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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2018-01-01
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Online Access: | https://doi.org/10.1051/matecconf/201815605005 |
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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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