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Article

Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors

1
Chemistry Department, Moscow State University, 119991 Moscow, Russia
2
EMAT, University of Antwerp, B-2020 Antwerp, Belgium
3
LISM, Moscow State Technological University Stankin, 127055 Moscow, Russia
*
Authors to whom correspondence should be addressed.
Nanomaterials 2018, 8(11), 917; https://doi.org/10.3390/nano8110917
Submission received: 17 October 2018 / Revised: 31 October 2018 / Accepted: 3 November 2018 / Published: 7 November 2018
(This article belongs to the Special Issue Development of Semiconductor Nanomaterials for Gas Sensors)

Abstract

:
To obtain a nanocrystalline SnO2 matrix and mono- and bimetallic nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd, a flame spray pyrolysis with subsequent impregnation was used. The materials were characterized using X-ray diffraction (XRD), a single-point BET method, transmission electron microscopy (TEM), and high angle annular dark field scanning transmission electron microscopy (HAADF-STEM) with energy dispersive X-ray (EDX) mapping. The electronic state of the metals in mono- and bimetallic clusters was determined using X-ray photoelectron spectroscopy (XPS). The active surface sites were investigated using the Fourier Transform infrared spectroscopy (FTIR) and thermo-programmed reduction with hydrogen (TPR-H2) methods. The sensor response of blank SnO2 and nanocomposites had a carbon monoxide (CO) level of 6.7 ppm and was determined in the temperature range 60–300 °C in dry (Relative Humidity (RH) = 0%) and humid (RH = 20%) air. The sensor properties of the mono- and bimetallic nanocomposites were analyzed on the basis of information on the electronic state, the distribution of modifiers in SnO2 matrix, and active surface centers. For SnO2/PtPd, the combined effect of the modifiers on the electrophysical properties of SnO2 explained the inversion of sensor response from n- to p-types observed in dry conditions.

1. Introduction

Because SnO2 is a wide-bandgap oxygen-deficient n-type semiconductor with optical transparency, electron conductivity, and a high specific surface area, it is suitable for a large range of applications, including in solar cells, as catalytic support, and as solid state gas sensors [1]. However, the use of bare SnO2 is often limited by lack of selectivity and a high operating temperature [2]. Chemical modification is a well-established practice intended to solve those problems [2,3,4,5]. This involves the creation of new active sites, with specific adsorptivity and reactivity toward target gases (i.e., carbon monoxide), on the surface of a semiconductor matrix.
Carbon monoxide (CO) is a colorless, odorless, and tasteless toxic gas, produced by automotive emissions, natural gas manufacturing, industrial activities, and the incomplete burning of fuels [6]. In the human body, it reacts readily with hemoglobin to form carboxyhemoglobin. Carbon monoxide exposure is still one of the leading causes of unintentional and suicidal poisonings, and it causes a large number of deaths annually. [7] Thus, real-time monitoring of CO is extremely important for safety reasons.
Carbon monoxide is a reducing gas without pronounced acid or basic properties [3]. To enhance the sensor signal of a SnO2 based sensor toward such gases, the catalytically active additives metallic platinum, gold, and silver are the most effective [6,8]. These modifiers take part in the oxidation of CO on the surface of the semiconductor oxide and lead to a change in the type and concentration of active groups on that surface [5]. This not only leads to an increased sensor response, but also to a decrease in temperature, at which a maximum sensitivity is observed [2,3,4,5]. The selectivity of heterogeneous catalysts of oxidative processes is determined by the energy of adsorption of the reducing gas, the binding energy with surface oxygen (which is an oxidizer) and binding energies with intermediates and reaction products. In CO oxidation, the optimal catalysts are palladium (Pd) and platinum (Pt), since the energy of chemisorption of oxygen on the clusters of these metals (340–360 kJ/mol) is close to the binding energy of CO with their surface [9,10]. Palladium and platinum are some of the most effective modifiers for improving the sensor properties of semiconductor metal oxides in CO detection [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27].
The properties of bimetallic catalysts are now being actively investigated due to the expected synergistic effect—i.e., that the activity of the bimetallic catalyst exceeds the sum of the activities of its monometallic analogues [28,29,30,31,32,33,34,35,36,37,38,39,40]. In gas sensors, it is thought that the surface modification of semiconductor oxides with bimetallic catalysts should create optimal conditions for both electron and ion exchange (spillover effect) between the surface nanoclusters and the metal oxide support [41]. As bimetallic catalytically active modifiers for gas sensors, nanoparticles that contain platinum group metals in various combinations are usually studied, as well as Au and d-elements such as Fe, Co, Ni, and Cu [42,43,44,45,46,47,48,49,50,51,52]. Despite the fact that numerous monometallic systems have already been studied, including SnO2/Pt and SnO2/Pd, only a few reports on CO sensing properties of bimetallic SnO2/PtPd nanocomposite are known [44,52].
The procedure of conventional and widespread wet-chemical synthesis of nanocrystalline SnO2 is well-known and relatively simple [53]. However, this method is rather time-consuming, as the hydrated SnO2 needs to be repeatedly washed. Flame spray pyrolysis (FSP) is an alternative method for producing metal oxides for catalysts and semiconductor gas sensors [54,55,56]. The advantage of the FSP method is the ability to produce highly dispersed materials with nanometer-sized crystallites that have high crystallinity and porosity. The use of precursors of the main components and modifiers during the one-stage synthesis allows for the obtainment of a modified material with the necessary set of functional properties regarding the specific surface area, electrical conductivity, acid-base, and oxidation-reduction ability in interaction with gases [17,57,58,59,60,61,62,63,64].
In this study, the nanocrystalline SnO2 matrix was synthesized using FSP. Mono- and bimetallic nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd were then obtained via impregnation. The sample characteristics are presented in Table 1. The gas sensing properties of the bimetallic nanocomposite SnO2/PtPd were compared to those of the monometallic nanocomposites SnO2/Pt and SnO2/Pd and analyzed on the basis of information on the Pt and Pd electronic state, the distribution of modifiers in the SnO2 matrix, and the type and concentration of active centers on the surface of the nanocomposites.

2. Results and Discussion

Figure 1 shows the change in the resistance of the samples in the temperature range 60–300 °C under periodic change of the gas phase composition: air (15 min), 6.7 ppm CO in air (15 min). The measurements were effectuated in dry air (Relative Humidity (RH) = 0%, Figure 1a) and humid air (RH = 20%, Figure 1b). The decrease in the electrical resistance in the presence of CO (n-type response) was due to the oxidation of carbon monoxide by chemisorbed oxygen:
β CO ( g a s ) + O β ( a d s ) α β CO 2 ( g a s ) + α e
where CO ( g a s ) represents the carbon monoxide molecule in the gas phase, O β ( a d s ) α is chemisorbed oxygen, CO 2 ( g a s ) is the reaction product desorbed to the gas phase, and e is an electron injected into the conduction band of the n-type semiconductor. The sensor signal for n-type response was calculated for each temperature as S = Δ G G a i r = G g a s G a i r G a i r , where Gair is the sample’s conductance in air and Ggas is the sample’s conductance in the presence of 6.7 ppm CO in air (Figure 2). For SnO2/PtPd nanocomposite the increase in the electrical resistance in the presence of CO (p-type response) was observed in the temperature range 150–300 °C at RH = 0% (Figure 1c). In these cases, the sensor signal was calculated as S = Δ R R a i r = R g a s R a i r R a i r , where Rair is the sample’s resistance in air and Rgas is the sample’s resistance in the presence of 6.7 ppm CO in air.
The data presented in Figure 1 and Figure 2, revealed the following trends.
(i)
Comparison of the resistance values show that the introduction of modifiers caused an increase in the resistance of tin dioxide. This effect was most pronounced for nanocomposites containing platinum.
(ii)
For the non-modified SnO2, the value of the n-type sensor response toward CO increased with increasing measurement temperature and reached a maximum at 270–300 °C. The increase in humidity almost completely suppressed the sensor response of SnO2 sample.
(iii)
For the SnO2/Pd nanocomposite, only the n-type response was observed. Two maxima can be distinguished on the temperature dependence of the sensor signal: one in the temperature range 240–270 °C and one in the range 60–90 °C. The sensor signal values at 240–270 °C decreased slightly with increasing air humidity from RH = 0% to RH = 20%. In the low-temperature interval, an increase in humidity led to a significant decrease in the sensor signal.
(iv)
The SnO2/Pt nanocomposite exhibited a low sensor response. However, in the low-temperature range, its response to CO in dry air exceeded the analogous value for unmodified SnO2, while in the high-temperature region its sensor signal turns out to be lower than for SnO2. The inversion of the sensor response from the n-type to the p-type is observed only when measured in dry air at T = 240 °C.
(v)
When performing the measurements in dry air, the inversion of the sensor response was characteristic for bimetallic nanocomposite SnO2/PtPd over a wide temperature range. The maximum of the p-type response was observed at 210–240 °C. The increase in air humidity led to the disappearance of the inversion of the response. The observed n-type response in the whole temperature range was lower than for palladium containing monometallic nanocomposite SnO2/Pd.
To determine the factors responsible for the formation of the sensor response of mono- and bimetallic nanocomposites, the phase composition, the electronic state of platinum and palladium, and their distribution in the SnO2 matrix were investigated. The effect of the presence of various modifiers on the surface composition of nanocrystalline SnO2 was studied in detail.
The X-ray diffraction (XRD) pattern of SnO2 corresponds to the cassiterite phase (ICDD 41-1445, Figure 3). The introduction of catalytic modifiers did not led to a change in the phase composition of the samples. The reflections corresponding to Pt- or Pd-containing phases do not appear on the diffractograms of the nanocomposites.
According to the high angle annular dark field scanning transmission electron microscopy (HAADF-STEM) images, all the materials were composed of agglomerated crystalline SnO2 nanoparticles, with sizes varying from approximately 5–35 nm, with an average size of 10.7 ± 4.9 nm (Figure 4). The introduction of modifiers does not affect the particle size of SnO2. In SnO2/Pd nanocomposite (Figure 5) several Pd particles with a size 8–20 nm were found among the SnO2 matrix particles (Figure 5b). Also small Pd particles with a size of 2 nm could be seen on the images and energy dispersive X-ray (EDX) maps (Figure 5b).
In the SnO2/Pt nanocomposite, the Pt particles were very easy to see on the HAADF-STEM images (Figure 6a) because they are large and bright. Their size varied in the range of 25–100 nm and the average size was 49.1 ± 19.5 nm (Figure 6c).
The nanocomposite SnO2/PtPd contained bimetallic nanoparticles particles, which were present in a form of agglomerates with the size 17–64 nm (Figure 7). According to the EDX maps, the particles contained both metals (Figure 7b), however their ratio varied from particle to particle and was independent from the particle size (Figure 7c). The distribution of Pt and Pd inside the particle was not uniform. Besides the PtPd particles, small Pd particles with a size about 2 nm could be seen on the maps (Figure 7b).
The Pd3d and Pt4f X-ray photoelectron spectroscopy (XPS) signals of the nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd could be fitted by only one doublet component (Figure 8a,b). Table 2 presents the Pd 3d5/2 and Pt 4f7/2 XPS spectral assignments. When comparing the estimated Pd 3d5/2 binding energies with reference data [65], we concluded that in SnO2/Pd nanocomposite, palladium was present in the +2 oxidation state corresponding to the PdO. The Pd3d XP spectrum of the nanocomposite SnO2/PtPd was shifted toward lower energies (Figure 8a), indicating a partial reduction of Pd. However, it was not possible to decompose the spectrum into two components that corresponded to different palladium oxidation states (0, +2). The Pt4f XP spectra of both SnO2/Pt and SnO2/PtPd nanocomposites corresponded to the Pt + 2 oxidation state in PtO [66]. When taking into account how the depth of the XPS analysis was determined by the mean free path of electrons with respect to inelastic collisions, and is 0.5–2.5 nm for metals and 4–10 nm for organic substances, it was impossible to exclude the presence of Pd0 and especially, Pt0 inside the particles (under the oxide layer).
The O1s XP spectra consisted of two components (Figure 8c) corresponding to the oxygen anions in the SnO2 lattice (530.7–530.9 eV) and to different forms of chemisorbed oxygen and hydroxyl groups on the SnO2 surface (531.8–532.0 eV). The impact of the higher energy component is 23–27% and did not depend significantly on the type of modifier.
The infra red (IR) spectra of blank SnO2 samples and nanocomposites are compared in Figure 9a. The intense absorption band at 400–800 cm−1 corresponded to the oscillations of Sn-O-Sn bridges (670 cm−1), Sn-OH terminal bonds (590 cm−1), and surface (540 cm−1) and bulk (480–460 cm−1) phonon vibrations of SnO2 [67]. The other absorption bands in the spectrum, apparently, were due to adsorbates. For a clear comparison of their concentration, the baselines were subtracted from the spectra, and the transmission in the whole range was normalized to the peak of the lattice vibrations at 670 cm−1. The broad absorption band at 3300–3650 cm−1, apparently referred to the stretching vibrations of O-H adsorbed water derivatives [68]. The modification of tin dioxide with palladium led to a significant increase in the concentration of surface hydroxyl groups, as evidenced by the increase in absorption in the range of 3300–3650 cm−1. On the contrary, the introduction of platinum did not have any effect on the concentration of hydroxyl groups on the SnO2 surface. For the SnO2/PtPd nanocomposite, a nonadditive increase in the concentration of OH groups was observed in comparison with SnO2/Pt and SnO2/Pd nanocomposites.
The results of the TPR-H2 experiments are shown in Figure 9b and in Table 3. The high-temperature (350–850 °C) peak corresponded to the hydrogen consumption because of SnO2 reduction to metallic tin:
SnO 2 + 2 H 2 = Sn + 2 H 2 O
For nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd, a shift was observed from the high-temperature maximum of hydrogen consumption to the lower temperature region. This may be due to the catalytic activity of noble metal clusters in the matrix of nanocrystalline tin dioxide. The most probable mechanism was the hydrogen and oxygen joint spillover [69] of the SnO2 crystal lattice through the clusters of modifiers. The reduction of SnO2 at a lower temperature became possible due to the dissociation of hydrogen molecules on noble metal clusters. Examples illustrating such a mechanism of interaction with the gas phase for different “noble metal/metal oxide” systems were provided in the review [69]. By the oxygen isotopic exchange method [70], it was established that the modification of nanocrystalline tin dioxide with palladium and ruthenium resulted in the realization of a multistage heteroexchange mechanism, involving the dissociation of the O2 molecule on the surface of the clusters of platinum-group metals, spillover of atomic oxygen from the clusters of modifiers to the SnO2 surface, and its rapid exchange with the oxygen of the crystal lattice of tin dioxide. According to the analysis of the oxygen isotopic exchange data presented in the review [71], platinum was more active in this process than palladium, explaining the more significant decrease in the temperature of the complete reduction of the SnO2/Pt and SnO2/PtPd nanocomposites compared to SnO2/Pd.
The processes responsible for the H2 consumption in low temperature region 100–300 °C can be expressed as follows
O 2 ( a d s ) + 2 H 2 = 2 H 2 O + e
O ( a d s ) + H 2 = H 2 O + e
OH ( a d s ) + 1 2 H 2 = H 2 O
The amount of oxygen adsorbed on the surface of SnO2, estimated from TPR data under the assumption of interaction (3) is ~10−4 mol/m2. Assuming an orientation along the normal to the surface and a radius as in the O (1.76 Å) ion, the coverage of SnO2 surface with hypothetical O 2 ( a d s ) ions can be estimated at 0.5–1 monolayer. This is 2–3 orders of magnitude greater than the Weisz limitation for coverage of a semiconductor with charged adsorbates (10−2–10−3 monolayer [72]), indicating that the real composition of oxidative adsorbates on the surface of materials was much more diverse than this assumption.
Modification of the SnO2 surface with mono- and bimetallic clusters led to a decrease in the amount of hydrogen consumed in the low-temperature range. This indirectly indicated an increase in the fraction of the monatomic form of chemisorbed oxygen. Indeed, when comparing the reactions (3) and (4) surfaces with the same negative charge, predetermined by the Weitz limitation, it can be concluded that in the latter case, a smaller hydrogen consumption should be observed. In the case of nanocomposites containing palladium, the decrease in hydrogen absorption may be due to an increase in the concentration of hydroxyl groups detected by the IR spectroscopy and consequently, an increase in the contribution of the process (5).
The obtained information on the structure and surface composition of SnO2 and nanocomposites SnO2/Pd, SnO2/Pt, and SnO2/PtPd allowed us to explain the differences in their sensor properties to CO in dry (RH = 0%) and humid (RH = 20%) air.
SnO2/Pd nanocomposite
For the SnO2/Pd nanocomposite, the observed sensor response to CO in dry air was not unexpected and can be described within the framework of the concepts of electronic and chemical sensitization [2,5,11].
(i) Direct oxidation of CO gas molecules on the surface of PdOx clusters resulted in a partial reduction of the modifier, while the fraction of Pd0 increases:
PdO x + xCO ( g a s ) Pd + xCO 2 ( g a s ) .
This effect corresponded to the mechanism of electronic sensitization. The electron work function φ for reduced palladium surface was smaller than in the case of PdOx and is φ = 4.8 eV [73], which was close to the work function for SnO2 (φ = 4.9 eV, [74]). Thus, as a result of the reduction of PdOx clusters, a barrier was removed at the Pd/SnO2 interface, which led to a decrease in material resistance and the sensor response appearance.
(ii) Strong chemisorption of CO molecules on Pd0 was accompanied by a weakening of the intramolecular bond in CO and facilitated its break and further transformations of chemisorbed molecules:
Pd 0 + CO ( g a s ) Pd δ + CO δ .
(iii) Modification with PdOx clusters led to an increase in the SnO2 concentration of paramagnetic centers ·OH and rooted hydroxyl groups OH···OH that participated in the low temperature oxidation of chemisorbed CO molecules:
CO ( g a s ) + OH s u r f CO 2 ( g a s ) + H + + e .
The increase in humidity led to a decrease in the sensitivity of SnO2/Pd in the low temperature region due to competitive adsorption of water molecules and blocking of active sites on the surface of SnO2 and PdOx clusters [75].
SnO2/Pt nanocomposite
The low response of nanocomposites SnO2/Pt was caused by direct CO oxidation on PtOx clusters. Based on the results of complementary investigations by in situ and operando X-ray absorption spectroscopy and operando FT-IR spectroscopy, D. Degler et al. found that CO oxidation mainly occurs at the PtOx surface (Pt–O–Pt sites) [76]. This led to a decrease in the quantity of CO molecules that can react with the oxygen chemisorbed on SnO2 surface. The authors assumed that if platinum is introduced by impregnation after the calcination of the SnO2 matrix, it forms a separate oxide phase, which creates additional reaction sites not electronically coupled to the SnO2. In our investigation, this assumption could not be used since the introduction of PtOx clusters led to the important (~103 times) increase in SnO2 resistance in dry air (Figure 1a). The work function of metallic Pt was sufficiently high (φ = 5.65 eV [77]). Covering platinum with a full monolayer of oxygen led to the further increase in the work function by 1.19 eV (φ ~ 6.8 eV) [78]. When a contact was formed between PtOx nanoparticles and SnO2 (φ = 4.9 eV), the Fermi level of the semiconductor oxide was pinned to the Pt2+/Pt0 potential. This led to the formation of an electron depleted space charge region and to an increase in the SnO2 resistivity. As in the case of PdOx, it was possible that PtOx clusters reduced upon interaction with CO [79]. However, the work function of metallic Pt significantly exceeded the corresponding value for SnO2. As a result, the band-bending at the Pt/SnO2 interface persisted in the presence of CO, which led to a low sensor response of SnO2/Pt nanocomposite when CO was detected in dry air.
In humid air, the Pt–O–Pt sites were deactivated [76] because of strong water adsorption on PtOx clusters [75]. This should have led to a decrease in the amount of CO oxidized directly on the clusters of the modifier, and consequently, to an increase in the sensor response due to an increase in the amount of CO oxidized by oxygen chemisorbed on the SnO2 surface. However, in humid air, the surface of tin dioxide also became inactive due to the partial replacement of chemisorbed oxygen by hydroxyl groups according to the following reaction [80]
H 2 O ( g a s ) + 2 Sn Sn + O ( a d s ) α 2 ( Sn OH ) + α e
The combination of these factors suggests that CO oxidation can take place at the Pt–O–Sn sites at the three-phase boundary between PtOx and SnO2 [76], providing a very slight increase in sensor response as compared with detection in dry air.
SnO2/PtPd nanocomposite
A feature of the SnO2/PtPd nanocomposite was a two-level distribution of the modifiers over the surface of the semiconductor matrix: platinum only existed as a part of large (20–60 nm) bimetallic particles PtPdOx with a Pt content generally exceeding 50 mol%, while palladium was distributed between these large bimetallic particles PtPdOx and small (~2 nm) particles PdOx. As a result of this distribution of modifiers, the active sites on the surface of SnO2/PtPd were a combination of the centers characteristic for SnO2/Pt and SnO2/Pd. Thus, the temperature of SnO2 reduction in the SnO2/PtPd nanocomposite coincided with that of SnO2/Pt (Figure 9b), which was due to the presence of particles enriched in platinum. At the same time, an increase in the concentration of hydroxyl groups on the surface of SnO2/PtPd (Figure 9a) was determined by the presence of small PdOx particles.
However, when comparing the sensor response, such an additive picture was not observed. To explain the inversion of sensor response from n- to p-type observed in dry conditions, it was necessary to analyze the combined effect of the modifiers on the electrophysical properties of SnO2. Since metals Pt, Pd, and, to a greater extent, their oxides, are characterized by a higher work function than SnO2, in the contact areas SnO2-PtPdOx and SnO2-PdOx, an electron-depleted layer formed in SnO2. The depth of this layer was determined using the height of the energy barrier—i.e., the difference in the work function values of the contacting materials—and the lateral length along the surface was determined by the area of the contact between SnO2 and clusters of modifiers. In the SnO2/PtPd nanocomposite, bimetallic particles enriched in platinum form on the surface of the SnO2 agglomerates regions with a deep depleted layer, while small PdOx particles formed extended space charge regions of the surface of SnO2 grains. As a result, it can be expected that the concentration of electrons in SnO2 near the surface layer became so low that they ceased to be the main charge carriers. Such a change in the response type was reported for various oxides: from n- to p-type for MoO3 [81], In2O3 [82], SnO2(Fe) [83], ZnO [84], WO3 [85], WO3 nanorods [86], TiO2 nanofibers [87], and from p- to n-type conductivity for α-Fe2O3 [88]. The inversion of the sensor response was explained by a change in the type of main charge carriers in semiconductor oxide due to either the surface reactions under certain conditions, or because of the effect of impurities.
In dry air, in the high temperature region, the p-type response of the SnO2/PtPd nanocomposite had a similar temperature dependence as the n-type response of the SnO2/Pd nanocomposite. It indicated that under these conditions, the PdOx small nanoparticles determined the reactivity of SnO2/PtPd sample through reaction (6). The reduced amplitude of the p-type response of SnO2/PtPd nanocomposite compared with the n-type response of SnO2/Pd was because of the direct oxidation of part of the CO molecules on the surface of large bimetallic PtPdOx particles. This process did not alter the concentration of charge carriers in the SnO2 semiconductor matrix.
In humid air, the adsorption of water vapor on SnO2, in addition to blocking the active centers, led to an increase in the concentration of electrons and in the conductivity of SnO2 (reaction (9)). Comparison of the data presented in Figure 1a,b, clearly demonstrates that an increase in the air relative humidity (25 °C) from RH = 0% to RH = 20% reduced the resistance of all samples by about 10 times at each measurement temperature. Thus, in a humid atmosphere, electrons remained the main charge carriers in the SnO2/PtPd nanocomposite and no inversion of sensor response from n- to p-type was observed.

3. Materials and Methods

The synthesis of nanocrystalline SnO2 was carried out using flame spray pyrolysis (FSP). First, 20 mL of tin (II) 2-ethylhexanoate was dissolved in 60 mL of toluene; the resulting solution was divided into four equal parts, each of them then slowly injected into the FSP reactor. After the completion of each injection, the apparatus was dismantled, tin dioxide powder was collected, and a clean filter was installed. The obtained portions of the powder were combined and annealed in air at 400 °C for 24 h.
For the modification by impregnation method, the solutions of Pt (II) acetylacetonate and Pd (II) acetylacetonate in ethanol were used as metal precursors. The calculated volume of the precursor solution was added to the weighed SnO2 powder to obtain 1 wt.% total metal content (1 wt.% M for monometallic nanocomposites and 0.5 wt.% Pd + 0.5 wt.% Pt for bimetallic one) and ethanol was allowed to evaporate. All impregnated samples were then annealed at 300 °C for 24 h for decomposition of acetylacetonates. These annealing conditions corresponded to the lowest temperature, which ensured complete decomposition of both Pd(acac)2 and Pt(acac)2 that was proven using thermal analysis. A reference sample of SnO2 was created using an annealing undoped matrix material at 300 °C for 24 h.
The elemental composition of mono- and bimetallic nanocomposites was determined by X-ray fluorescence (XRF) analysis using a M1 Mistral (Bruker) micro-X-ray spectrometer. The phase composition of the samples was determined by XRD using a DRON-4-07 diffractometer (CuKα, λ = 1.5406 Å). The crystallite size of SnO2 phase (dXRD) was calculated by the Sherrer formula using 110 and 101 reflections.
The specific surface area was measured on Chemisorb 2750 instrument (Micromeritics) using a low-temperature nitrogen adsorption using single point BET model.
The microstructure of the samples and distribution of modifiers in SnO2 matrix were investigated using transmission electron microscopy (TEM), high angle annular dark field scanning transmission electron microscopy (HAADF-STEM), and energy dispersive X-ray (EDX) mapping, all accomplished using a FEI Osiris microscope equipped with a Super-X detector operated at 200 kV.
The chemical state of the elements was studied by X-ray photoelectron spectroscopy (XPS). The measurements were effectuated on K-Alpha (Thermo Scientific) spectrometer equipped with a monochromatic Al Kα X-ray source (Е = 1486.7 eV). The positions of the peaks in the binding energy scale were adjusted with a C1s peak (285.0 eV) that corresponded to the carbon contamination of the surface with an accuracy of 0.1 eV. XP-spectra were fitted by Gaussian–Lorentzian convolution functions with simultaneous optimization of the background parameters.
Active surface sites with oxidizing properties were investigated using the thermo-programmed reduction with hydrogen (TPR-H2) method. The experiments were carried out on Chemisorb 2750 (Micromeritics) in a quartz reactor at a gas mixture flow of 10% H2 in argon at 50 mL/min and at a heating rate of 10 °C/min to 900 °C.
The molecules adsorbed on the surface of materials were studied using the Fourier Transform infrared spectroscopy (FTIR) method. The IR spectra of the samples were taken on a Spectrum One (Perkin Elmer) spectrometer in transmission mode within the wavenumber range 400–4000 cm−1 with 1 cm−1 steps. The powders (5 mg) were grinded with 100 mg of dried KBr (Aldrich, “for FTIR analysis”) and pressed into tablets.
To perform the sensor tests, the powders were deposited onto microelectronic transducers equipped with Pt contacts and heaters in form of thick films. The sensors were placed into a gas flow chamber under conditions of a controlled gas flow of 100 ± 0.1 mL/min and operated by a resistance-measuring device connected to a PC. The DC-resistance was registered in situ under changing conditions in a temperature range of 60–300 °C. CO-air mixture containing 6.7 ppm CO was used as a test gas. The required level of humidity (RH = 0% and RH = 20%) was provided by mixing two streams of dry air and humid air using the membrane humidifier Cellkraft P-2.

4. Conclusions

The nanocrystalline SnO2 was synthesized using flame spray pyrolysis and used as semiconductor matrix to obtain the mono- and bimetallic nanocomposites SnO2/Pd, SnO2/Pt and SnO2/PtPd. It was found that in monometallic nanocomposites SnO2/Pt and SnO2/Pd, platinum forms large (several tens of nanometers) particles, PtOx, while palladium was distributed as small (including less than 2 nm) PdOx nanoparticles on the SnO2 surface. In bimetallic nanocomposite SnO2/PtPd, platinum was located in large bimetallic PtPdOx particles with a different Pt/Pd ratio, but palladium was also present in the form of small nanoparticles PdOx.
The surface characteristics of bimetallic SnO2/PtPd nanocomposite were not additive as compared with monometallic SnO2/Pt and SnO2/Pd samples. Thus, active surface sites with oxidizing properties were determined by the presence of Pt-containing particles, while PdOx nanoparticles were responsible for the increase in the surface hydroxyl concentration.
The sensor properties of bimetallic SnO2/PtPd nanocomposite can be explained by the combined effect of modifiers on the electrophysical properties of SnO2. The inversion of the sensor response from n- to p-type observed for SnO2/PtPd nanocomposite in dry air was due to a change in the type of main charge carriers in the near-surface layer of SnO2. Furthermore, the chances was due to the formation of a deep and extended electron depleted layer in the area of SnO2 contacts with platinum-enriched bimetallic PtPdOx particles and PdOx nanoparticles. In humid air, the adsorption of water vapor on SnO2 led to an increase in the concentration of electrons. As a result, electrons remained the main charge carriers and no inversion of sensor response was observed.

Author Contributions

Conceptualization, M.R. and A.G.; Data curation, P.K. and M.R.; Formal analysis, P.K. and M.R.; Investigation, P.K., D.F., V.K., M.B., N.K., and A.A.; Methodology, M.R., V.K., D.F., J.H., and N.K.; Supervision, M.R.; Writing—original draft, M.R. and P.K.; Writing—review & editing, M.R., J.H., and A.G.

Funding

This research was funded by the Russian Ministry of Education and Sciences (Agreement No. 14.613.21.0075, RFMEFI61317X0075).

Acknowledgments

The work was carried out using the equipment purchased by funds of Lomonosov Moscow State University Program of the Development.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Resistance of the samples in the temperature range 60–300 °C under the periodic change of the gas phase composition at relative humidity (a) Relative Humidity (RH) = 0% and (b) RH = 20%. (c) An enlarged image of the resistance variation of the samples when measured in dry air (RH = 0%). (1) SnO2, (2) SnO2/Pd, (3) SnO2/Pt, (4) SnO2/PtPd. Pale blue areas correspond to exposure in CO.
Figure 1. Resistance of the samples in the temperature range 60–300 °C under the periodic change of the gas phase composition at relative humidity (a) Relative Humidity (RH) = 0% and (b) RH = 20%. (c) An enlarged image of the resistance variation of the samples when measured in dry air (RH = 0%). (1) SnO2, (2) SnO2/Pd, (3) SnO2/Pt, (4) SnO2/PtPd. Pale blue areas correspond to exposure in CO.
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Figure 2. Sensor signal to 6.7 ppm CO of blank SnO2 and mono- and bimetallic nanocomposites in the temperature range 60–300 °C at relative humidity RH = 0% (a) and RH = 20% (b).
Figure 2. Sensor signal to 6.7 ppm CO of blank SnO2 and mono- and bimetallic nanocomposites in the temperature range 60–300 °C at relative humidity RH = 0% (a) and RH = 20% (b).
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Figure 3. X-ray diffraction (XRD) pattern of SnO2 powder obtained using the flame spray pyrolysis (FSP) method. Vertical lines correspond to the ICDD 41-1445 reference (SnO2 cassiterite).
Figure 3. X-ray diffraction (XRD) pattern of SnO2 powder obtained using the flame spray pyrolysis (FSP) method. Vertical lines correspond to the ICDD 41-1445 reference (SnO2 cassiterite).
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Figure 4. High angle annular dark field scanning transmission electron microscopy (HAADF-STEM) image: (a) and particle size distribution (b) of the SnO2 matrix.
Figure 4. High angle annular dark field scanning transmission electron microscopy (HAADF-STEM) image: (a) and particle size distribution (b) of the SnO2 matrix.
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Figure 5. HAADF-STEM image: (a) energy dispersive X-ray scanning transmission electron microscopy (EDX-STEM) map (b) of the SnO2/Pd nanocomposite.
Figure 5. HAADF-STEM image: (a) energy dispersive X-ray scanning transmission electron microscopy (EDX-STEM) map (b) of the SnO2/Pd nanocomposite.
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Figure 6. HAADF-STEM image: (a) EDX-STEM map (b) and Pt particles size distribution (c) of the SnO2/Pt nanocomposite.
Figure 6. HAADF-STEM image: (a) EDX-STEM map (b) and Pt particles size distribution (c) of the SnO2/Pt nanocomposite.
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Figure 7. HAADF-STEM image: (a) EDX-STEM map (b) of the SnO2/PtPd nanocomposite. (c) Pt content in PtPd nanoparticles of different size.
Figure 7. HAADF-STEM image: (a) EDX-STEM map (b) of the SnO2/PtPd nanocomposite. (c) Pt content in PtPd nanoparticles of different size.
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Figure 8. XP spectra Pd3d, (a) Pt4f, (b) O1s (c) of the samples.
Figure 8. XP spectra Pd3d, (a) Pt4f, (b) O1s (c) of the samples.
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Figure 9. (a) IR spectra of blank SnO2 and nanocomposites normalized to the intensity Sn-O oscillations. Inset: enlarged spectra in 3100–3800 cm−1 region. (b) TPR-H2 profiles of blank SnO2 and nanocomposites.
Figure 9. (a) IR spectra of blank SnO2 and nanocomposites normalized to the intensity Sn-O oscillations. Inset: enlarged spectra in 3100–3800 cm−1 region. (b) TPR-H2 profiles of blank SnO2 and nanocomposites.
Nanomaterials 08 00917 g009
Table 1. Microstructure characteristics and composition of investigated samples.
Table 1. Microstructure characteristics and composition of investigated samples.
SampleSsurf, m2/gdXRD (SnO2), nm (a)dTEM, nm (b)[M], wt.% (c)
SnO2PdPt
SnO222 ± 510 ± 110.7 ± 4.9---
SnO2/Pd<2; 8–20-1.5 ± 0.2 (c)
SnO2/Pt-25–1001.0 ± 0.2 (c)
SnO2/PtPd<217–641.3 ± 0.2 (Pd) 0.3 ± 0.1 (Pt)
(a) crystallite size (X-ray diffraction, XRD); (b) particle size (transmission electron microscopy, TEM); (c) obtained using X-ray fluorescence (XRF) analysis.
Table 2. Pd 3d5/2 and Pt 4f7/2 XP spectral assignments.
Table 2. Pd 3d5/2 and Pt 4f7/2 XP spectral assignments.
Spectral AssignmentBinding Energy, eV
Ref. [65]Ref. [66]SnO2/PdSnO2/PtSnO2/PtPd
Pd 3d5/2Pd (0) 335.4 336.9-336.0
PdO 336.4
Pt 4f7/2 Pt (0) 71.0-72.072.2
Pt (II) 72.4
Pt (IV) 74.9
Table 3. Results of the TPR-H2 experiments.
Table 3. Results of the TPR-H2 experiments.
SampleHydrogen Consumption, Mol H2 per 1 Mol SnO2Tmax, °C N   ( O 2 ( a d s ) ) ,   Mol / m 2
Total100–300 °C370–850 °C
SnO22.9 ± 0.30.7 ± 0.12.2 ± 0.56301.0×10−4
SnO2/Pd2.5 ± 0.30.2 ± 0.12.3 ± 0.55803.0×10−5
SnO2/Pt2.3 ± 0.30.4 ± 0.11.9 ± 0.55656.0×10−5
SnO2/PtPd2.1 ± 0.30.2 ± 0.11.9 ± 0.55653.0×10−5

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Kutukov, P.; Rumyantseva, M.; Krivetskiy, V.; Filatova, D.; Batuk, M.; Hadermann, J.; Khmelevsky, N.; Aksenenko, A.; Gaskov, A. Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors. Nanomaterials 2018, 8, 917. https://doi.org/10.3390/nano8110917

AMA Style

Kutukov P, Rumyantseva M, Krivetskiy V, Filatova D, Batuk M, Hadermann J, Khmelevsky N, Aksenenko A, Gaskov A. Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors. Nanomaterials. 2018; 8(11):917. https://doi.org/10.3390/nano8110917

Chicago/Turabian Style

Kutukov, Pavel, Marina Rumyantseva, Valeriy Krivetskiy, Darya Filatova, Maria Batuk, Joke Hadermann, Nikolay Khmelevsky, Anatoly Aksenenko, and Alexander Gaskov. 2018. "Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors" Nanomaterials 8, no. 11: 917. https://doi.org/10.3390/nano8110917

APA Style

Kutukov, P., Rumyantseva, M., Krivetskiy, V., Filatova, D., Batuk, M., Hadermann, J., Khmelevsky, N., Aksenenko, A., & Gaskov, A. (2018). Influence of Mono- and Bimetallic PtOx, PdOx, PtPdOx Clusters on CO Sensing by SnO2 Based Gas Sensors. Nanomaterials, 8(11), 917. https://doi.org/10.3390/nano8110917

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