海南医科大学学报2025，Vol.31Issue(18)：1370-1378,9.DOI:10.13210/j.cnki.jhmu.20241121.001
基于熵权法结合响应面法优化海南砂仁盐炙工艺
To optimize the salt process of Amomum longiligulare T.L.Wu based on entropy weight method combined with response surface method
摘要
Abstract
Objective:To screen the best salt-processing technology of Amomum(A.)longiligulare T.L.Wu.Methods:Us-ing the mass fraction of two index components[3,5-diacetoxy-1,7-bis(3,4-dihydroxy-phenyl)heptane and 5-hydroxy-3,7,4'-trimethoxy-flavonoids]and the extraction rate of polysaccharide as evaluation indexes,the weight coefficients of each evaluation index were determined by entropy weight method.Box-Behnken response surface method was used to investigate the effects of wa-ter and salt ratio,roasting wattages,and roasting time on the processing technology of A.longiligulare T.L.Wu,and to screen the best salt-processing parameters of A.longiligulare T.L.Wu.Results:The optimum parameters of salt processing were for ev-ery 50 g of A.longiligulare T.L.Wu,the ratio of water to salt was 20∶1(mL/g),the quenching time was 4 h,the roasting time was 25 min,and the roasting wattage was 300 w.Three batches of samples were prepared in parallel,and the comprehensive scores were 94.86,92.21,93.18,and the RSD was 1.44%,respectively.Conclusion:The optimized salt-prepared process of A.longiligulare T.L.Wu is stable and feasible,which can provide reference for the study of processing technology of A.longiligulare T.L.Wu,and provide reference for the quality control of A.longiligulare T.L.Wu.关键词
海南砂仁/炮制工艺/响应面法/熵权法Key words
Amomum longiligulare T.L.Wu/Processing technology/Response surface method/Entropy weight method分类
医药卫生引用本文复制引用
程倩颖,练勇,罗明权,周小妹,张迎,孔奕丹,魏娜..基于熵权法结合响应面法优化海南砂仁盐炙工艺[J].海南医科大学学报,2025,31(18):1370-1378,9.基金项目
This study was supported by the Natural Science Foundation Project of Hainan Province(821RC743) （821RC743）
Graduate Innovative Research Project of Hainan Medical University(HYYB2022A48,HYYS2022B15) 海南省自然科学基金资助项目(821RC743) （HYYB2022A48,HYYS2022B15）
海南医学院研究生创新科研课题资助项目(HYYB2022A48,HYYS2022B15) （HYYB2022A48,HYYS2022B15）
