A Fast and Highly Efficient Strategy for Detection of Camellia Oil Adulteration Using Machine Learning Assisted Sers

Author:

Xu Peipei,Nie QingLing,Huang Runbing,Shi Jing,Ren Junjie,You Ruiyun,Wang Hengfang,Yang Yan,Lu Yudong

Publisher

Elsevier BV

Reference43 articles.

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3. Spectroscopic and Thermal Characterization of Extra Vi rgin Olive Oil Adulterated with Edible Oils;E Chavez-Angel;Foods,2022

4. Intelligent analy sis of excitation-emission matrix fluorescence fingerprint to identify and quantify adultera tion in camellia oil based on machine learning;A.-Q Chen;Talanta,2023

5. A novel method for detection of camellia oil adulteration bas ed on time-resolved emission fluorescence;H Chen;Scientific Reports,2018

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