Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50016845" target="_blank" >RIV/62690094:18450/20:50016845 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/20/7/1966" target="_blank" >https://www.mdpi.com/1424-8220/20/7/1966</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s20071966" target="_blank" >10.3390/s20071966</a>

Result language

angličtina

Original language name

Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens

Original language description

The intake of microbial-contaminated food poses severe health issues due to the outbreaks of stern food-borne diseases. Therefore, there is a need for precise detection and identification of pathogenic microbes and toxins in food to prevent these concerns. Thus, understanding the concept of biosensing has enabled researchers to develop nanobiosensors with different nanomaterials and composites to improve the sensitivity as well as the specificity of pathogen detection. The application of nanomaterials has enabled researchers to use advanced technologies in biosensors for the transfer of signals to enhance their efficiency and sensitivity. Nanomaterials like carbon nanotubes, magnetic and gold, dendrimers, graphene nanomaterials and quantum dots are predominantly used for developing biosensors with improved specificity and sensitivity of detection due to their exclusive chemical, magnetic, mechanical, optical and physical properties. All nanoparticles and new composites used in biosensors need to be classified and categorized for their enhanced performance, quick detection, and unobtrusive and effective use in foodborne analysis. Hence, this review intends to summarize the di fferent sensing methods used in foodborne pathogen detection, their design, working principle and advances in sensing systems.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

19

Pages from-to

"Article Number: 1966"

UT code for WoS article

000537110500162

EID of the result in the Scopus database

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