Advanced molecular recognition of 3-nitro-L-tyrosine: The use of zwitterion embedded molecularly imprinted mesoporous organosilica with sub-nanomolar sensitivity.


Journal

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

Informations de publication

Date de publication:
15 Jul 2020
Historique:
received: 17 10 2019
revised: 31 03 2020
accepted: 13 04 2020
pubmed: 28 4 2020
medline: 7 4 2021
entrez: 28 4 2020
Statut: ppublish

Résumé

Fabricating a state-of-the-art system capable of probing any chosen target molecule with a high degree of selectivity is the foremost objective of molecular recognition materials. In this paper, we developed a versatile target-probe utilizing zwitterion embedded molecularly imprinted mesoporous organosilica to fill the gap in our current capabilities. Graphene quantum dots were encapsulated as a signal transducer to prepare the fluorescent probe (NTIMO-zQ), and the concentration-dependent emission change was analyzed by adding 3-nitro-L-tyrosine (NT). The NTIMO-zQ showed an unprecedented degree of fluorescence quenching which also exhibited a sub-nanomolar sensitivity for NT; proving itself to be the most sensitive NT probe reported to date. By investigating the sigmoidal fitting of this quenching behavior, the selectivity performance can be quantitatively analyzed; and the resulting measurements are taken to determine the effective concentration (EC

Identifiants

pubmed: 32339152
pii: S0956-5663(20)30213-X
doi: 10.1016/j.bios.2020.112216
pii:
doi:

Substances chimiques

Fluorescent Dyes 0
3-nitrotyrosine 3604-79-3
Tyrosine 42HK56048U
Silicon Dioxide 7631-86-9
Graphite 7782-42-5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112216

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Youngdo Kim (Y)

Biosensor Group, Korea Institute of Science and Technology Europe, Campus E7-1, 66123, Saarbrücken, Germany. Electronic address: swataaa@snu.ac.kr.

Jaeho Lee (J)

Biosensor Group, Korea Institute of Science and Technology Europe, Campus E7-1, 66123, Saarbrücken, Germany. Electronic address: jaeho.lee@kist-europe.de.

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Classifications MeSH