A new di-recognition and di-functional nanosurface aptamer molecularly imprinted polymer probe for trace glyphosate with SERS/RRS/Abs trimode technique.

Aptamer Glyphosate Nanocatalytic amplification Naosurface molecularly imprinted polymer RRS SERS

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
10 Jun 2024
Historique:
received: 01 11 2023
revised: 30 04 2024
accepted: 06 06 2024
medline: 14 6 2024
pubmed: 14 6 2024
entrez: 13 6 2024
Statut: aheadofprint

Résumé

A new di-recognition nitrogen-doped carbon dot nanosurface aptamer molecularly imprinted polymer (CD

Identifiants

pubmed: 38870829
pii: S0956-5663(24)00492-5
doi: 10.1016/j.bios.2024.116487
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116487

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest Authors declare that they have no financial or personal conflicts of interest related to this research. We guarantee that this research is original and has not been published or submitted for publication elsewhere.

Auteurs

Xue He (X)

School of Public Health, Guilin Medical University, Guilin, 541199, China; Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin, 541006, China.

Yingying He (Y)

School of Public Health, Guilin Medical University, Guilin, 541199, China; Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin, 541006, China.

Chongning Li (C)

School of Public Health, Guilin Medical University, Guilin, 541199, China; Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin, 541006, China. Electronic address: lcn7882342@163.com.

Zhiliang Jiang (Z)

Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin, 541006, China. Electronic address: zljiang@mailbox.gxnu.edu.cn.

Classifications MeSH