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All Journal ASEAN Journal of Chemical Engineering
Althea Mae Mendenilla
Department of Chemical Engineering, Faculty of Engineering, University of Santo Tomas, Espana Boulevard, Manila, Philippines
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry

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Development of a Method through Digital Image Analysis for Analyzing Polyaniline Based Sensors for Total Volatile Basic Nitrogen (TVBN) as Fish Freshness Indicators Manna Joanna Maravillas; Althea Mae Mendenilla; Adrian Fernando Merino; Edna Quinto
ASEAN Journal of Chemical Engineering Vol 18, No 2 (2018)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (568.067 KB) | DOI: 10.22146/ajche.49531

Abstract

Food spoilage is a prevailing issue to society. This study addresses it by developing a freshness indicator using polyaniline through digital image analysis that monitors the condition of fish, which release amine vapors upon spoilage. The Polyaniline film prepared is analyzed through its digital image captured by a smartphone camera. The images’ RGB values were measured through the use of ImageJ Software. The RGB values are dependent on the film’s color, which reflects the effect of trimethylamine exposure. This study includes film preparation, analysis of the film’s RGB values upon exposure to trimethylamine standard and headspace of a real sample, and the results’ comparison with the UV-Vis Spectrophotometry’s. Results are: Blue color value signal stability: 1.72% RSD, Repeatability test RSD: 35.68%, Blue value LOD: 0.01384M, Blue color value sensitivity: 248.87 color value change/molar concentration with linear coefficient of R²=0.97391. Spectrophotometry’s results were more accurate as expected. Nevertheless, determination through RGB values produced acceptable results. However, data acquisition for the ImageJ software application, the configuration of the optical system, and data treatment can still be improved. The method showed promising results for detecting volatile nitrogen samples such as amines in fish samples as they begin to spoil, using a smart phone.
Co-Authors Adrian Fernando Merino Edna Quinto Manna Joanna Maravillas