Prediction of Safety Risk Levels of Benzopyrene Residues in Edible Oils in China Based on the Variable-Weight Combined LSTM-XGBoost Prediction Model

Prediction of Safety Risk Levels of Benzopyrene Residues in Edible Oils in China Based on the Variable-Weight Combined LSTM-XGBoost Prediction Model

To assess and predict the food safety risk of benzopyrene (BaP) in edible oils in China, this study collected national sampling data of edible oils from 20 Chinese provinces and their prefectures in 2019, and constructed a risk assessment model of BaP in edible oils with consumption data. Initially,...

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Detalles Bibliográficos
Autores principales: Cheng Hao, Qingchuan Zhang, Shimin Wang, Tongqiang Jiang, Wei Dong
Formato: Artículo
Lenguaje:English
Publicado: MDPI AG 2023-06-01
Colección:Foods
Materias:
risk assessment
LSTM
XGBoost
risk prediction
edible oil
BaP
Acceso en línea:https://www.mdpi.com/2304-8158/12/11/2241

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