Integrated Cobalt Oxide Based Nanoarray Catalysts with Hierarchical Architectures: In Situ Raman Spectroscopy Investigation on the Carbon Monoxide Reaction Mechanism

Mo, Shengpeng; Zhang, Qi; Li, Shuangde; Ren, Quanming; Zhang, Mingyuan; Xue, Yudong; Peng, Ruosi; Xiao, Hailin; Chen, Yunfa; Ye, Daiqi

doi:10.1002/cctc.201800363

Cited by 51 publications

(25 citation statements)

References 56 publications

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“…For α-MnO2, the asymmetrical reduction peak manifests that the main reduction steps are processed together in the range of 200-370 °C. In addition, the α-MnO2@Co3O4 sample profile displays complex reduction peaks occurring at the range of 120-380 °C, attributed to the reduction process of Co3O4 [26,27]. It can be clearly observed that the reduction peaks of α-MnO2@Co3O4 shift toward lower temperatures in comparison to those of pure α-MnO2 and Co3O4-b (Fig.…”

Section: Redox Behavior and Surface Chemical States Analysesmentioning

confidence: 90%

Enhancing catalytic toluene oxidation over MnO2@Co3O4 by constructing a coupled interface

Ren

Fan

et al. 2020

Chinese Journal of Catalysis

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Herein, a bottom-down design is presented to successfully fabricate ZIF-derived Co3O4, grown in situ on a one-dimensional (1D) α-MnO2 material, denoted as α-MnO2@Co3O4. The synergistic effect derived from the coupled interface constructed between α-MnO2 and Co3O4 is responsible for the enhanced catalytic activity. The resultant α-MnO2@Co3O4 catalyst exhibits excellent catalytic activity at a T90% (temperature required to achieve a toluene conversion of 90%) of approximately 229 o C, which is 47 and 28 °C lower than those of the pure α-MnO2 nanowire and Co3O4-b obtained via pyrolysis of ZIF-67, respectively. This activity is attributed to the increase in the number of surface-adsorbed oxygen species, which accelerate the oxygen mobility and enhance the redox pairs of Mn 4+ /Mn 3+ and Co 2+ /Co 3+ . Moreover, the result of in situ diffuse reflectance infrared Fourier transform spectroscopy suggests that the gaseous oxygen could be more easily activated to adsorbed oxygen species on the surface of α-MnO2@Co3O4 than on that of α-MnO2. The catalytic reaction route of toluene oxidation over the α-MnO2@Co3O4 catalyst is as follows: toluene → benzoate species → alkanes containing oxygen functional group → CO2 and H2O. In addition, the α-MnO2@Co3O4 catalyst shows excellent stability and good water resistance for toluene oxidation. Furthermore, the preparation method can be extended to other 1D MnO2 materials. A new strategy for the development of high-performance catalysts of practical significance is provided.

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Section: Redox Behavior and Surface Chemical States Analysesmentioning

confidence: 90%

Enhancing catalytic toluene oxidation over MnO2@Co3O4 by constructing a coupled interface

Ren

Fan

et al. 2020

Chinese Journal of Catalysis

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“…At present, there are many technical methods for controlling volatile organic compounds (VOCs), such as adsorption, catalytic oxidation, combustion, plasma, and so on. Among them, catalytic oxidation is known as the most efficient and economical method to remove VOCs [10][11][12][13][14]. Besides, catalytic oxidation has also been recognized as a promising technology for reducing exhaust gases because it directly converts pollutions into CO 2 and H 2 O at relatively lower temperatures and reduces the production of other atmospheric pollutants.…”

Section: Introductionmentioning

confidence: 99%

Bimetallic Pt-Co Nanoparticle Deposited on Alumina for Simultaneous CO and Toluene Oxidation in the Presence of Moisture

Peng

et al. 2021

Processes

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Carbon monoxide (CO) and hydrocarbons (HCs) generally have competitive adsorption on the active site of noble-metal nano-catalysts, thus developing an effective way to reduce the passivation of competitive reaction with each other is an urgent problem. In this study, we successfully synthesized transition metal-noble metal (Pt-M) alloys via introducing inexpensive metal elements (M = Ni, Co and Cu) into Pt particles and then deposited on alumina support to form Pt-based catalysts. Subsequently, we choose CO and toluene as polluting gases to evaluate the catalytic activities of Pt-M/Al2O3 catalysts. Introducing inexpensive metal elements (M = Ni, Co, and Cu) significantly changed the physicochemical properties and catalytic activities of these Pt-based catalysts. It can be found that the Pt-Co/Al2O3 catalyst exhibited outstanding catalytic activity for CO and toluene oxidation under mixed gas atmosphere, compared with other Pt-based catalysts, which is due to the higher dispersity, more surface adsorption oxygen, and well redox ability. Surprisingly, H2O could promote the catalytic activities for CO/toluene co-oxidation over the Pt-Co/Al2O3 catalyst. Thus, the present synthetic strategy not only opens an avenue towards the synthesis of noble metal-based catalysts, but also provides an excellent tolerance to H2O in the catalytic process.

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“…[ 24 ] Additionally, the four pronounced characteristic peaks for CuCoO x synthesized from the rGO/CuCoO x hybrids are unequivocally ascertained at 231.64, 256.18, 332.21, and 686.69 cm −1 and are in good agreement with previous reports. [ 25–27 ] From the above discussions, we conclude that optimized hydrothermal growth and binary solvent formulation for inkjet printing enables fabrication of rGO/CuCoO x gas sensors with high material uniformity.…”

Section: Resultsmentioning

confidence: 93%

Inkjet‐Printed rGO/binary Metal Oxide Sensor for Predictive Gas Sensing in a Mixed Environment

Ogbeide

Bae

et al. 2022

Adv Funct Materials

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Selectivity for specific analytes and high‐temperature operation are key challenges for chemiresistive‐type gas sensors. Complementary hybrid materials, such as reduced graphene oxide (rGO) decorated with metal oxides enables realization of room‐temperature sensors with enhanced sensitivity. However, sensor training to identify target gases and accurate concentration measurement from gas mixtures still remain very challenging. This work proposes hybridization of rGO with CuCoOx binary metal oxide as a sensing material. Highly stable, room‐temperature NO2 sensors with a 50 ppb of detection limit is demonstrated using inkjet printing. A framework is then developed for machine‐intelligent recognition with good visibility to identify specific gases and predict concentration under an interfering atmosphere from a single sensor. Using ten unique parameters extracted from the sensor response, the machine learning‐based classifier provides a decision boundary with 98.1% accuracy, and is able to correctly predict previously unseen NO2 and humidity concentrations in an interfering environment. This approach enables implementation of an intelligent platform for printable, room‐temperature gas sensors in a mixed environment irrespective of ambient humidity.

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Integrated Cobalt Oxide Based Nanoarray Catalysts with Hierarchical Architectures: In Situ Raman Spectroscopy Investigation on the Carbon Monoxide Reaction Mechanism

Cited by 51 publications

References 56 publications

Enhancing catalytic toluene oxidation over MnO2@Co3O4 by constructing a coupled interface

Enhancing catalytic toluene oxidation over MnO2@Co3O4 by constructing a coupled interface

Bimetallic Pt-Co Nanoparticle Deposited on Alumina for Simultaneous CO and Toluene Oxidation in the Presence of Moisture

Inkjet‐Printed rGO/binary Metal Oxide Sensor for Predictive Gas Sensing in a Mixed Environment

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