A nonenzymic microfiber optic-biosensor modified phenylboric acid for sensitively and specifically detecting low glucose concentration.

Glucose concentration Human urine Microfiber interferometer Nonenzymic detection Strong specificity

Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 29 04 2023
revised: 11 07 2023
accepted: 24 07 2023
medline: 20 9 2023
pubmed: 6 8 2023
entrez: 5 8 2023
Statut: ppublish

Résumé

A microfiber interferometer coated with sensitive films formed by amide bond between 3-Carboxy-4-fluorophenylboronic acid (FPBA) and polydopamine (PDA) for the detection of trace glucose concentration is designed and demonstrated. Due to a huge evanescent field, this microfiber interferometer has a very sensitive response to the refractive index (RI) of the surrounding environment, which has excellent sensing performance including RI sensitivity response of 1825.83 nm/RIU and low temperature response of -0.04 nm/°C. Due to the good film-forming performance of PDA, whose the amino group coupled with the carboxyl molecule on FPBA to form an amide bond, PDA/FPBA can be attached to the microfiber interferometer for detecting different concentrations of glucose. The concentration range of glucose detection is 0.1-20 mM with a sensitivity of 1.71 nm/mM and a limit of detection of 12.6 ppm. Finally, the sensor is tested in actual samples of human urine to detect different concentrations of glucose and proved to be responsive and reproducible in urine. We can estimate the concentration of glucose in urine by wavelength shift. The sensor has the advantages of simple manufacture, low cost, high sensitivity, and specific recognition glucose in urine. In addition, the success of this sensor shows that the combination of ultrafine fiber and organic chemical materials has broad prospects in the field of optical detection.

Identifiants

pubmed: 37542870
pii: S1386-1425(23)00882-X
doi: 10.1016/j.saa.2023.123197
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123197

Informations de copyright

Copyright © 2023 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

Chenfei Ma (C)

School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China.

Kang Sun (K)

School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China.

Guoquan Wang (G)

School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China.

Guanjun Wang (G)

School of Information and Communication Engineering, Hainan University, Haikou 570228, China.

Dandan Sun (D)

School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China. Electronic address: sundd@sxu.edu.cn.

Jie Ma (J)

School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, China. Electronic address: mj@sxu.edu.cn.

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Classifications MeSH