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Adulteration Detection of Multi-Species Vegetable Oils in Camellia Oil Using SICRIT-HRMS and Machine Learning Methods

We aimed to establish a rapid and precise method for identifying and quantifying multi-species vegetable oil (corn oil, olive oil (OLO), soybean oil, and sunflower oil (SUO)) adulterations in camellia oil (CAO), using soft ionization by chemical reaction in transfer–high-resolution mass spectrometry...

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Principais autores: Mei Wang, Ting Liu, Han Liao, Xian-Biao Liu, Qi Zou, Hao-Cheng Liu, Xiao-Yin Wang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-01-01
coleção:Foods
Assuntos:
camellia oil
adulteration detection
SICRIT-HRMS
machine learning
Acesso em linha:https://www.mdpi.com/2304-8158/15/3/434
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