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Non-enzymatic cholesterol biosensor: Electrochemical sensing based on peptide-polylactic acid thin film. | LitMetric

Non-enzymatic cholesterol biosensor: Electrochemical sensing based on peptide-polylactic acid thin film.

Int J Biol Macromol

Biochemistry and Molecular Biology Unit, Department of Bioscience and Technology for Food, Agriculture and Environment - University of Teramo, Campus "Aurelio Saliceti" Via Renato Balzarini n. 1, 2, 64100 Teramo, Italy. Electronic address:

Published: November 2024

Cholesterol is a fundamental lipid prevalent in eukaryotic cell membranes and circulating in the bloodstream bound to lipoproteins. It serves as a precursor to steroid hormones and is regarded as a biomarker for cardiovascular disease and other metabolic disorders. Numerous cholesterol detection methods predominantly rely on enzymes, which suffer from instability, leading to non-cost-effective biosensors with low sensitivity and poor reusability. Therefore, monitoring cholesterol levels with a feasible, rapid, and stable biosensor is critical for diagnosing and treating various disorders. This study aimed to develop a non-enzymatic cholesterol biosensor based on a selected cholesterol recognition peptide as the detection element. Screen-printed carbon electrodes (SPEs) modified with biocompatible poly-L-lactic acid (PLLA) porous nanomembranes (NMs) were utilized as support for the covalent immobilization of the peptide. Data obtained from electrochemical impedance spectroscopy (EIS) demonstrated the peptide's effective binding affinity towards cholesterol, paving the way for its implementation. The determination of cholesterol with the proposed biosensor exhibited a low limit of detection of 6.31 μM with linear responses ranging from 2-15 μM and 20-40 μM. These findings present an alternative method for cholesterol sensing by integrating novel peptides as biorecognition motifs with biocompatible polymeric materials, potentially useful as biocompatible and future point-of-care sensors.

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Source
http://dx.doi.org/10.1016/j.ijbiomac.2024.136337DOI Listing

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