt(II) pentanuclear complex with a tetranucleating pyrazole-derived ligand. Inorg. Chem. Commun. 2002, 5, 130–133. [Google Scholar] [CrossRef]
  25. Chadghan, A.; Pons, J.; Caubet, A.; Casabó, J.; Ros, J.; Alvarez-Larena, A.; Francesc Piniella, J. Cobalt(II) complexes with pyrazole-derived ligands: Crystal structure of {bis[3-phenyl-5-(2-pyridyl) pyrazole]aquachlorocobalt(II)}chloride monohydrate. Polyhedron 2000, 19, 855–862. [Google Scholar] [CrossRef]
  26. Soldevila-Sanmartín, J.; Calvet, T.; Font-Bardia, M.; Choquesillo-Lazarte, D.; Pons, J. Variable behaviour of a flexible bispyrazole ligand: A Co(II) polymer and a unique Cu(II) penta-coordinated dimer. J. Mol. Struct. 2023, 1284, 135419. [Google Scholar] [CrossRef]
  27. Chun, H.; Jung, H.; Koo, G.; Jeong, H.; Kim, D.K. Efficient hydrogen sorption in 8-connected MOFs based on trinuclear pinwheel motifs. Inorg. Chem. 2008, 47, 5355–5359. [Google Scholar] [CrossRef]
  28. Ribeiro, R.P.P.L.; Barreto, J.; Grosso Xavier, M.D.; Martins, D.; Esteves, I.A.A.C.; Branco, M.; Tirolien, T.; Mota, J.P.B.; Bonfait, G. Cryogenic neon adsorption on Co3(ndc)3(dabco) metal-organic framework. Microporous Mesoporous Mater. 2020, 298, 110055. [Google Scholar] [CrossRef]
  29. Thommes, M.; Kaneko, K.; Neimark Alexander, V.; Olivier James, P.; Rodriguez-Reinoso, F.; Rouquerol, J.; Sing Kenneth, S.W. Physisorption of gases, with special reference to the evaluation of surface area and pore size distribution (IUPAC Technical Report). Pure Appl. Chem. 2015, 87, 1051. [Google Scholar] [CrossRef]
  30. Nabais, A.R.; Ribeiro, R.P.P.L.; Mota, J.P.B.; Alves, V.D.; Esteves, I.A.A.C.; Neves, L.A. CO2/N2 gas separation using Fe(BTC)-based mixed matrix membranes: A view on the adsorptive and filler properties of metal-organic frameworks. Sep. Purif. Technol. 2018, 202, 174–184. [Google Scholar] [CrossRef]
  31. Poling, B.E.; Prausnitz, J.M.; O’Connell, J.P. The Properties of Gases and Liquids; McGraw-Hill: New York, NY, USA, 2001. [Google Scholar]
  32. Ribeiro, R.P.P.L.; Camacho, B.C.R.; Lyubchyk, A.; Esteves, I.A.A.C.; Cruz, F.J.A.L.; Mota, J.P.B. Experimental and Computational Study of Ethane and Ethylene Adsorption in the MIL-53(Al) Metal Organic Framework. Microporous Mesoporous Mater. 2016, 230, 154–165. [Google Scholar] [CrossRef]
  33. Gumma, S.; Talu, O. Net Adsorption: A Thermodynamic Framework for Supercritical Gas Adsorption and Storage in Porous Solids. Langmuir 2010, 26, 17013–17023. [Google Scholar] [CrossRef]
  34. Brandani, S.; Mangano, E.; Sarkisov, L. Net, Excess and Absolute Adsorption and Adsorption of Helium. Adsorption 2016, 22, 261–276. [Google Scholar] [CrossRef] [PubMed]
  35. Myers, A.L. Adsorption of Gas Mixtures—A Thermodynamic Approach. Ind. Eng. Chem. 1968, 60, 45–49. [Google Scholar] [CrossRef]
  36. Myers, A.L.; Prausnitz, J.M. Thermodynamics of Mixed-Gas Adsorption. AIChE J. 1965, 11, 121–127. [Google Scholar] [CrossRef]
Figure 1. View of the unit cell of Co3(ndc)3(dabco) along the three crystallographic axes, a, b, and c, respectively (Co: blue, O: red, C: grey, H: white, and N: light blue). Reprinted from [28], with permission from Elsevier.
Figure 1. View of the unit cell of Co3(ndc)3(dabco) along the three crystallographic axes, a, b, and c, respectively (Co: blue, O: red, C: grey, H: white, and N: light blue). Reprinted from [28], with permission from Elsevier.
Ijms 25 09951 g001
Figure 2. Representation of ligands (a) dabco: 1,4-diazabicyclo[2.2.2]octane and (b) ndc: 2,6-naphthalenedicarboxylate (O: red, C: grey, H: white, and N: light blue).
Figure 2. Representation of ligands (a) dabco: 1,4-diazabicyclo[2.2.2]octane and (b) ndc: 2,6-naphthalenedicarboxylate (O: red, C: grey, H: white, and N: light blue).
Ijms 25 09951 g002
Figure 3. Adsorption equilibrium isotherms of (a) CO2 and (b) N2 on the Co3(ndc)3(dabco) MOF at 303 K, reported in terms of net ( q net ) and absolute ( q ) amounts adsorbed. The filled and empty symbols denote the adsorption and desorption data, respectively.
Figure 3. Adsorption equilibrium isotherms of (a) CO2 and (b) N2 on the Co3(ndc)3(dabco) MOF at 303 K, reported in terms of net ( q net ) and absolute ( q ) amounts adsorbed. The filled and empty symbols denote the adsorption and desorption data, respectively.
Ijms 25 09951 g003
Figure 4. Adsorption equilibrium isotherms of CO2 (a) and N2 (b) on Co3(ndc)3(dabco) MOF at 273 K (♦), 303 K (■), and 323 K (▲). The filled and empty symbols denote the adsorption and desorption data, respectively. The solid lines represent the Langmuir model fitting.
Figure 4. Adsorption equilibrium isotherms of CO2 (a) and N2 (b) on Co3(ndc)3(dabco) MOF at 273 K (♦), 303 K (■), and 323 K (▲). The filled and empty symbols denote the adsorption and desorption data, respectively. The solid lines represent the Langmuir model fitting.
Ijms 25 09951 g004
Figure 5. Contour plots of the CO2 working capacity as a function of desorption temperature, TH, and CO2 partial pressure in the feed stream (PCO2,feed). The adsorption temperature is 303 K (c.a. ambient temperature) and the desorption pressure is 0.15 bar (CO2 partial pressure under atmospheric pressure).
Figure 5. Contour plots of the CO2 working capacity as a function of desorption temperature, TH, and CO2 partial pressure in the feed stream (PCO2,feed). The adsorption temperature is 303 K (c.a. ambient temperature) and the desorption pressure is 0.15 bar (CO2 partial pressure under atmospheric pressure).
Ijms 25 09951 g005
Figure 6. CO2 adsorption equilibrium isotherm at 303 K on CO3(ndc)3(dabco), ZIF-8 [23], MIL-53 [14], Zn(dcpa) [18], and Fe-BTC [30].
Figure 6. CO2 adsorption equilibrium isotherm at 303 K on CO3(ndc)3(dabco), ZIF-8 [23], MIL-53 [14], Zn(dcpa) [18], and Fe-BTC [30].
Ijms 25 09951 g006
Figure 7. Competitive adsorption equilibrium isotherms for a 15%/85% CO2/N2 mixture and equilibrium selectivity at 303 K. solid lines: IAST model; dashed lines: multicomponent Langmuir model.
Figure 7. Competitive adsorption equilibrium isotherms for a 15%/85% CO2/N2 mixture and equilibrium selectivity at 303 K. solid lines: IAST model; dashed lines: multicomponent Langmuir model.
Ijms 25 09951 g007
Figure 8. Isosteric heat of adsorption, Qst, as a function of the CO2 and N2 loadings. The symbols represent the Qst values calculated from the isosteric plot of the experimental adsorption equilibrium data. The dashed lines represent the Qst values obtained from the fitting with the Langmuir model.
Figure 8. Isosteric heat of adsorption, Qst, as a function of the CO2 and N2 loadings. The symbols represent the Qst values calculated from the isosteric plot of the experimental adsorption equilibrium data. The dashed lines represent the Qst values obtained from the fitting with the Langmuir model.
Ijms 25 09951 g008
Table 1. Experimental CO2 adsorption equilibrium data at 273 K, 303 K, and 323 K. The reference state corrections for absolute amount adsorbed ( q ) are v p = 0.77   cm 3 /g and v s = 0.58   cm 3 / g , where v p is the specific pore volume of the adsorbent, and v s is the specific volume of its solid matrix.
Table 1. Experimental CO2 adsorption equilibrium data at 273 K, 303 K, and 323 K. The reference state corrections for absolute amount adsorbed ( q ) are v p = 0.77   cm 3 /g and v s = 0.58   cm 3 / g , where v p is the specific pore volume of the adsorbent, and v s is the specific volume of its solid matrix.
T = 273 KT = 303 KT = 323 K
P
(bar)
q net
(mol/kg)
q
(mol/kg)
P
(bar)
q net
(mol/kg)
q
(mol/kg)
P
(bar)
q net
(mol/kg)
q
(mol/kg)
0.040.130.130.060.110.110.070.080.09
0.150.610.620.130.230.240.230.260.27
0.381.741.760.270.490.500.490.550.58
0.914.434.480.500.910.930.981.091.14
1.927.517.630.931.691.741.972.042.14
3.169.419.601.953.313.424.214.154.36
4.7310.4710.763.865.916.128.526.476.91
6.6611.1411.556.317.698.0414.667.908.68
8.8711.6112.189.368.799.3224.798.6510.04
12.2611.9812.7815.209.7410.6233.378.7910.74
15.7312.1413.2024.4610.2311.7328.488.7610.37
17.5012.1913.3832.4610.0612.1619.228.389.43
19.7512.1913.5727.8110.2111.9511.047.247.82
22.0312.1713.7519.9710.1311.326.025.375.68
22.8012.1513.7911.949.4410.123.023.103.25
22.9912.1413.807.758.418.841.481.531.60
23.4912.1013.805.137.087.360.700.830.86
23.8912.0813.832.934.915.070.310.390.41
23.9912.1113.861.492.582.660.120.180.19
25.1112.0613.920.741.421.46
26.3412.0013.980.180.380.39
26.7811.9914.01
27.7111.9214.05
29.6211.7914.12
26.5412.0014.00
24.4612.1113.90
22.9712.1613.82
21.0212.2013.69
19.5712.2113.57
19.4812.1913.55
17.5612.2113.41
15.9312.1913.26
14.3412.1113.06
12.4612.0212.83
11.3911.9412.68
11.0111.9012.61
9.7311.7612.38
8.4111.5412.06
8.0411.4912.00
7.0311.2611.70
5.9210.9711.34
4.5410.3810.66
3.419.649.85
2.518.638.78
1.586.566.66
1.315.635.71
0.613.013.04
Table 2. Experimental N2 adsorption equilibrium data at 273 K, 303 K, and 323 K. The reference state corrections for absolute amount adsorbed ( q ) are v p = 0.77   cm 3 /g and v s = 0.58   cm 3 / g , where v p is the specific pore volume of the adsorbent, and v s is the specific volume of its solid matrix.
Table 2. Experimental N2 adsorption equilibrium data at 273 K, 303 K, and 323 K. The reference state corrections for absolute amount adsorbed ( q ) are v p = 0.77   cm 3 /g and v s = 0.58   cm 3 / g , where v p is the specific pore volume of the adsorbent, and v s is the specific volume of its solid matrix.
T = 273 KT = 303 KT = 323 K
P
(bar)
q net
(mol/kg)
q
(mol/kg)
P
(bar)
q net
(mol/kg)
q
(mol/kg)
P
(bar)
q net
(mol/kg)
q
(mol/kg)
0.250.080.090.010.0030.0030.010.0040.004
0.810.240.290.500.090.1100.510.0700.090
2.210.600.741.810.290.3901.580.1900.270
5.211.261.573.660.570.7703.740.4500.640
9.182.032.586.050.901.2206.010.6900.990
12.812.543.309.681.311.8309.671.0201.500
17.933.064.1413.801.702.44013.091.2801.940
24.453.494.9618.492.033.03018.031.5802.480
30.133.745.5524.102.333.62022.521.8002.930
20.953.294.5529.962.544.15032.462.1403.770
14.282.713.5727.282.463.92027.221.9803.340
11.082.312.9821.462.213.36020.181.6902.700
6.991.672.0914.871.782.58014.321.3502.070
3.700.981.2010.891.442.0206.540.7401.070
1.540.420.527.321.071.4602.360.3100.430
0.510.160.195.000.771.0400.810.1400.180
2.800.460.6100.260.0600.070
0.680.130.160
Table 3. Langmuir adsorption isotherm model fitting parameters for CO2 and N2 on Co3(ndc)3(dabco).
Table 3. Langmuir adsorption isotherm model fitting parameters for CO2 and N2 on Co3(ndc)3(dabco).
CO2N2
q s (mol/kg)14.911.0
b 0 (bar−1)8.47 × 10−61.09 × 10−4
Q (kJ/mol)25.0011.78
ARE (%)7.35.6
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ribeiro, R.P.P.L.; Mota, J.P.B. Adsorption of Carbon Dioxide and Nitrogen in Co3(ndc)3(dabco) Metal–Organic Framework. Int. J. Mol. Sci. 2024, 25, 9951. https://doi.org/10.3390/ijms25189951

AMA Style

Ribeiro RPPL, Mota JPB. Adsorption of Carbon Dioxide and Nitrogen in Co3(ndc)3(dabco) Metal–Organic Framework. International Journal of Molecular Sciences. 2024; 25(18):9951. https://doi.org/10.3390/ijms25189951

Chicago/Turabian Style

Ribeiro, Rui Pedro Pinto Lopes, and José Paulo Barbosa Mota. 2024. "Adsorption of Carbon Dioxide and Nitrogen in Co3(ndc)3(dabco) Metal–Organic Framework" International Journal of Molecular Sciences 25, no. 18: 9951. https://doi.org/10.3390/ijms25189951

APA Style

Ribeiro, R. P. P. L., & Mota, J. P. B. (2024). Adsorption of Carbon Dioxide and Nitrogen in Co3(ndc)3(dabco) Metal–Organic Framework. International Journal of Molecular Sciences, 25(18), 9951. https://doi.org/10.3390/ijms25189951

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop