Microbial detection and identification methods: Bench top assays to omics approaches.
food microbiology
food safety
hyperspectral imaging (HIS)
microbial identification
spectroscopic techniques
Journal
Comprehensive reviews in food science and food safety
ISSN: 1541-4337
Titre abrégé: Compr Rev Food Sci Food Saf
Pays: United States
ID NLM: 101305205
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
30
03
2020
revised:
20
07
2020
accepted:
20
07
2020
entrez:
18
12
2020
pubmed:
19
12
2020
medline:
30
9
2021
Statut:
ppublish
Résumé
Rapid detection of foodborne pathogens, spoilage microbes, and other biological contaminants in complex food matrices is essential to maintain food quality and ensure consumer safety. Traditional methods involve culturing microbes using a range of nonselective and selective enrichment methods, followed by biochemical confirmation among others. The time-to-detection is a key limitation when testing foods, particularly those with short shelf lives, such as fresh meat, fish, dairy products, and vegetables. Some recent detection methods developed include the use of spectroscopic techniques, such as matrix-assisted laser desorption ionization-time of flight along with hyperspectral imaging protocols.This review presents a comprehensive overview comparing insights into the principles, characteristics, and applications of newer and emerging techniques methods applied to the detection and identification of microbes in food matrices, to more traditional benchtop approaches. The content has been developed to provide specialist scientists a broad view of bacterial identification methods available in terms of their benefits and limitations, which may be useful in the development of future experimental design. The case is also made for incorporating some of these emerging methods into the mainstream, for example, underutilized potential of spectroscopic techniques and hyperspectral imaging.
Identifiants
pubmed: 33337061
doi: 10.1111/1541-4337.12618
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
3106-3129Subventions
Organisme : Science Foundation Ireland
ID : ID 15/IA/2984
Pays : Ireland
Informations de copyright
© 2020 Institute of Food Technologists®.
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