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Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies.
Paniel, Nathalie; Noguer, Thierry.
Afiliação
  • Paniel N; Laboratoire BAE, Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan, France. npaniel@ctcpa.org.
  • Noguer T; Unité EMaiRIT'S, Centre Technique de la Conservation des Produits Agricoles (CTCPA), Site Agroparc, 449 Avenue Clément Ader, BP21203, 84911 Avignon, France. npaniel@ctcpa.org.
Foods ; 8(9)2019 Sep 01.
Article em En | MEDLINE | ID: mdl-31480504
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Foods Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Foods Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França