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Engineering of a Bacterial Biosensor for the Detection of Chlorate in Food.
Vergnes, Alexandra; Becam, Jérôme; Loiseau, Laurent; Ezraty, Benjamin.
Afiliação
  • Vergnes A; Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France.
  • Becam J; Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France.
  • Loiseau L; Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France.
  • Ezraty B; Aix-Marseille University, CNRS, Laboratoire de Chimie Bactérienne, Institut de Microbiologie de la Méditerranée, 13009 Marseille, France.
Biosensors (Basel) ; 13(6)2023 Jun 06.
Article em En | MEDLINE | ID: mdl-37366994
Chlorate can contaminate food due to the use of chlorinated water for processing or equipment disinfection. Chronic exposure to chlorate in food and drinking water is a potential health concern. The current methods for detecting chlorate in liquids and foods are expensive and not easily accessible to all laboratories, highlighting an urgent need for a simple and cost-effective method. The discovery of the adaptation mechanism of Escherichia coli to chlorate stress, which involves the production of the periplasmic Methionine Sulfoxide Reductase (MsrP), prompted us to use an E. coli strain with an msrP-lacZ fusion as a biosensor for detecting chlorate. Our study aimed to optimize the bacterial biosensor's sensitivity and efficiency to detect chlorate in various food samples using synthetic biology and adapted growth conditions. Our results demonstrate successful biosensor enhancement and provide proof of concept for detecting chlorate in food samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Escherichia coli Tipo de estudo: Diagnostic_studies Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Escherichia coli Tipo de estudo: Diagnostic_studies Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França