Recent Advances of Biosensors for Detection of Multiple Antibiotics.
antibiotics
artificial intelligence
nanomaterials
simultaneous detection
Journal
Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191
Informations de publication
Date de publication:
26 Aug 2023
26 Aug 2023
Historique:
received:
26
07
2023
revised:
24
08
2023
accepted:
24
08
2023
medline:
28
9
2023
pubmed:
27
9
2023
entrez:
27
9
2023
Statut:
epublish
Résumé
The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are widely used in the field of antibiotic detection because of their high specificity. Advanced artificial intelligence/machine learning algorithms have allowed for remarkable achievements in image analysis and face recognition, but have not yet been widely used in the field of biosensors. Herein, this paper reviews the biosensors that have been widely used in the simultaneous detection of multiple antibiotics based on different detection mechanisms and biorecognition elements in recent years, and compares and analyzes their characteristics and specific applications. In particular, this review summarizes some AI/ML algorithms with excellent performance in the field of antibiotic detection, and which provide a platform for the intelligence of sensors and terminal apps portability. Furthermore, this review gives a short review of biosensors for the detection of multiple antibiotics.
Identifiants
pubmed: 37754084
pii: bios13090850
doi: 10.3390/bios13090850
pmc: PMC10526323
pii:
doi:
Substances chimiques
Anti-Bacterial Agents
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Natural Science Foundation of China
ID : 61871165
Organisme : Zhejiang Provincial Natural Science Foundation of China
ID : LY23F010008
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