•  
  •  
 

Corresponding Author(s)

杨伟强（1986—），男，闽南师范大学副教授，博士。E-mail: yangwq1@163.com

Abstract

This paper introduces the working principle of electronic nose via two key elements including gas sensor array and signal processing. The applications of electronic nose in adulteration identification and quality analysis of edible oil, dairy products, beverage, meat, spices, and other foods are reviewed. The operations and analytical principle of electronic nose for food adulteration are clarified, and the successful applications of electronic nose as well as the shortcomings are discussed.

Publication Date

6-5-2023

First Page

211

Last Page

216,240

DOI

10.13652/j.spjx.1003.5788.2022.80685

References

[1] CHOUDHARY A, GUPTA N, HAMEED F, et al. An overview of food adulteration: Concept, sources, impact, challenges and detection[J]. International Journal of Chemical Studies, 2020, 8（1）: 2 564-2 573.
[2] BANSAL S, SINGH A, MANGAL M, et al. Food adulteration: Sources, health risks, and detection methods[J]. Critical Reviews in Food Science and Nutrition, 2017, 57（6）: 1 174-1 189.
[3] 许文娟, 赵晗, 王洪涛, 等. 电子鼻在食品安全检测领域的研究进展[J]. 食品工业, 2022, 43（2）: 255-259.
[4] AL-DAYYENI W S, AL-YOUSIF S, TAHER M M, et al. A Review on electronic nose: Coherent taxonomy, classification, motivations, challenges, recommendations and datasets[J]. IEEE Access, 2021, 9: 88 535-88 551.
[5] JIA W, LIANG G, JIANG Z, et al. Advances in electronic nose development for application to agricultural products[J]. Food Analytical Methods, 2019, 12（10）: 2 226-2 240.
[6] WASILEWSKI T, MIGON D, GEBICKI J, et al. Critical review of electronic nose and tongue instruments prospects in pharmaceutical analysis[J]. Analytica Chimica Acta, 2019, 1 077: 14-29.
[7] BONAH E, HUANG X, AHETO J H, et al. Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: A review[J]. Journal of Food Science and Technology, 2020, 57（6）: 1 977-1 990.
[8] ALI M M, HASHIM N, ABD AZIZ S, et al. Principles and recent advances in electronic nose for quality inspection of agricultural and food products[J]. Trends in Food Science & Technology, 2020, 99: 1-10.
[9] SANAEIFAR A, ZAKIDIZAJI H, JAFARI A, et al. Early detection of contamination and defect in foodstuffs by electronic nose: A review[J]. TrAC Trends in Analytical Chemistry, 2017, 97: 257-271.
[10] 殷志康, 笪丹丹, 赵迪, 等. 电子鼻在餐厨废弃油脂掺假判别中的应用[J]. 生物加工过程, 2020, 18（4）: 497-504.
[11] 贾茹, 张娟, 王佳奕, 等. 电子鼻结合化学计量法对羊奶中蛋白质掺假的识别[J]. 食品科学, 2017, 38（8）: 308-312.
[12] HONG X, WANG J, QIU S. Authenticating cherry tomato juices: Discussion of different data standardization and fusion approaches based on electronic nose and tongue[J]. Food Research International, 2014, 60: 173-179.
[13] HUANG C, GU Y. A machine learning method for the quantitative detection of adulterated meat using a MOS-based E-nose[J]. Foods, 2022, 11（4）: 602.
[14] 毋思敏, 于淼, 孙二娜, 等. 基于电子鼻与电子舌建立牛奶货架期预测模型[J]. 食品科学, 2022, 43（10）: 302-307.
[15] PENG Q, TIAN R, CHEN F, et al. Discrimination of producing area of Chinese Tongshan kaoliang spirit using electronic nose sensing characteristics combined with the chemometrics methods[J]. Food Chemistry, 2015, 178: 301-305.
[16] ORDUKAYA E, KARLIK B. Fruit juice-alcohol mixture analysis using machine learning and electronic nose[J]. IEEJ Transactions on Electrical and Electronic Engineering, 2016, 11（S1）: 171-176.
[17] 陈芳, 黄玉坤, 苑阳阳, 等. 基于电子鼻无损鉴别掺假蜂蜜[J]. 西华大学学报, 2018, 37（5）: 56-60.
[18] ROY M, MANOJ D, SHANMUGASUNDARAM S, et al. Detection of adulteration in ghee （Clarified butter fat） using electronic nose combined with multivariate analysis[J]. The Pharma Innovation Journal, 2021, 10（9）: 36-43.
[19] 许文娟, 韩芳, 赵晗, 等. 电子鼻结合主成分分析法快速鉴别掺假牛肉[J]. 肉类工业, 2021（10）: 33-35.
[20] HEIDARBEIGI K, MOHTASEBI S S, FOROUGHIRAD A, et al. Detection of adulteration in saffron samples using electronic nose[J]. International Journal of Food Properties, 2014, 18（7）: 1 391-1 401.
[21] HAI Z, WANG J. Detection of adulteration in camellia seed oil and sesame oil using an electronic nose[J]. European Journal of Lipid Science and Technology, 2006, 108（2）: 116-124.
[22] YU H, WANG J, XU Y. Identification of adulterated milk using electronic nose[J]. Sensors and Materials, 2007, 19（5）: 275-285.
[23] SHEN F, WU Q, SU A, et al. Detection of adulteration in freshly squeezed orange juice by electronic nose and infrared spectroscopy[J]. Czech Journal of Food Sciences, 2016, 34（3）: 224-232.
[24] ZAKARIA A, SHAKAFF A Y M, MASNAN M J, et al. A biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration[J]. Sensors, 2011, 11（8）: 7 799-7 822.
[25] TIAN X, WANG J, MA Z, et al. Combination of an E-Nose and an E-Tongue for adulteration detection of minced mutton mixed with pork[J]. Journal of Food Quality, 2019, 2 019: 1-10.
[26] BANACH U, TIEBE C, HBERT T. Multigas sensors for the quality control of spice mixtures[J]. Food Control, 2012, 26（1）: 23-27.
[27] 吴丹丹, 其布勒, 斯仁达来, 等. 电子鼻对驼乳中牛乳掺假的快速检测[J]. 食品工业科技, 2021, 42（11）: 263-267.
[28] WANG Q, LI L, DING W, et al. Adulterant identification in mutton by electronic nose and gas chromatography-mass spectrometer[J]. Food Control, 2019, 98: 431-438.
[29] 王永瑞, 柏霜, 罗瑞明, 等. 基于电子鼻、GC-MS结合化学计量学方法鉴别烤羊肉掺假[J]. 食品科学, 2022, 43（4）: 291-297.
[30] TOHIDI M, GHASEMI-VARNAMKHASTI M, GHAFARINIA V, et al. Identification of trace amounts of detergent powder in raw milk using a customized low-cost artificial olfactory system: A novel method[J]. Measurement, 2018, 124: 120-129.
[31] MAJCHER M A, KACZMAREK A, KLENSPORF-PAWLIK D, et al. SPME-MS-based electronic nose as a tool for determination of authenticity of PDO cheese, oscypek[J]. Food Analytical Methods, 2015, 8（9）: 2 211-2 217.
[32] KIANI S, MINAEI S, GHASEMI-VARNAMKHASTI M. Integration of computer vision and electronic nose as non-destructive systems for saffron adulteration detection[J]. Computers and Electronics in Agriculture, 2017, 141: 46-53.
[33] KARAMI H, RASEKH M, MIRZAEE-GHALEH E. Application of the E-nose machine system to detect adulterations in mixed edible oils using chemometrics methods[J]. Journal of Food Processing and Preservation, 2020, 44（9）: e14696.
[34] AYARI F, MIRZAEE-GHALEH E, RABBANI H, et al. Using an E-nose machine for detection the adulteration of margarine in cow ghee[J]. Journal of Food Process Engineering, 2018, 41（6）: e12806.
[35] PENZA M, CASSANO G. Recognition of adulteration of Italian wines by thin-film multisensor array and artificial neural networks[J]. Analytica Chimica Acta, 2004, 509（2）: 159-177.
[36] RASEKH M, KARAMI H. E-nose coupled with an artificial neural network to detection of fraud in pure and industrial fruit juices[J]. International Journal of Food Properties, 2021, 24（1）: 592-602.
[37] ZAREZADEH M R, ABOONAJMI M, VARNAMKHASTI M G, et al. Olive oil classification and fraud detection using E-nose and ultrasonic system[J]. Food Analytical Methods, 2021, 14（10）: 2 199-2 210.
[38] WEI X, SHAO X, WEI Y, et al. Rapid detection of adulterated peony seed oil by electronic nose[J]. Journal of Food Science and Technology, 2018, 55（6）: 2 152-2 159.
[39] MILDNER-SZKUDLARZ S, JELEN H H. The potential of different techniques for volatile compounds analysis coupled with PCA for the detection of the adulteration of olive oil with hazelnut oil[J]. Food Chemistry, 2008, 110（3）: 751-761.
[40] TIAN H, CHEN B, LOU X, et al. Rapid detection of acid neutralizers adulteration in raw milk using FGC E-nose and chemometrics[J]. Journal of Food Measurement and Characterization, 2022, 16: 2 978-2 988.
[41] SUN X, ZHANG F, GUTIRREZ-GAMBOA G, et al. Real wine or not? Protecting wine with traceability and authenticity for consumers: Chemical and technical basis, technique applications, challenge, and perspectives[J]. Critical Reviews in Food Science and Nutrition, 2022, 62（24）: 6 782-6 808.
[42] 乔淼, 张磊, 母芳林. 基于电子鼻与LightGBM算法判别葡萄酒品种的研究[J]. 食品与机械, 2020, 36（5）: 76-79.
[43] RZANSKA A, DYMERSKI T, NAMIESNIK J. Novel analytical method for detection of orange juice adulteration based on ultra-fast gas chromatography[J]. Monatshefte für Chemie: Chemical Monthly, 2018, 149（9）: 1 615-1 621.
[44] 陈晓明, 初叶心, 乔江涛, 等. 蜂蜜品种识别和掺假鉴别的研究进展[J]. 食品工业, 2021, 41（2）: 225-229.
[45] 李秀, 桑潘婷, ABIOLA D S, 等. 驴腿肉与其他畜腿肉挥发性风味物质差异研究[J]. 食品与机械, 2019, 35（9）: 50-54.
[46] TAHRI K, TIEBE C, BARI N E, et al. Geographical classification and adulteration detection of cumin by using electronic sensing coupled to multivariate analysis[J]. Procedia Technology, 2017, 27: 240-241.

Download

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.