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Establishing a nutrition calculation model for catering food according to the influencing factors of energy and nutrient content in food processing.
Li, Nan; Cong, Liangzi; Wang, Heng; Chen, Yamin; Liu, Zhaowei; Li, Mingliang; Yang, Dong; Li, Huzhong; Fang, Haiqin.
Afiliação
  • Li N; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China.
  • Cong L; School of Biological Science and Technology, University of Jinan, Jinan, China.
  • Wang H; Huaiyin District Center for Disease Control and Prevention, Jinan, China.
  • Chen Y; Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan Municipal Center for Disease Control and Prevention, Zhoushan, China.
  • Liu Z; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China.
  • Li M; School of Computer and Control Engineering, YanTai University, Yantai, China.
  • Yang D; School of Computer and Control Engineering, YanTai University, Yantai, China.
  • Li H; Department of Computer Science, Georgia State University, Atlanta, GA, United States.
  • Fang H; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China.
Front Nutr ; 11: 1388645, 2024.
Article em En | MEDLINE | ID: mdl-38699547
ABSTRACT

Objective:

This study aimed to establish an accurate and efficient scientific calculation model for the nutritional composition of catering food to estimate energy and nutrient content of catering food.

Methods:

We constructed a scientific raw material classification database based on the Chinese food composition table by calculating the representative values of each food raw material type. Using China's common cooking methods, we cooked 150 dishes including grains, meat, poultry, fish, eggs, and vegetables and established a database showing the raw and cooked ratios of various food materials by calculating the ratio of raw to cooked and the China Total Diet Research database. The effects of various cooking methods on the nutritional composition of catering food were analyzed to determine correction factors for such methods on the nutritional components. Finally, we linked the raw material classification, raw and cooked ratio, and nutritional component correction factor databases to establish a model for calculating the nutritional components of catering food. The model was verified with nine representative Chinese dishes.

Results:

We have completed the construction of an accurate and efficient scientific calculation model for the nutritional composition of catering food, which improves the accuracy of nutrition composition calculation.

Conclusion:

The model constructed in this study was scientific, accurate, and efficient, thereby promising in facilitating the accurate calculation and correct labeling of nutritional components in catering food.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article