Your browser doesn't support javascript.
loading
Mathematical modeling of optimal coagulant dosage for tofu preparation using MgCl2.
Chen, Jian; Cai, Lei; Huang, Xiaolong; Fu, Hongling; Sun, Ling; Yuan, Changwei; Gong, Hao; Lyu, Bo; Wang, Zhaohui; Yu, Hansong.
Afiliação
  • Chen J; College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
  • Cai L; Division of Soybean Processing, Soybean Research & Development Center, Chinese Agricultural Research System, Changchun 130118, China.
  • Huang X; College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
  • Fu H; Division of Soybean Processing, Soybean Research & Development Center, Chinese Agricultural Research System, Changchun 130118, China.
  • Sun L; College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
  • Yuan C; Division of Soybean Processing, Soybean Research & Development Center, Chinese Agricultural Research System, Changchun 130118, China.
  • Gong H; College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
  • Lyu B; Division of Soybean Processing, Soybean Research & Development Center, Chinese Agricultural Research System, Changchun 130118, China.
  • Wang Z; Institute of Plant Protection, Jilin Academy of Agriculture Sciences, Changchun 130024, China.
  • Yu H; College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
Food Chem X ; 21: 101137, 2024 Mar 30.
Article em En | MEDLINE | ID: mdl-38304048
ABSTRACT
To explore the association between the optimal coagulant for tofu and the components of soybeans,30 different kinds of soybeans were selected, and tested for their optimal coagulant MgCl2 content. The optimal amount of coagulant was taken as the dependent variable, and the soybean Composition were taken as independent variables for the correlation analysis. The results showed that there was a positive correlation between the optimal coagulant content and the content of histidine, 7S ß-conglycinin, B1aB1bB2B3B4 of 11 s glycincin, and α'-subunit of 7S ß-conglycinin, negative correlation with lysine. The regression formula is y = -1.186 + 3.457*B1aB1bB2B3B4 + 2.304*7S + 0.351*histidine - 0.084*lysine + 4.696*α', and the model is validated to be within 10 % of the error value and has a high degree of confidence. This study provides theoretical support for realizing the green production of traditional soybean products.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem X Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem X Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China