Electrospun Nanofiber-Based Biosensors for Foodborne Bacteria Detection.


Journal

Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009

Informations de publication

Date de publication:
17 Sep 2024
Historique:
received: 27 08 2024
revised: 09 09 2024
accepted: 15 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Food contamination has emerged as a significant global health concern, posing substantial challenges to the food industry. Bacteria are the primary cause of foodborne diseases. Consequently, it is crucial to develop accurate and efficient sensing platforms to detect foodborne bacteria in food products. Among various detection methods, biosensors have emerged as a promising solution due to their portability, affordability, simplicity, selectivity, sensitivity, and rapidity. Electrospun nanofibers have gained increasing popularity in enhancing biosensor performance. These nanofibers possess a distinctive three-dimensional structure, providing a large surface area and ease of preparation. This review provides an overview of the electrospinning technique, nanofibers and nanofiber-based biosensors. It also explores their mechanisms and applications in the detection of foodborne bacteria such as

Identifiants

pubmed: 39339410
pii: molecules29184415
doi: 10.3390/molecules29184415
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : UBC Faculty of Land and Food Systems/Start Up Funds
ID : AWD-020249 UBCLANDF 2022
Organisme : Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants Pro-gram
ID : RGPIN-2023-04100
Organisme : NSERC Discovery Grants Program-Discovery Launch Supplement
ID : DGECR-2023-00386
Organisme : Canada Foundation for Innovation and John R. Evans Leaders Fund
ID : CFI-JELF #44768
Organisme : British Columbia Knowledge Development Fund
ID : BCKDF

Auteurs

Haoming Yang (H)

Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Song Yan (S)

Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Tianxi Yang (T)

Food, Nutrition and Health, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

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Classifications MeSH