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Development of a processing factor prediction model for pesticides in processed tomato foods using elastic net regularization.
Yamasaki, Yuki; Nakamura, Kosuke; Kashiwabara, Nao; Chiba, Shinji; Akiyama, Hiroshi; Tsutsumi, Tomoaki.
Afiliación
  • Yamasaki Y; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan.
  • Nakamura K; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan. Electronic address: kosnakamura@nihs.go.jp.
  • Kashiwabara N; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan.
  • Chiba S; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan.
  • Akiyama H; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan; Department of Analytical Chemistry, School of Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-Ku, Tokyo 142-8501, Japan.
  • Tsutsumi T; Division of Foods, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan.
Food Chem ; 447: 138943, 2024 Jul 30.
Article en En | MEDLINE | ID: mdl-38489881
ABSTRACT
A novel regularized elastic net regression model was developed to predict processing factor (PF) for pesticide residues, which represents a change in the residue levels during food processing. The PF values for tomato juice, wet pomace and dry pomace in the evaluations and reports published by the Joint FAO/WHO Meeting on Pesticide Residues significantly correlated with the physicochemical properties of pesticides, and subsequently the correlation was observed in the present tomato processing study. The elastic net regression model predicted the PF values using the physicochemical properties as predictor variables for both training and test data within a 2-fold range for 80-100% of the pesticides tested in the tomato processing study while overcoming multicollinearity. These results suggest that the PF values are predictable at a certain degree of accuracy from the unique sets of physicochemical properties of pesticides using the developed model based on a processing study with representative pesticides.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plaguicidas / Residuos de Plaguicidas / Solanum lycopersicum Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plaguicidas / Residuos de Plaguicidas / Solanum lycopersicum Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido