Investigation of sorptive interactions between volatile organic compounds and supramolecules at dynamic oscillation using bulk acoustic wave resonator virtual sensor arrays

被引:2
|
作者
Wang, Zilun [1 ,2 ,3 ]
Zhao, Zeyu [2 ]
Jin, Suhan [2 ]
Bian, Feilong [1 ]
Chang, Ye [2 ]
Duan, Xuexin [2 ]
Men, Xiangdong [1 ]
You, Rui [3 ]
机构
[1] State Key Lab NBC Protect Civilian, Beijing 102205, Peoples R China
[2] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrumen, Tianjin 300072, Peoples R China
[3] Beijing Informat Sci & Technol Univ, Sch Instrument Sci & Optoelect Engn, Beijing 100192, Peoples R China
来源
MICROSYSTEMS & NANOENGINEERING | 2024年 / 10卷 / 01期
关键词
BLODGETT THIN-FILMS; GAS-SENSING PROPERTIES; RECOGNITION; FABRICATION; BIOSENSORS; NOSE;
D O I
10.1038/s41378-024-00729-x
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Supramolecules are considered as promising materials for volatile organic compounds (VOCs) sensing applications. The proper understanding of the sorption process taking place in host-guest interactions is critical in improving the pattern recognition of supramolecules-based sensing arrays. Here, we report a novel approach to investigate the dynamic host-guest recognition process by employing a bulk acoustic wave (BAW) resonator capable of producing multiple oscillation amplitudes and simultaneously recording multiple responses to VOCs. Self-assembled monolayers (SAMs) of beta-cyclodextrin (beta-CD) were modified on four BAW sensors to demonstrate the gas-surface interactions regarding oscillation amplitude and SAM length. Based on the method, a virtual sensor array (VSA) type electronic nose (e-nose) can be realized by pattern recognition of multiple responses at different oscillation amplitudes of a single sensor. VOCs analysis was realized respectively by using principal component analysis (PCA) for individual VOC identification and linear discriminant analysis (LDA) for VOCs mixtures classification.
引用
收藏
页数:10
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