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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6468720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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