Superior detection and classification of ethanol and acetone using 3D ultra-porous γ-Fe2O3 nanocubes-based sensor

Hải, Hồ Văn Minh; Cường, Nguyễn Đức; Duy, Hien; Long, Hoang Thai; Phuong, Tran Quy; Dang, Tran Khoa; Thong, Le Viet; Việt, Nguyễn Ngọc; Hiếu, Nguyễn Văn

doi:10.1016/j.snb.2022.131737

Cited by 16 publications

(5 citation statements)

References 60 publications

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“…All sensors-based NRs, NNs, and NWs showed a higher response to C 2 H 5 OH than those of CO and NH 3 . The high selectivity of sensors to C 2 H 5 OH can be explained by the close alignment of electron energy levels between the lowest unoccupied molecular orbital (LUMO) of ethanol and adsorbed oxygen, which facilitates the reactivity between ethanol and the absorbed oxygen [31][32][33]. It is worth noting that the higher and faster response/recovery rates of NWsbased sensors are not reliant on the type of gas being tested, including C 2 H 5 OH, CO, and NH 3 , as seen in figures 3(d) and 4(d).…”

Section: Resultsmentioning

confidence: 99%

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On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

Phan,

Chu,

Nguyen

et al. 2024

Adv. Nat. Sci: Nanosci. Nanotechnol.

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In this study, we use the chemical vapour deposition trapping method to grow various one-dimensional (1D) indium oxide (In2O3) nanostructures, namely nanorods (NRs), nanoneedles (NNs), and nanowires (NWs). The structural and morphological characteristics of the synthesised nanostructures are analysed using x-ray diffraction and scanning electron microscopy. By comparing the morphology of In2O3 under different growth conditions with previous research findings, we investigate the growth mechanism and the role of gold catalysts. The In2O3 sensor presented a good selection for C2H5OH gas. The NWs-based sensor exhibits a superior response and faster response-recovery rates (50%, and 49 s/343 s) in comparison to the NRs- (45%, and 35 s/339 s) and NNs-based sensors (8%, and 70 s/496 s) when exposed to 200 ppm C2H5OH at 400 °C. Besides, the sensors exhibited good stability under the switch-off reversible cycle. The linear discriminant analysis (LDA) model was effectively used in classifying target gases such as 25–200 ppm C2H5OH, NH3, and CO at the temperature of 350 °C–450 °C. We attribute the NWs-based sensor’s better gas-sensing performance to its favourable morphology for gas diffusion and modulation of depletion depth.

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Section: Resultsmentioning

confidence: 99%

“…LDA is capable of discriminating two or more categories from each other in the best way. This method has also been used effectively in differentiating gases in our previous works [31,34]. Here, each input layer of LDA contains the first 100 points extracted from the recovery data part of the gas response curve in each measurement.…”

Section: Resultsmentioning

confidence: 99%

On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

Phan,

Chu,

Nguyen

et al. 2024

Adv. Nat. Sci: Nanosci. Nanotechnol.

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“…For this reason, tremendous research has been dedicated to the synthesis and characterization of NC-based SMO sensors. − For example, Lu et al demonstrated porous CO 3 O 4 nanocubes for ethanol monitoring. While Hai et al produced γ-Fe 2 O 3 porous nanocubes via a hydrothermal approach for excellent detection of both acetone and ethanol gas. The pronounced gas sensing characteristics of the two reported studies were explained by the 3-D morphology, which offered more channels for the target gas to be adsorbed and desorbed.…”

Section: Introductionmentioning

confidence: 99%

Engineering of Mesoporous Cube-like In₂O₃ Products as Ethanol Detection Platform at Low Operating Temperature: Effects of Different Transition Metals as Dopant Ions

Kgomo,

Swart,

Mhlongo

2024

ACS Omega

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Although most semiconductor metal oxides including In 2 O 3 show acceptable sensitivity to volatile organic compounds, it is difficult to detect ethanol effectively at low operating temperatures and detection levels. In this study, pure and Co-, Ni-, and Cu-doped In 2 O 3 products with their doping content maintained at 1 mol % were successfully produced using a hydrothermal approach. Explicit contrast on the structural, microstructural, and textural properties of the synthesized In 2 O 3 products was examined to determine their gas sensing performance. The Cu-doped In 2 O 3 sensor demonstrated improved response of 15.3 to 50 ppm ethanol and has satisfactory selectivity, stability, low detection limit of 0.2, humidity resistance, and decreased working temperature of 80 °C compared to 150 °C of the pure In 2 O 3 sensor. This optimal gas sensing performance is derived from the cube-like morphology assembled with interlinked nanoparticles, which favors trapping more target gas molecules and exposing more active sites, thereby greatly improving its sensing ability. This study showed that the Cu-doped In 2 O 3 sensor with 1 mol % is suitable for monitoring ethanol gas for food safety applications.

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“…Nonetheless, the sputtering process required costly equipment. Recently, the γ-Fe 2 O 3 nanocubes exhibited a pronounced good clarification between (CH 3 ) 2 CO and CH 3 CH 2 OH gases [26]. However, the preparation of γ-Fe 2 O 3 nanocubes via the hydrothermal method demanded considerable manual expertise and restricted production to laboratory-scale quantities.…”

Section: Introductionmentioning

confidence: 99%

Directly electrospun copper ferrite CuFe₂O₄ nanofiber-based for gas classification

Phan,

Nguyen,

Nguyen

et al. 2024

Adv. Nat. Sci: Nanosci. Nanotechnol.

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The cross-response is a considerable primary challenge of gas sensors based on semiconducting metal oxide (SMO), especially in detecting and classifying gases with comparable properties. In this work, the copper ferrite (CuFe2O4, CFO) nanofibers (NFs)-based sensors were straightforwardly synthesised by electrospinning technique. The morphology of the CFO NFs was observed using scanning electron microscopy (SEM), which revealed a rough surface with a diameter of approximately 80 nm. The composition of the fiber was confirmed by energy dispersive spectroscopy (EDS), which showed the fiber’s chemical elements to include Cu, Fe, and O. The microstructural characteristics of the CFO NFs were analysed using x-ray diffraction (XRD) and Raman spectroscopy, confirming the characteristic peaks of the CFO phase. The gas sensing characteristics of CFO-based sensors have been examined to 25−200 ppm of various gases of (CH3)2CO, CH3CH2OH, NH3, and H2 at a function of working temperature of 350−450 °C. The gas-sensing mechanism of the sensor based on CFO NFs is explained by the surface depletion layer and the grain boundary model. The successful categorisation of these gases into distinct groups was realised, indicating that the issue of cross-response caused by interfering gases was effectively addressed with the aid of an artificial intelligence algorithm.

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Superior detection and classification of ethanol and acetone using 3D ultra-porous γ-Fe2O3 nanocubes-based sensor

Cited by 16 publications

References 60 publications

On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

Engineering of Mesoporous Cube-like In₂O₃ Products as Ethanol Detection Platform at Low Operating Temperature: Effects of Different Transition Metals as Dopant Ions

Directly electrospun copper ferrite CuFe₂O₄ nanofiber-based for gas classification

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Superior detection and classification of ethanol and acetone using 3D ultra-porous γ-Fe2O3 nanocubes-based sensor

Cited by 16 publications

References 60 publications

On-chip growth of one-dimensional In2O3 nanostructures by vapor trapping method and their comparative gas-sensing performance

On-chip growth of one-dimensional In2O3 nanostructures by vapor trapping method and their comparative gas-sensing performance

Engineering of Mesoporous Cube-like In2O3 Products as Ethanol Detection Platform at Low Operating Temperature: Effects of Different Transition Metals as Dopant Ions

Directly electrospun copper ferrite CuFe2O4 nanofiber-based for gas classification

Contact Info

Product

Resources

About

On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

On-chip growth of one-dimensional In₂O₃ nanostructures by vapor trapping method and their comparative gas-sensing performance

Engineering of Mesoporous Cube-like In₂O₃ Products as Ethanol Detection Platform at Low Operating Temperature: Effects of Different Transition Metals as Dopant Ions

Directly electrospun copper ferrite CuFe₂O₄ nanofiber-based for gas classification