Molecularly Imprinting-Aptamer Techniques and Their Applications in Molecular Recognition.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
29 Jul 2022
Historique:
received: 24 06 2022
revised: 24 07 2022
accepted: 26 07 2022
entrez: 25 8 2022
pubmed: 26 8 2022
medline: 27 8 2022
Statut: epublish

Résumé

Molecular imprinting-aptamer techniques exhibit the advantages of molecular imprinting and aptamer technology. Hybrids of molecularly imprinted polymer-aptamer (MIP-aptamer) prepared by this technique have higher stability, binding affinity and superior selectivity than conventional molecularly imprinted polymers or aptamers. In recent years, molecular imprinting-aptamer technologies have attracted considerable interest for the selective recognition of target molecules in complex sample matrices and have been used in molecular recognition such as antibiotics, proteins, viruses and pesticides. This review introduced the development of molecular imprinting-aptamer-combining technologies and summarized the mechanism of MIP-aptamer formation. Meanwhile, we discussed the challenges in preparing MIP-aptamer. Finally, we summarized the application of MIP-aptamer to the molecular recognition in disease diagnosis, environmental analysis, food safety and other fields.

Identifiants

pubmed: 36004972
pii: bios12080576
doi: 10.3390/bios12080576
pmc: PMC9406215
pii:
doi:

Substances chimiques

Aptamers, Nucleotide 0
Polymers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : 21565018

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Auteurs

Qingqing Zhou (Q)

Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.

Zhigang Xu (Z)

Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.

Zhimin Liu (Z)

Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.

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Classifications MeSH