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A selective LSPR biosensor for molecular-level glycated albumin detection.
Mondal, Himadri Shekhar; Hossain, Md Zakir; Birbilis, Nick.
Afiliação
  • Mondal HS; School of Engineering, ANU College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT 2601, Australia.
  • Hossain MZ; School of Engineering, ANU College of Engineering, Computing and Cybernetics, The Australian National University, Canberra, ACT 2601, Australia.
  • Birbilis N; School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia.
Heliyon ; 9(12): e22795, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38125431
ABSTRACT
A biosensor specifically engineered to detect glycated albumin (GA), a critical biomarker for diabetes monitoring, is presented. Unlike conventional GA monitoring methods, the biosensor herein uniquely employs localised surface plasmon resonance (LSPR) for signal transduction, leveraging a novel fabrication process where gold nanoparticles are deposited on a quartz substrate using flame spray pyrolysis. This enables the biosensor to provide mean glucose levels over a three-week period, correlating with the glycation status of diabetes patients. The sensor's DNA aptamer conjugation selectively binds GA, inducing a plasmonic wavelength shift; resulting in a detection limit of 0.1 µM, well within the human GA range of 20-240 µM. Selectivity experiments with diverse molecules and an exploration of sensor reusability were carried out with positive results. The novelty of the biosensor presented includes specificity, sensitivity and practical applicability; which is promising for enhanced diabetes diagnosis using a rapid and inexpensive process.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article