Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing

被引:270
作者
Hu, Wenwen [1 ]
Wan, Liangtian [2 ]
Jian, Yingying [3 ]
Ren, Cong [3 ]
Jin, Ke [1 ]
Su, Xinghua [4 ]
Bai, Xiaoxia [3 ]
Haick, Hossam [3 ,5 ,6 ]
Yao, Mingshui [7 ]
Wu, Weiwei [3 ]
机构
[1] Xidian Univ, Sch Aerosp Sci & Technol, Xian 710126, Shaanxi, Peoples R China
[2] Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116620, Peoples R China
[3] Xidian Univ, Sch Adv Mat & Nanotechnol, Xian 710126, Shaanxi, Peoples R China
[4] Changan Univ, Sch Mat Sci & Engn, Xian 710061, Peoples R China
[5] Technion Israel Inst Technol, Dept Chem Engn, IL-3200003 Haifa, Israel
[6] Technion Israel Inst Technol, Russell Berrie Nanotechnol Inst, IL-3200003 Haifa, Israel
[7] Chinese Acad Sci, Fujian Inst Res Struct Matter, Fuzhou 350002, Peoples R China
来源
ADVANCED MATERIALS TECHNOLOGIES | 2019年 / 4卷 / 02期
基金
中国国家自然科学基金;
关键词
artificial olfaction; electronic nose; gas sensors; sensors; LA2CUO4 SENSING ELECTRODE; VOLATILE ORGANIC-COMPOUNDS; POTENTIOMETRIC NOX SENSOR; YSZ-BASED SENSOR; STABILIZED-ZIRCONIA; GAS SENSORS; OXYGEN SENSOR; GC-MS; CHEMICAL SENSORS; SELECTIVE DETECTION;
D O I
10.1002/admt.201800488
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Artificial olfaction, i.e., e-nose, plays a critical function in robotics by mimicking the human olfactory organ that can recognize different smells that correlate with a range of fields, including environment monitoring, disease diagnosis, public security affairs, agricultural production, food industry, etc. The advances in the artificial olfaction (electronic nose) technology and its applications are concisely reviewed herein. Three main elements are investigated and presented, with an emphasis on the emerging sensors and algorithm of the artificial neural network in the relevant fields. The first element is the diverse applications of e-nose in medical care, food industry, environment monitoring, public security affairs, and agricultural production. The second element is the investigation of the sensors in e-nose and representative and promising advances, which is the building block of e-nose through mimicking the olfactory receptors. The third element is the introduction to the algorithm of the artificial neural network to serve in the recognition of the pattern of odors (i.e., their chemical profiles). Promises and challenges of the separately reviewed parts and the combined parts are presented and discussed. Ideas regarding further orientation and development of the e-nose system are also considered.
引用
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页数:38
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