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Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies
- Source :
- Foods, Vol 8, Iss 9, p 371 (2019), Foods, Foods, MDPI, 2019, 8 (9), pp.371. ⟨10.3390/foods8090371⟩
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- International audience; Rapid detection of the foodborne pathogen Salmonella in food processing is of crucial importance to prevent food outbreaks and to ensure consumer safety. Detection and quantification of Salmonella species in food samples is routinely performed using conventional culture-based techniques, which are labor intensive, involve well-trained personnel, and are unsuitable for on-site and high-throughput analysis. To overcome these drawbacks, many research teams have developed alternative methods like biosensors, and more particularly aptasensors, were a nucleic acid is used as biorecognition element. The increasing interest in these devices is related to their high specificity, convenience, and relative rapid response. This review aims to present the advances made in these last years in the development of biosensors for the detection and the quantification of Salmonella, highlighting applications on meat from the chicken food chain.
- Subjects :
- Salmonella
[SDV.BIO]Life Sciences [q-bio]/Biotechnology
Health (social science)
Computer science
Aptamer
aptamers
Plant Science
medicine.disease_cause
lcsh:Chemical technology
01 natural sciences
Health Professions (miscellaneous)
Microbiology
Consumer safety
03 medical and health sciences
Food chain
food matrices
[SDV.IDA]Life Sciences [q-bio]/Food engineering
medicine
lcsh:TP1-1185
Rapid response
0303 health sciences
Salmonella species
Foodborne pathogen
030306 microbiology
business.industry
010401 analytical chemistry
biosensors
standard methods
0104 chemical sciences
Food processing
Biochemical engineering
business
Food Science
Subjects
Details
- Language :
- English
- ISSN :
- 23048158
- Volume :
- 8
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Foods
- Accession number :
- edsair.doi.dedup.....a120d0f6894a1425718dc32a417e8e10
- Full Text :
- https://doi.org/10.3390/foods8090371⟩