Next Article in Journal
Antibiotic Resistant Pseudomonas Spp. Spoilers in Fresh Dairy Products: An Underestimated Risk and the Control Strategies
Previous Article in Journal
Comprehensive Nutrition Review of Grain-Based Muesli Bars in Australia: An Audit of Supermarket Products
Open AccessReview

Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies

by Nathalie Paniel 1,2,* and Thierry Noguer 1,3,*
1
Laboratoire BAE, Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan, France
2
Unité EMaiRIT’S, Centre Technique de la Conservation des Produits Agricoles (CTCPA), Site Agroparc, 449 Avenue Clément Ader, BP21203, 84911 Avignon, France
3
Laboratoire de Biodiversité et Biotechnologies Microbiennes, USR 3579, Sorbonne Universités (UPMC) Paris 6 et CNRS, Observatoire Océanologique, 66650 Banyuls-sur-Mer, France
*
Authors to whom correspondence should be addressed.
Foods 2019, 8(9), 371; https://doi.org/10.3390/foods8090371
Received: 16 July 2019 / Revised: 20 August 2019 / Accepted: 26 August 2019 / Published: 1 September 2019
(This article belongs to the Section Food Analytical Methods)
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. View Full-Text
Keywords: Salmonella; food matrices; aptamers; biosensors; standard methods Salmonella; food matrices; aptamers; biosensors; standard methods
Show Figures

Figure 1

MDPI and ACS Style

Paniel, N.; Noguer, T. Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies. Foods 2019, 8, 371.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop