Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor

Alcohol-related incidents are increasing despite the implementation of RA 10586, the Anti-Drunk or Drugged Driving Act of 2013. Conventionally, blood alcohol content (BAC) is tested by gas chromatography or breathalyzers. This work aims to design and fabricate a paper-strip based sensor for the dete...

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Main Authors: Abaoag Christian Jhoart, Alforque Ralph, Ordoño John Benedict, Quinto Edna
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201815605005
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spelling doaj-b5649a26f6fc4849a8c8d6490822e0372021-02-02T08:10:12ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011560500510.1051/matecconf/201815605005matecconf_rsce2018_05005Non-invasive Detection of Human Body Liquor Intake Based on Optical BiosensorAbaoag Christian JhoartAlforque RalphOrdoño John BenedictQuinto EdnaAlcohol-related incidents are increasing despite the implementation of RA 10586, the Anti-Drunk or Drugged Driving Act of 2013. Conventionally, blood alcohol content (BAC) is tested by gas chromatography or breathalyzers. This work aims to design and fabricate a paper-strip based sensor for the detection of alcohol using saliva as biomedium. The sensor will act as an alternative alcohol detection platform, which will provide low cost analysis of BAC. Different tests were undergone using p-nitrophenol, PNP, as recognition element, which include stability, repeatability, and sensitivity. In order to establish the change of PNP in the presence of alcohol, a UV-Vis spectrophotometer was used. For stability and repeatability, an RSD of 1.24% and 4.61% were obtained, respectively. Furthermore, the sensitivity to alcohol concentration was found to have an R2 value equal to 0.987. For the paper-strip application, 10 mm x 60 mm optical sensing membrane (OSM) with immobilized PNP was prepared. It is analysed through the use of digital image captured by a smartphone camera. The RGB values are then measured using the ImageJ software application. The stability, repeatability, and sensitivity of biosensor are 1.85% RSD, 2.23% RSD, and 0.9731 coefficient of linearity, respectively. This method is a promising alternative to breathalyzer.https://doi.org/10.1051/matecconf/201815605005
collection DOAJ
language English
format Article
sources DOAJ
author Abaoag Christian Jhoart
Alforque Ralph
Ordoño John Benedict
Quinto Edna
spellingShingle Abaoag Christian Jhoart
Alforque Ralph
Ordoño John Benedict
Quinto Edna
Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
MATEC Web of Conferences
author_facet Abaoag Christian Jhoart
Alforque Ralph
Ordoño John Benedict
Quinto Edna
author_sort Abaoag Christian Jhoart
title Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
title_short Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
title_full Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
title_fullStr Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
title_full_unstemmed Non-invasive Detection of Human Body Liquor Intake Based on Optical Biosensor
title_sort non-invasive detection of human body liquor intake based on optical biosensor
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Alcohol-related incidents are increasing despite the implementation of RA 10586, the Anti-Drunk or Drugged Driving Act of 2013. Conventionally, blood alcohol content (BAC) is tested by gas chromatography or breathalyzers. This work aims to design and fabricate a paper-strip based sensor for the detection of alcohol using saliva as biomedium. The sensor will act as an alternative alcohol detection platform, which will provide low cost analysis of BAC. Different tests were undergone using p-nitrophenol, PNP, as recognition element, which include stability, repeatability, and sensitivity. In order to establish the change of PNP in the presence of alcohol, a UV-Vis spectrophotometer was used. For stability and repeatability, an RSD of 1.24% and 4.61% were obtained, respectively. Furthermore, the sensitivity to alcohol concentration was found to have an R2 value equal to 0.987. For the paper-strip application, 10 mm x 60 mm optical sensing membrane (OSM) with immobilized PNP was prepared. It is analysed through the use of digital image captured by a smartphone camera. The RGB values are then measured using the ImageJ software application. The stability, repeatability, and sensitivity of biosensor are 1.85% RSD, 2.23% RSD, and 0.9731 coefficient of linearity, respectively. This method is a promising alternative to breathalyzer.
url https://doi.org/10.1051/matecconf/201815605005
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