Fish freshness monitoring using UV-fluorescence imaging on Japanese dace (Tribolodon hakonensis) fisheye

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Ken Abamba Omwange, Dimas Firmanda Al Riza, Nie Sen, Tomoo Shiigi, Makoto Kuramoto, Yuichi Ogawa, Naoshi Kondo, Tetsuhito Suzuki

2020 Journal of Food Engineering Vol. 287 Article Cited by 30 SDG 14SDG 17 Quartile

Abstract

Conventionally, biochemical analysis is used to estimate the freshness of fish products, but this method is destructive, technically demanding and time consuming. In this study, the fluorescence properties of raw fisheyes of Japanese dace (Tribolodon hakonensis) fish were investigated using spectrofluorometer during 4 °C storage. Subsequently, according to the results of the spectrofluorometer, fluorescence imaging system was established with 365 nm UV LED to capture the fluorescence images using a common color camera. The color components from fluorescence images of pupil and iris were extracted to establish a prediction model for a ‘standard freshness index’ of K value which was acquired by using biochemical analysis using partial least square regression method. From the results, RMSECV of 3.5% and R2 of 0.92 was realized. This study demonstrated that the UV-fluorescence imaging technique has a potential to estimate the fish freshness non-destructively during storage. © 2020 Elsevier Ltd

Affiliations

Graduate School of Agriculture, Kyoto University, Kitashirakawa, Kyoto, 6068267, Japan; Department of Agricultural Engineering, Faculty of Agricultural Technology, University of Brawijaya, Jl. Veteran, Malang, 65145, Indonesia; Department of Ocean Mechanical Engineering, National Fisheries University, Shimonoseki, Yamaguchi, Japan; Advanced Research Support Center, Ehime University, 2-5 Bunkyo-cho, Matsuyama, 790-8577, Ehime, Japan

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