Electronic noses for food quality: A review

被引：533

作者：

Loutfi, Amy ^{[1
]}

Coradeschi, Silvia ^{[1
]}

Mani, Ganesh Kumar ^{[2
]}

Shankar, Prabakaran ^{[2
]}

Rayappan, John Bosco Balaguru ^{[2
]}

机构：

[1] Ctr Appl Autonomous Sensors Syst, Orebro, Sweden

[2] SASTRA Univ, Sch Elect & Elect Engn, Ctr Nanotechnol & Adv Biomat CeNTAB, Thanjavur 613401, India

来源：

JOURNAL OF FOOD ENGINEERING | 2015年 / 144卷

关键词：

Food quality; e-Nose; Metal oxide; Pattern recognition; OPTIMUM FERMENTATION TIME; MASS-SPECTROMETRY; SENSING PROPERTIES; BOAR-TAINT; SPOILAGE CLASSIFICATION; MEAT FRESHNESS; FISH QUALITY; OFF-FLAVORS; THIN-FILM; MILK;

D O I：

10.1016/j.jfoodeng.2014.07.019

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This paper provides a review of the most recent works in electronic noses used in the food industry. Focus is placed on the applications within food quality monitoring that is, meat, milk, fish, tea, coffee and wines. This paper demonstrates that there is a strong commonality between the different application area in terms of the sensors used and the data processing algorithms applied. Further, this paper provides a critical outlook on the developments needed in this field for transitioning from research platforms to industrial instruments applied in real contexts. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：103 / 111

页数：9

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