Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review

被引:0
|
作者
Ernest Bonah
Xingyi Huang
Joshua Harrington Aheto
Richard Osae
机构
[1] Jiangsu University,School of Food and Biological Engineering
[2] Food and Drugs Authority,Laboratory Services Department
来源
关键词
Sensors; Pattern recognition; Foodborne pathogens; Volatile organic compounds (VOCs); Electronic nose;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:1977 / 1990
页数:13
相关论文
共 50 条
  • [1] Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review
    Bonah, Ernest
    Huang, Xingyi
    Aheto, Joshua Harrington
    Osae, Richard
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2020, 57 (06): : 1977 - 1990
  • [2] DEVELOPING A NON-INVASIVE TEST FOR PSEUDOMONAS DETECTION: TOWARDS AN ELECTRONIC NOSE
    Savelev, S.
    De Soyza, A.
    Nicholson, A.
    Perry, J.
    Petrie, M.
    Taylor, R.
    Bourke, S. J.
    Fisher, A. J.
    Corris, P. A.
    [J]. THORAX, 2008, 63 : A37 - A38
  • [3] The detection of foodborne bacteria on beef: the application of the electronic nose
    Abdallah, Soad A.
    Al-Shatti, Laila A.
    Alhajraf, Ali F.
    Al-Hammad, Noura
    Al-Awadi, Bashayer
    [J]. SPRINGERPLUS, 2013, 2 : 1 - 9
  • [4] Non-Invasive Detection and Staging of Colorectal Cancer Using a Portable Electronic Nose
    Tyagi, Heena
    Daulton, Emma
    Bannaga, Ayman S.
    Arasaradnam, Ramesh P.
    Covington, James A.
    [J]. SENSORS, 2021, 21 (16)
  • [5] Urine Odor Detection by Electronic Nose for Smart Toilet Application
    Choden, Phuntsho
    Seesaard, Thara
    Dorji, Ugyen
    Sriphrapradang, Chutintorn
    Kerdcharoen, Teerakiat
    [J]. 2017 14TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2017, : 190 - 193
  • [6] NON-INVASIVE SCREENING FOR BARRETT'S ESOPHAGUS USING AN ELECTRONIC NOSE
    Genere, Juan Reyes
    Visrodia, Kavel
    Zakko, Liam
    Linn, Bryan
    Clemens, Magdalen A.
    Allen, James
    Lutzke, Lori S.
    Wang, Kenneth K.
    [J]. GASTROENTEROLOGY, 2019, 156 (06) : S287 - S288
  • [7] Towards the Non-Invasive Detection of Colorectal Cancer: The Role of Electronic Noses (E-Nose) and Faims
    Covington, James
    Westenbrink, Eric W.
    O'Connell, Nicola C.
    Bailey, Catherine
    Thomas, Mathew
    Nwokolo, Chuka
    Harmston, Chris
    Bardhan, Karna D.
    Arasaradnam, Ramesh
    [J]. GASTROENTEROLOGY, 2013, 144 (05) : S879 - S879
  • [8] Non-invasive Detection of Bladder Tumors Through Volatile Organic Compounds: A Pilot Study with an Electronic Nose
    Heers, Hendrik
    Gut, Josef Maximilian
    Hegele, Axel
    Hofmann, Rainer
    Boeselt, Tobias
    Hattesohl, Akira
    Koczulla, Andreas Rembert
    [J]. ANTICANCER RESEARCH, 2018, 38 (02) : 833 - 837
  • [9] Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose
    Hendrick, Hendrick
    Hidayat, Rahmat
    Horng, Gwo-Jiun
    Wang, Zhi-Hao
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (09) : 11184 - 11191
  • [10] Non-Invasive Diagnostic Approaches for Kidney Disease: The Role of Electronic Nose Systems
    Sansone, Francesco
    Tonacci, Alessandro
    [J]. Sensors, 2024, 24 (19)