論文

査読有り
2020年12月

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

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

287
開始ページ
110111
終了ページ
110111
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.jfoodeng.2020.110111
出版者・発行元
ELSEVIER SCI LTD

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 degrees C storage. Subsequently, according to the results of the spectrofluommeter, 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 R-2 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.

リンク情報
DOI
https://doi.org/10.1016/j.jfoodeng.2020.110111
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000564270200002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.jfoodeng.2020.110111
  • ISSN : 0260-8774
  • eISSN : 1873-5770
  • Web of Science ID : WOS:000564270200002

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