Rapid quantification of oxidation indicators in fish oil by digital image colourimetry.

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Bibliographic Details
Title: Rapid quantification of oxidation indicators in fish oil by digital image colourimetry.
Authors: Yin X; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Zhao X; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Chen X; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Jiang J; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Li L; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Jiang Q; Zhejiang Academy of Science & Technology for Inspection & Quarantine, Hangzhou 310016, China., Wu L; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Zhou Y; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn., Huang J; School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China. wull815@zust.edu.cn.
Source: Analytical methods : advancing methods and applications [Anal Methods] 2026 May 14; Vol. 18 (18), pp. 3780-3791. Date of Electronic Publication: 2026 May 14.
Publication Type: Journal Article
Journal Info: Publisher: RSC Pub Country of Publication: England NLM ID: 101519733 Publication Model: Electronic Cited Medium: Internet ISSN: 1759-9679 (Electronic) Linking ISSN: 17599660 NLM ISO Abbreviation: Anal Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1759-9679
DOI:10.1039/d5ay02138c