丙酮
Boosting(机器学习)
材料科学
复合材料
化学工程
化学
有机化学
计算机科学
工程类
机器学习
作者
Eleonora Pargoletti,Alberto Vertova,Antonio Tricoli,A. Starvaggi,Alishba T. John,Simone Minelli,Mariangela Longhi,G. Cappelletti
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-01-05
被引量:6
标识
DOI:10.1021/acssensors.4c02708
摘要
Accurate methods for detecting volatile organic compounds (VOCs) are essential for noninvasive disease diagnosis, with breath analysis providing a simpler, user-friendly alternative to traditional diagnostic tools. However, challenges remain in low-temperature VOC solid-state sensors, especially concerning their selectivity and functionality at room temperature. Herein, we present key insights into optimizing multiwalled carbon nanotubes (MWCNTs)/polyaniline (PANI) and ZnO nanocomposites for efficient, light-free selective acetone sensing. We showcased novel nanocomposites prepared by integrating p-type MWCNTs/PANI into a porous 3D network of n-type ZnO nanoparticles, synthesized via flame spray pyrolysis, and varying the weight ratios between ZnO and MWCNTs/PANI (namely 1:1, 8:1, 32:1, 64:1). The 32:1 nanocomposite exhibited superior acetone selectivity over toluene and ethanol, resulting in promise even at room temperature. As such, a potential sensing mechanism was proposed, which involves nanoheterojunction formation between p-type MWCNTs/PANI and n-type ZnO, creating an accumulation layer that enhances the gas response. Moreover, the incorporation of MWCNTs improved the overall conductivity and carrier mobility. Hence, we believe that this work offers valuable insights for optimizing MWCNTs/PANI and ZnO nanocomposites for efficient, low-temperature, light-free gas sensors.
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