Journal of Alloys and Compounds, Journal Year: 2023, Volume and Issue: 971, P. 172782 - 172782
Published: Nov. 7, 2023
Language: Английский
Journal of Alloys and Compounds, Journal Year: 2023, Volume and Issue: 971, P. 172782 - 172782
Published: Nov. 7, 2023
Language: Английский
Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 503, P. 215657 - 215657
Published: Jan. 9, 2024
Language: Английский
Citations
50Sensors and Actuators B Chemical, Journal Year: 2023, Volume and Issue: 396, P. 134579 - 134579
Published: Sept. 7, 2023
Language: Английский
Citations
48Ceramics International, Journal Year: 2024, Volume and Issue: 50(9), P. 15767 - 15779
Published: Feb. 14, 2024
Language: Английский
Citations
21Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2024, Volume and Issue: 700, P. 134670 - 134670
Published: July 1, 2024
Language: Английский
Citations
18Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 531, P. 216492 - 216492
Published: Feb. 10, 2025
Language: Английский
Citations
2Journal of Materials Chemistry A, Journal Year: 2023, Volume and Issue: 11(44), P. 23742 - 23771
Published: Jan. 1, 2023
Metal oxides have been extensively used in environmental monitoring, breath analysis, and food quality assessment. This review summarizes the effects of nanoscale heterojunctions on enhancing gas-sensing performance metal oxide devices.
Language: Английский
Citations
39ACS Applied Engineering Materials, Journal Year: 2024, Volume and Issue: 2(2), P. 431 - 442
Published: Feb. 6, 2024
Metal oxide-based chemiresistive gas sensors are reliable for detecting low concentrations of hydrogen sulfide (H2S) gas, which pose significant harm to human health. This article highlights the improvement in H2S detection by using CuO-decorated SnO2 nanofibers, synthesized combining electrospinning and sputtering. The electrospun PVP/SnO2 fibers calcinated at 600 °C, reducing diameter from 498 220 nm, enhances crystallinity, favoring improved sensing. efficacy nanofibers was explored a temperature ranging 50 200 °C. CuO sputtered nanoparticles 30, 60, 90 s, respectively, on improve relative response, showing importance composite material toward catalytic abilities 60 s boost response 85.71% ppm °C─an 25% more than pristine nanofibers. showed an excellent adsorption/desorption property with recovery times 100 109 H2S. First-principles calculations indicate that O-adsorbed SnO2/CuO system has potential due its high adsorption energy −2.21 eV, charge transfer 0.65 e–, orbital interactions. Our findings conclude superiority industrial applications.
Language: Английский
Citations
17Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 476, P. 134932 - 134932
Published: June 15, 2024
Language: Английский
Citations
15Environmental Chemistry Letters, Journal Year: 2024, Volume and Issue: 22(4), P. 2055 - 2090
Published: May 6, 2024
Language: Английский
Citations
14ACS Sensors, Journal Year: 2024, Volume and Issue: 9(3), P. 1499 - 1507
Published: Feb. 21, 2024
The concentration of fractional exhaled nitric oxide (FeNO) is closely related to human respiratory inflammation, and the detection its plays a key role in aiding diagnosing inflammatory airway diseases. In this paper, we report gas sensor system based on distributed parallel self-regulating neural network (DPSRNN) model combined with ultraviolet differential optical absorption spectroscopy for detecting ppb-level FeNO concentrations. noise signals spectrum are eliminated by discrete wavelet transform. DPSRNN then built separated multipeak characteristic structure UV NO. Furthermore, each feature region, which given weights finally trained unified structure. final obtained indicate that region contributes different weight prediction. Compared regular convolutional structure, proposed has better performance considering effect absorptions breaking habit bringing as whole into training previous studies. Lab-based results show can stably achieve high-precision NO (2.59-750.66 ppb) mean absolute error 0.17 ppb measurement accuracy 0.84%, best result date. More interestingly, capable achieving online FeNO, confirmed breath analysis.
Language: Английский
Citations
13