Journal article
Polyaniline-based cadaverine sensor through digital image colorimetry
e-Polymers, Vol.18(6), pp.465-471
2018
Abstract
The detection of biogenic amines is important due to the their correlation with spoilage and toxicity. Polyaniline (PANI) is a polymer capable of changing color from blue to green and vice versa through acid-base reactions. This study tested the potential of PANI as a sensing material for the presence of cadaverine. PANI was fabricated on nylon cloths through the redox reaction of aniline and ammonium persulfate. The PANI-coated nylon cloths were exposed to different amounts of cadaverine in a fixed reaction time of 5 min. Through digital image colorimetry, plots of the different color values vs. concentration were prepared and the curve with the highest linearity was obtained using the yellow value. Values for limit of detection (LOD) and limit of quantification (LOQ) were calculated to be 0.8816 mm and 2.9386 mm, respectively. An Android application which analyzes the color values of the PANI image in relation to the amount of cadaverine was also developed.
Details
- Title
- Polyaniline-based cadaverine sensor through digital image colorimetry
- Authors
- Alessandria Maeve Ocampo - Philippine Science High School SystemLee Romney Santos - Philippine Science High School SystemSam Julian - Philippine Science High School SystemMark Xavier Bailon (Corresponding Author) - Daegu UniversityBautista Joel - Philippine Science High School System
- Publication details
- e-Polymers, Vol.18(6), pp.465-471
- Publisher
- Walter de Gruyter GmbH
- Date published
- 2018
- DOI
- 10.1515/epoly-2018-0083
- ISSN
- 1618-7229
- Copyright note
- ©2018 Walter de Gruyter GmbH, Berlin/Boston. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Organisation Unit
- Student Services and Engagement
- Language
- English
- Record Identifier
- 991239795502621
- Output Type
- Journal article
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