Materials Chemistry and Physics, Journal Year: 2024, Volume and Issue: 322, P. 129569 - 129569
Published: June 5, 2024
Language: Английский
Materials Chemistry and Physics, Journal Year: 2024, Volume and Issue: 322, P. 129569 - 129569
Published: June 5, 2024
Language: Английский
Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112538 - 112538
Published: March 20, 2024
Language: Английский
Citations
22Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159639 - 159639
Published: Jan. 1, 2025
Language: Английский
Citations
2Applied Surface Science, Journal Year: 2025, Volume and Issue: unknown, P. 162856 - 162856
Published: March 1, 2025
Language: Английский
Citations
2Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 409, P. 135630 - 135630
Published: March 11, 2024
Language: Английский
Citations
10Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 417, P. 136120 - 136120
Published: June 14, 2024
Language: Английский
Citations
10Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 412, P. 135822 - 135822
Published: April 16, 2024
Language: Английский
Citations
9Journal of Power Sources, Journal Year: 2024, Volume and Issue: 624, P. 235545 - 235545
Published: Oct. 2, 2024
Language: Английский
Citations
8Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 499, P. 156531 - 156531
Published: Oct. 9, 2024
Language: Английский
Citations
5Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 31, 2025
Abstract Direct visualization and monitoring of volatile organic compounds (VOCs) sensing processes via portable colorimetric sensors are highly desired but challenging targets. The key challenge resides in the development efficient systems with high sensitivity, selectivity, humidity resistance, profuse color change. Herein, a strategy is reported for direct VOCs by mimicking human olfactory function integrating COF‐on‐MOF artificial intelligence (AI)‐assisted data analysis techniques. Dye@Zeolitic Imidazolate Framework@Covalent Organic Framework (Dye@ZIF‐8@COF) sensor takes advantage porous structure MOF core hydrophobic nature COF shell, enabling sensitive trace number VOCs. Dye@ZIF‐8@COF exhibits exceptional sensitivity to at sub‐parts per million levels demonstrates excellent resistance (under 20–90% relative humidity), showing great promise practical applications. Importantly, AI‐assisted information fusion perceptual greatly promote accuracy processes, classification seven stages matcha drying superior 95.74%. This work paves way integration advanced humidity‐resistant materials analyzing
Language: Английский
Citations
0ACS Sensors, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 12, 2025
Timely and accurate detection of H2S is crucial for preventing serious health issues in both humans livestock upon exposure. However, metal-oxide-based sensors often suffer from mediocre sensitivity, poor selectivity, or long response/recovery time. Here, an atomic Ru species-driven SnO2-based sensor fabricated to realize highly sensitive selective at the parts per billion level as low 100 ppb. The shows a high sensing response (Rair/Rgas = 310.1) ultrafast time (less than 1 s) 20 ppm operating temperature 160 °C. Operando SR-FTIR spectroscopic characterizations DFT calculations prove that superior properties can be mainly attributed driven effect species on formation surface-adsorbed oxygen surface SnO2, which provides more active sites enhances performance SnO2 H2S. Furthermore, lab-made wireless portable monitoring system developed rapidly detect early warning, suggesting potential application system. This work novel approach fabricating gas by metal loaded metal-oxide semiconductors.
Language: Английский
Citations
0