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J Food Sci Technol


Title:Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review
Author(s):Bonah E; Huang X; Aheto JH; Osae R;
Address:"1School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang, 212013 Jiangsu People's Republic of China. GRID: grid.440785.a. ISNI: 0000 0001 0743 511X Laboratory Services Department, Food and Drugs Authority, P. O. Box CT 2783, Cantonments - Accra, Ghana"
Journal Title:J Food Sci Technol
Year:2020
Volume:20191105
Issue:6
Page Number:1977 - 1990
DOI: 10.1007/s13197-019-04143-4
ISSN/ISBN:0022-1155 (Print) 0975-8402 (Electronic) 0022-1155 (Linking)
Abstract:"Food safety issues across the global food supply chain have become paramount in promoting public health safety and commercial success of global food industries. As food regulations and consumer expectations continue to advance around the world, notwithstanding the latest technology, detection tools, regulations and consumer education on food safety and quality, there is still an upsurge of foodborne disease outbreaks across the globe. The development of the Electronic nose as a noninvasive technique suitable for detecting volatile compounds have been applied for food safety and quality analysis. Application of E-nose for pathogen detection has been successful and superior to conventional methods. E-nose offers a method that is noninvasive, fast and requires little or no sample preparation, thus making it ideal for use as an online monitoring tool. This manuscript presents an in-depth review of the application of electronic nose (E-nose) for food safety, with emphasis on classification and detection of foodborne pathogens. We summarise recent data and publications on foodborne pathogen detection (2006-2018) and by E-nose together with their methodologies and pattern recognition tools employed. E-nose instrumentation, sensing technologies and pattern recognition models are also summarised and future trends and challenges, as well as research perspectives, are discussed"
Keywords:Electronic nose Foodborne pathogens Pattern recognition Sensors Volatile organic compounds (VOCs);
Notes:"PubMed-not-MEDLINEBonah, Ernest Huang, Xingyi Aheto, Joshua Harrington Osae, Richard eng Review India 2020/05/21 J Food Sci Technol. 2020 Jun; 57(6):1977-1990. doi: 10.1007/s13197-019-04143-4. Epub 2019 Nov 5"

 
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