Intelligent analysis of excitation-emission matrix fluorescence fingerprint to identify and quantify adulteration in camellia oil based on machine learning-Reference-Cited by-同舟云学术

Intelligent analysis of excitation-emission matrix fluorescence fingerprint to identify and quantify adulteration in camellia oil based on machine learning

Published:2023-01 Issue: Volume:251 Page:123733
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

Chen An-Qi,Wu Hai-Long,Wang Tong,Wang Xiao-Zhi,Sun Hai-Bo^ORCID,Yu Ru-Qin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Analytical Chemistry

Reference42 articles.

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5. Bioactivities of water-soluble polysaccharides from fruit shell of Camellia oleifera Abel: antitumor and antioxidant activities;Jin;Carbohydr. Polym.,2012

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