Sensitivity Tests of Pellets Made from Manganese Antimonate Nanoparticles in Carbon Monoxide and Propane Atmospheres

Guillén-Bonilla, Héctor; Rodríguez-Betancourtt, Verónica María; Bonilla, José Trinidad Guillen; Gildo-Ortiz, Lorenzo; Guillén-Bonilla, Alex; Casallas-Moreno, Y.L.; Blanco, O.; Reyes-Gómez, Juan

doi:10.3390/s18072299

Cited by 24 publications

(34 citation statements)

References 57 publications

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“…The optimum temperature depends on the sensing material and the sensed gas. Therefore, as in previous reports [29,43], a noticeable response variation was observed at 300 • C. Comparing our results with references [29,42,43,46], where similar experiments were carried out in static gas atmospheres, we found that our pellets had a greater response and a better performance in detecting CO at different operating temperatures (100-300 • C).…”

Section: Co Analysissupporting

confidence: 89%

“…This resulted in not recording significant increases in the pellets' response at 100 °C (see Figure 8a,b). It is important to mention that the excellent response and good stability recorded at 300 °C were mainly associated with the microstructural features obtained, which led to an increase in catalytic sites for the gas reaction with the nanoparticles' surface [43][44][45].…”

Section: Co Analysismentioning

confidence: 93%

“…The response and recovery times were calculated for both frequencies considering 90% of the response in the test gas and 10% of the value when exposed only to air [47]. Although NiSb 2 O 6 is a p-type semiconductor [28], the trend in Figure 10a,b is attributed to the fact that the decrease in |Z| is caused by the continuous flow of oxygen-rich air (21% O 2 ), which causes oxidation (O − ) [48,54,56] and an oxygen saturation (O − and O 2− ) [29,35,43,54,57] that reacts with the propane on the films' surface, causing the excellent response shown in Figure 10a-e. We observed that the good dynamic response of the NiSb2O6 films in propane atmospheres was caused by the rapid adsorption of the gas that reacted with the film's surface, causing an electron exchange between the oxygen species adsorbed on the surface and the surface itself [48].…”

Section: Propane Analysismentioning

confidence: 99%

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Preparation of Powders Containing Sb, Ni, and O for the Design of a Novel CO and C3H8 Sensor

et al. 2021

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In this work, powders of NiSb2O6 were synthesized using a simple and economical microwave-assisted wet chemistry method, and calcined at 700, 800, and 900 °C. It was identified through X-ray diffraction that the oxide is a nanomaterial with a trirutile-type structure and space group P42/mnm (136). UV–Vis spectroscopy measurements showed that the bandgap values were at ~3.10, ~3.14, and ~3.23 eV at 700, 800, and 900 °C, respectively. Using scanning electron microscopy (SEM), irregularly shaped polyhedral microstructures with a size of ~154.78 nm were observed on the entire material’s surface. The particle size was estimated to average ~92.30 nm at the calcination temperature of 900 °C. Sensing tests in static atmospheres containing 300 ppm of CO at 300 °C showed a maximum sensitivity of ~72.67. On the other hand, in dynamic atmospheres at different CO flows and at an operating temperature of 200 °C, changes with time in electrical resistance were recorded, showing a high response, stability, and repeatability, and good sensor efficiency during several operation cycles. The response times were ~2.77 and ~2.10 min to 150 and 200 cm3/min of CO, respectively. Dynamic tests in propane (C3H8) atmospheres revealed that the material improved its response in alternating current signals at two different frequencies (0.1 and 1 kHz). It was also observed that at 360 °C, the ability to detect propane flows increased considerably. As in the case of CO, NiSb2O6’s response in propane atmospheres showed very good thermal stability, efficiency, a high capacity to detect C3H8, and short response and recovery times at both frequencies. Considering the great performance in propane flows, a sensor prototype was developed that modulates the electrical signals at 360 °C, verifying the excellent functionality of NiSb2O6.

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Section: Co Analysissupporting

confidence: 89%

Section: Co Analysismentioning

confidence: 93%

Section: Propane Analysismentioning

confidence: 99%

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Preparation of Powders Containing Sb, Ni, and O for the Design of a Novel CO and C3H8 Sensor

et al. 2021

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“…Therefore, the presence of ethylenediamine determines the geometric features of the formed nuclei, which grow during the heat treatments [ 5 ]. We also have reported in previous works that by using ethylenediamine during the synthesis process, it is possible to obtain different types of morphologies [ 5 , 36 , 37 , 38 ], like microrods, nanorods, microspheres, microoctahedra, and nanoparticles, which have been successfully proved as potential gas sensors for the detection of CO, CO 2 , and C 3 H 8 atmospheres [ 39 ]. Additionally, other authors, such as Michel et al [ 40 ], used ethylenediamine for the synthesis of the semiconductor oxide CoSb 2 O 6 in order to obtain nanoparticles to be applied in the detection of CO 2 and O 2 .…”

Section: Resultsmentioning

confidence: 99%

“…This behavior is attributed to the fact that the relatively low-temperature is not enough for the reaction of the pellets’ surface and the test gas. This caused that at 100 °C, oxygen desorption did not occur [ 38 , 39 ] and, therefore, a low response of the material. Some authors also observed the poor response that shows some semiconductors at low temperatures (in our case at 100 °C), such as ours.…”

Section: Resultsmentioning

confidence: 99%

Synthesis of ZnAl2O4 and Evaluation of the Response in Propane Atmospheres of Pellets and Thick Films Manufactured with Powders of the Oxide

Huízar-Padilla

Guillén-Bonilla

et al. 2021

Sensors

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ZnAl2O4 nanoparticles were synthesized employing a colloidal method. The oxide powders were obtained at 300 °C, and their crystalline phase was corroborated by X-ray diffraction. The composition and chemical structure of the ZnAl2O4 was carried out by X-ray and photoelectron spectroscopy (XPS). The optical properties were studied by UV-vis spectroscopy, confirming that the ZnAl2O4 nanoparticles had a direct transition with bandgap energy of 3.2 eV. The oxide’s microstructures were microbars of ~18.2 nm in size (on average), as analyzed by scanning (SEM) and transmission (TEM) electron microscopies. Dynamic and stationary gas detection tests were performed in controlled propane atmospheres, obtaining variations concerning the concentration of the test gas and the operating temperature. The optimum temperatures for detecting propane concentrations were 200 and 300 °C. In the static test results, the ZnAl2O4 showed increases in propane response since changes in the material’s electrical conductance were recorded (conductance = 1/electrical resistance, Ω). The increases were ~2.8 at 200 °C and ~7.8 at 300 °C. The yield shown by the ZnAl2O4 nanoparticles for detecting propane concentrations was optimal compared to other similar oxides categorized as potential gas sensors.

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Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance

Deo,

Kreider,

Kamat

et al. 2024

ChemPhysChem

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Computationally predicting the performance of catalysts under reaction conditions is a challenging task due to the complexity of catalytic surfaces and their evolution in situ, different reaction paths, and the presence of solid‐liquid interfaces in the case of electrochemistry. We demonstrate here how relatively simple machine learning models can be found that enable prediction of experimentally observed onset potentials. Inputs to our model are comprised of data from the oxygen reduction reaction on non‐precious transition‐metal antimony oxide nanoparticulate catalysts with a combination of experimental conditions and computationally affordable bulk atomic and electronic structural descriptors from density functional theory simulations. From human‐interpretable genetic programming models, we identify key experimental descriptors and key supplemental bulk electronic and atomic structural descriptors that govern trends in onset potentials for these oxides and deduce how these descriptors should be tuned to increase onset potentials. We finally validate these machine learning predictions by experimentally confirming that scandium as a dopant in nickel antimony oxide leads to a desired onset potential increase. Macroscopic experimental factors are found to be crucially important descriptors to be considered for models of catalytic performance, highlighting the important role machine learning can play here even in the presence of small datasets.

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Sensitivity Tests of Pellets Made from Manganese Antimonate Nanoparticles in Carbon Monoxide and Propane Atmospheres

Cited by 24 publications

References 57 publications

Preparation of Powders Containing Sb, Ni, and O for the Design of a Novel CO and C3H8 Sensor

Preparation of Powders Containing Sb, Ni, and O for the Design of a Novel CO and C3H8 Sensor

Synthesis of ZnAl2O4 and Evaluation of the Response in Propane Atmospheres of Pellets and Thick Films Manufactured with Powders of the Oxide

Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance

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