Early detection of contamination and defect in foodstuffs by electronic nose: A review

被引：154

作者：

Sanaeifar, Alireza ^{[1
]}

ZakiDizaji, Hassan ^{[2
]}

Jafari, Abdolabbas ^{[1
]}

de la Guardia, Miguel ^{[3
]}

机构：

[1] Shiraz Univ, Dept Biosyst Engn, Shiraz, Iran

[2] Shahid Chamran Univ Ahvaz, Fac Agr, Dept Biosyst Engn, Ahvaz, Iran

[3] Univ Valencia, Dept Analyt Chem, E-46100 Valencia, Spain

来源：

TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 2017年 / 97卷

关键词：

Electronic nose; Foodborne illness; Quality control; Multivariate pattern analysis; GAS-SENSOR ARRAY; ARTIFICIAL OLFACTORY SYSTEM; VIRGIN OLIVE OILS; BIOELECTRONIC NOSE; MASS-SPECTROMETRY; NEURAL-NETWORK; QUALITY ASSESSMENT; DURUM-WHEAT; SPOILAGE CLASSIFICATION; PENICILLIUM-DIGITATUM;

D O I：

10.1016/j.trac.2017.09.014

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Electronic nose (e-nose) has emerged as a potential instrument in various areas of food safety assessment for rapid early detection of contamination and defect in food production chain. E-nose is an innovative measurement system designed for detecting and discriminating complex odors through mimicking the working mechanism and the principal building blocks of the mammalian olfactory system. This paper describes a literature update of the applications of the e-nose for ensuring health and safety in the food industry. Finally, its future trend, perspectives and challenging problem are also mentioned. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：257 / 271

页数：15

共 121 条

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