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Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection

Simultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volu...

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Autores principales: Bhide, Ashlesha, Cheeran, Sarah, Muthukumar, Sriram, Prasad, Shalini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468720/
https://www.ncbi.nlm.nih.gov/pubmed/30654428
http://dx.doi.org/10.3390/bios9010013
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author Bhide, Ashlesha
Cheeran, Sarah
Muthukumar, Sriram
Prasad, Shalini
author_facet Bhide, Ashlesha
Cheeran, Sarah
Muthukumar, Sriram
Prasad, Shalini
author_sort Bhide, Ashlesha
collection PubMed
description Simultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volumes (1–5 μL) of sweat is demonstrated. Biosensing is implemented using nanotextured ZnO films integrated on a flexible porous membrane to achieve enhanced sensor performance. The ZnO sensing region is functionalized with enzymes specific for the detection of alcohol, glucose, and lactate in the ranges encompassing their physiologically relevant levels. A non-faradaic chronoamperometry technique is used to measure the current changes associated with interactions of the target biomarkers with their specific enzyme. The specificity performance of the biosensing platform was established in the presence of cortisol as the non-specific molecule. Biosensing performance of the platform in a continuous mode performed over a 1.5-h duration showed a stable current response to cumulative lifestyle biomarker concentrations with capability to distinguish reliably between low, mid, and high concentration ranges of alcohol (0.1, 25, 100 mg/dL), glucose (0.1, 10, 50 mg/dL), and lactate (1, 50, 100 mM). The low detection limits and a broader dynamic range for the lifestyle biomarker detection are quantified in this research demonstrating its suitability for translation into a wearable device.
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spelling pubmed-64687202019-04-23 Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection Bhide, Ashlesha Cheeran, Sarah Muthukumar, Sriram Prasad, Shalini Biosensors (Basel) Article Simultaneous detection of correlated multi-biomarkers on a single low-cost platform in ultra-low fluid volumes with robustness is in growing demand for the development of wearable diagnostics. A non-faradaic biosensor for the simultaneous detection of alcohol, glucose, and lactate utilizing low volumes (1–5 μL) of sweat is demonstrated. Biosensing is implemented using nanotextured ZnO films integrated on a flexible porous membrane to achieve enhanced sensor performance. The ZnO sensing region is functionalized with enzymes specific for the detection of alcohol, glucose, and lactate in the ranges encompassing their physiologically relevant levels. A non-faradaic chronoamperometry technique is used to measure the current changes associated with interactions of the target biomarkers with their specific enzyme. The specificity performance of the biosensing platform was established in the presence of cortisol as the non-specific molecule. Biosensing performance of the platform in a continuous mode performed over a 1.5-h duration showed a stable current response to cumulative lifestyle biomarker concentrations with capability to distinguish reliably between low, mid, and high concentration ranges of alcohol (0.1, 25, 100 mg/dL), glucose (0.1, 10, 50 mg/dL), and lactate (1, 50, 100 mM). The low detection limits and a broader dynamic range for the lifestyle biomarker detection are quantified in this research demonstrating its suitability for translation into a wearable device. MDPI 2019-01-16 /pmc/articles/PMC6468720/ /pubmed/30654428 http://dx.doi.org/10.3390/bios9010013 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bhide, Ashlesha
Cheeran, Sarah
Muthukumar, Sriram
Prasad, Shalini
Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title_full Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title_fullStr Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title_full_unstemmed Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title_short Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection
title_sort enzymatic low volume passive sweat based assays for multi-biomarker detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468720/
https://www.ncbi.nlm.nih.gov/pubmed/30654428
http://dx.doi.org/10.3390/bios9010013
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