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Recent Developments in Lateral Flow Assays for Salmonella Detection in Food Products: A Review.
Silva, Gabrielle B L; Campos, Fabiana V; Guimarães, Marco C C; Oliveira, Jairo P.
Afiliação
  • Silva GBL; Morphology Department, Health Sciences Center, Federal University of Espírito Santo, Av Marechal Campos 1468, Vitória 29040-090, Brazil.
  • Campos FV; Morphology Department, Health Sciences Center, Federal University of Espírito Santo, Av Marechal Campos 1468, Vitória 29040-090, Brazil.
  • Guimarães MCC; Morphology Department, Health Sciences Center, Federal University of Espírito Santo, Av Marechal Campos 1468, Vitória 29040-090, Brazil.
  • Oliveira JP; Morphology Department, Health Sciences Center, Federal University of Espírito Santo, Av Marechal Campos 1468, Vitória 29040-090, Brazil.
Pathogens ; 12(12)2023 Dec 13.
Article em En | MEDLINE | ID: mdl-38133324
ABSTRACT
Salmonellosis is a disease transmitted by contaminated food and is one of the leading causes of infections worldwide, making the early detection of Salmonella of crucial importance for public health. However, current detection methods are laborious and time-consuming, thus impacting the entire food supply chain and leading to production losses and economic sanctions. To mitigate these issues, a number of different biosensors have been developed, including lateral flow assays (LFAs), which have emerged as valuable tools in pathogen detection due to their portability, ease of use, time efficiency, and cost effectiveness. The performance of LFAs has been considerably enhanced by the development of new nanomaterials over the years. In this review, we address the principles and formats of the assay and discuss future prospects and challenges with an emphasis on LFAs developed for the detection of different Salmonella serovars in food.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pathogens Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pathogens Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça