Machine learning prediction of dual and dose-response effects of flavone carbon and oxygen glycosides on acrylamide formation

INTRODUCTION: The extensive occurrence of acrylamide in heat processing foods has continuously raised a potential health risk for the public in the recent 20 years. Machine learning emerging as a robust computational tool has been highlighted for predicting the generation and control of processing c...

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Detalles Bibliográficos
Autores principales: Wang, Laizhao, Zhang, Fan, Wang, Jun, Wang, Qiao, Chen, Xinyu, Cheng, Jun, Zhang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748078/
https://www.ncbi.nlm.nih.gov/pubmed/36532517
http://dx.doi.org/10.3389/fnut.2022.1042590

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748078/
https://www.ncbi.nlm.nih.gov/pubmed/36532517
http://dx.doi.org/10.3389/fnut.2022.1042590

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