A Novel Polyurethane-Based Polyion Complex Material with Tunable Selectivity against Interferents for Selective Dopamine Determination.


Journal

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

Informations de publication

Date de publication:
09 Jun 2023
Historique:
received: 28 04 2023
revised: 06 06 2023
accepted: 06 06 2023
medline: 29 6 2023
pubmed: 27 6 2023
entrez: 27 6 2023
Statut: epublish

Résumé

Polyion complex (PIC) materials have been widely used in biosensors due to their molecular selectivity. However, achieving both widely controllable molecular selectivity and long-term solution stability with traditional PIC materials has been challenging due to the different molecular structures of polycations (poly-C) and polyanions (poly-A). To address this issue, we propose a novel polyurethane (PU)-based PIC material in which the main chains of both poly-A and poly-C are composed of PU structures. In this study, we electrochemically detect dopamine (DA) as the analyte and L-ascorbic acid (AA) and uric acid (UA) as the interferents to evaluate the selective property of our material. The results show that AA and UA are significantly eliminated, while DA can be detected with a high sensitivity and selectivity. Moreover, we successfully tune the sensitivity and selectivity by changing the poly-A and poly-C ratios and adding nonionic polyurethane. These excellent results were employed in the development of a highly selective DA biosensor with a detection range from 500 nM to 100 μM and a 3.4 μM detection limit. Overall, our novel PIC-modified electrode has the potential to advance biosensing technologies for molecular detection.

Identifiants

pubmed: 37367003
pii: bios13060638
doi: 10.3390/bios13060638
pmc: PMC10295945
pii:
doi:

Substances chimiques

Dopamine VTD58H1Z2X
Polyurethanes 0
Ascorbic Acid PQ6CK8PD0R
Uric Acid 268B43MJ25

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Anal Chim Acta. 2008 Nov 23;629(1-2):136-44
pubmed: 18940330
Biosens Bioelectron. 2006 May 15;21(11):2121-8
pubmed: 16297613
Anal Biochem. 2008 Apr 1;375(1):141-3
pubmed: 18241664
Biosens Bioelectron. 1998 Oct 1;13(7-8):809-15
pubmed: 9828376
Biomacromolecules. 2020 Mar 9;21(3):1222-1233
pubmed: 32022540
Biosens Bioelectron. 2017 Nov 15;97:196-202
pubmed: 28599179
Bioconjug Chem. 1999 Sep-Oct;10(5):851-60
pubmed: 10502353
Science. 1949 Nov 25;110(2865):552-4
pubmed: 17772474
Adv Mater. 2018 May;30(18):e1706237
pubmed: 29543353
ACS Nano. 2014 Sep 23;8(9):8979-91
pubmed: 25133608

Auteurs

Zixin Zhang (Z)

Advanced Science Research Laboratory, Saitama Institute of Technology, 1690, Fusaiji, Fukaya, Saitama 369-0293, Japan.

Hongchen Guo (H)

Department of Life Science and Green Chemistry, Graduate School of Engineering, Saitama Institute of Technology, 1690, Fusaiji, Fukaya, Saitama 369-0293, Japan.

Yuugo Hirai (Y)

Department of Life Science and Green Chemistry, Graduate School of Engineering, Saitama Institute of Technology, 1690, Fusaiji, Fukaya, Saitama 369-0293, Japan.

Katsunori Takeda (K)

R&D Headquarters, DKS Co., Ltd., 5 Ogawara, Kisshoin, Minami, Kyoto 601-8391, Japan.

Chiho Asai (C)

R&D Headquarters, DKS Co., Ltd., 5 Ogawara, Kisshoin, Minami, Kyoto 601-8391, Japan.

Naohiro Takamura (N)

R&D Headquarters, DKS Co., Ltd., 5 Ogawara, Kisshoin, Minami, Kyoto 601-8391, Japan.

Osamu Niwa (O)

Advanced Science Research Laboratory, Saitama Institute of Technology, 1690, Fusaiji, Fukaya, Saitama 369-0293, Japan.

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Classifications MeSH