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Hydrogen peroxide and glucose detection using surface plasmon resonance imaging biosensor with corrodible silver thin film.
Sadeghi, Sara; Mohammadimasoudi, Mohammad; Mehrzad, Hossein; Goudarzi, Ali.
Afiliação
  • Sadeghi S; Nano-bio-photonics Lab, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
  • Mohammadimasoudi M; Nano-bio-photonics Lab, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran. Electronic address: Mo.masoudi@ut.ac.ir.
  • Mehrzad H; Nano-bio-photonics Lab, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
  • Goudarzi A; Nano-bio-photonics Lab, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
Talanta ; 279: 126593, 2024 Jul 20.
Article em En | MEDLINE | ID: mdl-39053358
ABSTRACT
A surface plasmon resonance imaging (SPRI)-based biosensor is demonstrated for the detection of both hydrogen peroxide (H2O2) and glucose. The H2O2 to be detected acts as an oxidant and etch the silver film. This process gradually effects on resonance condition and consequently the reflected light intensity at a fixed angle. The etching rate of the silver film shows a clear relation with the H2O2 concentration. Therefore, monitoring the reflected light intensity progressively changing over a few minutes, enables accurate detection of H2O2 concentrations ranging from 0 to 200 µM (within physiological range of 0.25-50 µM), with a remarkable limit of detection (LOD) as low as 40 nM. In this regard, the behavior of the surface plasmon resonance (SPR) dip in response to the reduction of the silver film thickness is predicted by Winspall simulation software. These simulation results are in good agreement with the experimental results. Moreover, the proposed method can be applied to determine glucose concentrations ranging from 0 to 10 mM, encompassing the physiological range of 3-8 mM. This is achieved by observing the generated H2O2 through the enzymatic oxidation reaction between glucose and glucose oxidase (Gox). The sensor demonstrates remarkable sensitivity and selectivity, with a detection limit as low as 175 µM for glucose concentration. Furthermore, accurate measurement of glucose concentration in an actual human serum sample is achievable with the proposed sensor, using the standard addition method. The suggested glucose sensor shows promising prospects for use in routine glucose testing, employing a label-free, real-time, and multiplex detection approach.© 2017 Elsevier Inc. All rights reserved.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article