Recognition and sensing of organic compounds using analytical methods, chemical sensors, and pattern recognition approaches

被引：33

作者：

Jha, Sunil Kr ^{[1
,2
]}

Yadava, R. D. S. ^{[3
]}

Hayashi, Kenshi ^{[4
]}

Patel, Nilesh ^{[5
]}

机构：

[1] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam

[2] Ton Duc Thang Univ, Fac Appl Sci, Ho Chi Minh City, Vietnam

[3] Banaras Hindu Univ, Inst Sci, Dept Phys, Varanasi 220115, Uttar Pradesh, India

[4] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Dept Elect, Fukuoka, Fukuoka 8190395, Japan

[5] Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2019年 / 185卷

关键词：

Analytical methods; Chemical sensors; Pattern recognition; E-Nose; VOC identification; SINGULAR-VALUE DECOMPOSITION; QUARTZ-CRYSTAL MICROBALANCE; ELECTRONIC-NOSE; DISCRIMINANT-ANALYSIS; ARRAY DATA; GC-MS; ELECTROCHEMICAL SENSOR; LIQUID-CHROMATOGRAPHY; ODOR CLASSIFICATION; WAVELET TRANSFORM;

D O I：

10.1016/j.chemolab.2018.12.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Currently, the development of smart systems for recognition and sensing of volatile organic compounds (VOCs) in medical, agricultural, biometric, security and safety, applications is an emerging research area. This review presents an introduction to the field of VOC recognition by analytical methods and sensing by chemical sensors. The role of pattern recognition methods in the analysis of sensor array response is briefly discussed. Besides, the electronic nose (E-Nose) system (a bio-inspired prototype of the natural olfaction system by combining a chemical sensor array and pattern recognition methods) and its significance for VOCs recognition and sensing in different applications is explained. The study concludes current constraint and future prospects of VOC recognition and sensing in real-time applications.

引用

页码：18 / 31

页数：14

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