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
收藏
页码：257 / 271
页数：15
相关论文
共 121 条
[31]   The evaluation of quality of post-harvest oranges and apples by means of an electronic nose [J].
Di Natale, C ;
Macagnano, A ;
Martinelli, E ;
Paolesse, R ;
Proietti, E ;
D'Amico, A .
SENSORS AND ACTUATORS B-CHEMICAL, 2001, 78 (1-3) :26-31
[32]   A surface acoustic wave bio-electronic nose for detection of volatile odorant molecules [J].
Di Pietrantonio, F. ;
Benetti, M. ;
Cannata, D. ;
Verona, E. ;
Palla-Papavlu, A. ;
Fernandez-Pradas, J. M. ;
Serra, P. ;
Staiano, M. ;
Varriale, A. ;
D'Auria, S. .
BIOSENSORS & BIOELECTRONICS, 2015, 67 :516-523
[33]   Fusion of electronic nose, electronic tongue and computer vision for animal source food authentication and quality assessment - A review [J].
Di Rosa, Ambra Rita ;
Leone, Francesco ;
Cheli, Federica ;
Chiofalo, Vincenzo .
JOURNAL OF FOOD ENGINEERING, 2017, 210 :62-75
[34]   ELECTRONIC NOSE APPLICATION FOR THE DETERMINATION OF PENICILLIN G IN SAANEN GOAT MILK WITH FISHER DISCRIMINATE AND MULTILAYER PERCEPTRON NEURAL NETWORK ANALYSES [J].
Ding, Wu ;
Zhang, Yao ;
Kou, Liping ;
Jurick, Wayne M., II .
JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2015, 39 (06) :927-932
[35]   Invited Review Article: An odor-sensing system-powerful technique for foodstuff studies [J].
Dymerski, T. M. ;
Chmiel, T. M. ;
Wardencki, W. .
REVIEW OF SCIENTIFIC INSTRUMENTS, 2011, 82 (11)
[36]   Electronic nose based on metal oxide semiconductor sensors as an alternative technique for the spoilage classification of red meat [J].
El Barbri, Noureddine ;
Llobet, Eduard ;
El Bari, Nezha ;
Correig, Xavier ;
Bouchikhi, Benachir .
SENSORS, 2008, 8 (01) :142-156
[37]   Detection of mastitic milk using a gas-sensor array system (electronic nose) [J].
Eriksson, Å ;
Waller, KP ;
Svennersten-Sjaunja, K ;
Haugen, JE ;
Lundby, F ;
Lind, O .
INTERNATIONAL DAIRY JOURNAL, 2005, 15 (12) :1193-1201
[38]   Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data [J].
Evans, P ;
Persaud, KC ;
McNeish, AS ;
Sneath, RW ;
Hobson, N ;
Magan, N .
SENSORS AND ACTUATORS B-CHEMICAL, 2000, 69 (03) :348-358
[39]   Detection of toxigenic strains of Fusarium verticillioides in corn by electronic olfactory system [J].
Falasconi, M ;
Gobbi, E ;
Pardo, M ;
Della Torre, M ;
Bresciani, A ;
Sberveglieri, G .
SENSORS AND ACTUATORS B-CHEMICAL, 2005, 108 (1-2) :250-257
[40]   Electronic Nose for Microbiological Quality Control of Food Products [J].
Falasconi, M. ;
Concina, I. ;
Gobbi, E. ;
Sberveglieri, V. ;
Pulvirenti, A. ;
Sberveglieri, G. .
INTERNATIONAL JOURNAL OF ELECTROCHEMISTRY, 2012, 2012
12345678910