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Electrochemical and Optical Biosensors for the Detection of Campylobacter and Listeria: An Update Look.
Vizzini, Priya; Braidot, Matteo; Vidic, Jasmina; Manzano, Marisa.
Afiliação
  • Vizzini P; Department of Agriculture Food Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy.
  • Braidot M; Department of Agriculture Food Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy.
  • Vidic J; Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78352 Jouy-en-Josas, France.
  • Manzano M; Department of Agriculture Food Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy. marisa.manzano@uniud.it.
Micromachines (Basel) ; 10(8)2019 Jul 27.
Article em En | MEDLINE | ID: mdl-31357655
ABSTRACT
Foodborne safety has aroused tremendous research interest in recent years because of a global public health problem. The rapid and precise detection of foodborne pathogens can reduce significantly infection diseases and save lives by the early initiation of an effective treatment. This review highlights current advances in the development of biosensors for detection of Campylobacter spp. and Listeria monocytogenes that are the most common causes of zoonosis. The consumption of pathogen contaminated food is responsible for humans hospitalization and death. The attention focused on the recognition elements such as antibodies (Ab), DNA probes and aptamers able to recognize cells, amplicons, and specific genes from different samples like bacteria, food, environment and clinical samples. Moreover, the review focused on two main signal-transducing mechanisms, i.e., electrochemical, measuring an amperometric, potentiometric and impedimetric signal; and optical, measuring a light signal by OLED (Organic Light Emitting Diode), SPR (Surface Plasmon Resonance), and Optical fiber. We expect that high-performance of devices being developed through basic research will find extensive applications in environmental monitoring, biomedical diagnostics, and food safety.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND