Next Article in Journal
Textile-Based Potentiometric Electrochemical pH Sensor for Wearable Applications
Previous Article in Journal
Biochemical Changes in Irradiated Oral Mucosa: A FTIR Spectroscopic Study
Previous Article in Special Issue
Breathable Dry Silver/Silver Chloride Electronic Textile Electrodes for Electrodermal Activity Monitoring
Article Menu

Export Article

Open AccessArticle
Biosensors 2019, 9(1), 13; https://doi.org/10.3390/bios9010013

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

1
Department of Bioengineering, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX 75080, USA
2
Enlisense LLC, 1813 Audubon Pond way, Allen, TX 75013, USA
*
Author to whom correspondence should be addressed.
Received: 1 December 2018 / Revised: 9 January 2019 / Accepted: 14 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Wearable Biosensors 2019)
Full-Text   |   PDF [2978 KB, uploaded 16 January 2019]   |  

Abstract

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. View Full-Text
Keywords: wearable biosensing; enzyme-based assay; alcohol detection; glucose detection; lactate detection; chronoamperometry; sweat sensing; continuous monitoring wearable biosensing; enzyme-based assay; alcohol detection; glucose detection; lactate detection; chronoamperometry; sweat sensing; continuous monitoring
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Bhide, A.; Cheeran, S.; Muthukumar, S.; Prasad, S. Enzymatic Low Volume Passive Sweat Based Assays for Multi-Biomarker Detection. Biosensors 2019, 9, 13.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biosensors EISSN 2079-6374 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top