Quantifying Ethanol in Sweat with a Wearable Al-Doped NiO Electrode and Data Analysis

Human sweat is one of the biomarker rich fluid that contains important medical data which can be the important factor in the development of sweat based point-of-care health management devices. It is an interesting analyte as it reduces anxiety and improving health or confidence. However, high consum...

Full description

Saved in:
Bibliographic Details
Published inIEEE sensors journal Vol. 23; no. 19; p. 1
Main Authors Singh, Anoop, Sharma, Asha, Sundramoorthy, Ashok k., Arya, Sandeep
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Human sweat is one of the biomarker rich fluid that contains important medical data which can be the important factor in the development of sweat based point-of-care health management devices. It is an interesting analyte as it reduces anxiety and improving health or confidence. However, high consumption can lead to increased crime, assault, and car accidents in the short term, and health problems affecting various organs like pancreas, liver, etc. in the long term. The most common methods of detecting alcohol are based on bodily fluids such as blood, urine and breath. The main drawback of these samples is that they require the active participation of the subject for measurement and collection. In this experiment, we first synthesized Al doped NiO electrode with doping concentration varying from 0.00% to 0.11% and investigated its ethanol sensing performance. The electrochemical sensing properties are investigated using DPV with concentration varying from 50-600 μM. The limit of detection (LOD) and limit of quantification (LOQ) comes out to be 20.34 μM and 61.64 μM, respectively confirming the high capability of the synthesized electrode for sensing of ethanol. The concentration of alcohol in sweat is computed in a programmed graphical interface.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3304978