Optimized PANI@SnO2-Co3O4 ammonia sensor with UV/humidity-modulated response and machine learning-assisted early prediction

In this study, a novel ternary PANI@SnO2-Co3O4 nanocomposite was developed, that synergistically combines the functional advantages of its individual components, to achieve markedly enhanced NH3 sensing performance. At room temperature, the sensor exhibits a high response of 26.02–10 ppm NH3, with a...

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Vydané v:	Sensors and actuators. B, Chemical Ročník 449; s. 139171
Hlavní autori:	Qin, Yuxiang, Zhang, Yizhe, Lei, Jing, Liu, Xinyi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.02.2026
Predmet:	Gas sensors Humidity effect Machine learning algorithms UV irradiation Machine learning algorithms UV irradiation Humidity effect Gas sensors
ISSN:	0925-4005
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