异戊二烯
挥发性有机化合物
甲醛
丙醇
电子鼻
限制
丙酮
工艺工程
醋酸
传感器阵列
碳氢化合物
化学
生物系统
计算机科学
环境科学
材料科学
纳米技术
有机化学
工程类
机器学习
甲醇
共聚物
机械工程
聚合物
生物
作者
Siyuan Lv,Tianyi Gu,Qi Pu,Bin Wang,Xiaoteng Jia,Peng Sun,Lijun Wang,Fangmeng Liu,Geyu Lu
出处
期刊:Advanced Science
[Wiley]
日期:2024-07-23
卷期号:11 (36): e2405124-e2405124
被引量:9
标识
DOI:10.1002/advs.202405124
摘要
Abstract Amid growing interest in the precise detection of volatile organic compounds (VOCs) in industrial field, the demand for highly effective gas sensors is at an all‐time high. However, traditional sensors with their classic single‐output signal, bulky and complex integrated structure when forming array often involve complicated technology and high cost, limiting their widespread adoption. Here, this study introduces a novel approach, employing an integrated YSZ‐based (YSZ: yttria‐stabilized zirconia) mixed potential sensor equipped with a triple‐sensing electrode array, to efficiently detect and differentiate six types of VOCs gases. This innovative sensor integrates NiSb 2 O 6 , CuSb 2 O 6 , and MgSb 2 O 6 sensing electrodes (SEs), which are sensitive to pentane, isoprene, n‐propanol, acetone, acetic acid, and formaldehyde gases. Through feature engineering based on intuitive spike‐based response values, it accentuates the distinct characteristics of every gas. Eventually, an average classification accuracy of 98.8% and an overall R‐squared error (R 2 ) of 99.3% for concentration regression toward six target gases can be achieved, showcasing the potential to quantitatively distinguish between industrial hazardous VOCs gases.
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