From data to insight: Exploring contaminants in different food groups with literature mining and machine learning techniques

From data to insight: Exploring contaminants in different food groups with literature mining and machine learning techniques

Food remains a major source of human exposure to chemical contaminants that are unintentionally present in commodities globally, despite strict regulation. Scientific literature is a valuable source of quantification data on those contaminants in various foods, but manually summarizing the informati...

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Bibliographic Details
Main Authors: Zita E. Martins, Helena Ramos, Ana Margarida Araújo, Marta Silva, Mafalda Ribeiro, Armindo Melo, Catarina Mansilha, Olga Viegas, Miguel A. Faria, Isabel M.P.L.V.O. Ferreira
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Current Research in Food Science
Subjects:
Food-chain contaminants
Food toxicants
Literature review
Contaminant data
Exposome
Unavoidable exposure
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927123001259

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http://www.sciencedirect.com/science/article/pii/S2665927123001259

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