食品工业科技2024,Vol.45Issue(7):76-85,10.DOI:10.13386/j.issn1002-0306.2023050060
基于熵权TOPSIS模型对白芨多糖脱蛋白体系的评价研究
Evaluation of Bletilla striata Polysaccharide Deproteinized System Based on Entropy Weighted TOPSIS Model
摘要
Abstract
The entropy TOPSIS model was used to compare the effects of Sevage method,acetonitrile method and trichloroacetic acid(TCA)method for removaling crude Bletilla striata polysaccharide(BSP)protein,and to explore the rationality of entropy TOPSIS for BSP deproteinization system evaluation.Based on the comprehensive score of BSP retention rate and protein removal rate,the optimal treatment conditions were screened out.Nine evaluation indicators including monosaccharide components,oxidative radical scavenging ability(ORAC),and half scavenging concentration of DPPH radicals(IC50)were constructed.Supplemented by UV and FTIR,the entropy TOPSIS was used to evaluate the results of three BSP deproteinization programs.After comprehensive score,the best extraction times of sevage method was 1 time.At same time,the protein removal rate was 22.9%,and the polysaccharide retention rate was 99.11%.The optimal mass concentration of the TCA method was 10%,when the protein removal rate was 70.64%,and the polysaccharide retention rate was 70.03%.Compared with the ORAC values and IC50 of the three polysaccharide,it was found that the value of polysaccharide ORAC treated by the acetonitrile method was higher than that of the positive control group(P<0.05),and the polysaccharides treated by the Sevage method had the strongest antioxidant activity.The BSP deproteinization evaluation system was analyzed by the entropy TOPSIS model,and the sevage method deproteinization effect was the best and the expected result.The results showed that the entropy TOPSIS model could be used in the evaluation of BSP deproteinization system.关键词
白芨/多糖/体外抗氧化活性/白芨多糖脱蛋白评价体系/熵权TOPSIS模型Key words
Bletilla striata/polysaccharide/in vitro antioxidant activity/Bletilla striata polysaccharide deproteinization evaluation system/entropy weighted TOPSIS model分类
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袁高阳,秦心睿,聂晓兵,金文芳,杨玉玉,刘诗菡,范宝磊,苗潇磊..基于熵权TOPSIS模型对白芨多糖脱蛋白体系的评价研究[J].食品工业科技,2024,45(7):76-85,10.基金项目
湖北省科技重大专项(社发领域和重点研发计划)(2022BCE066). (社发领域和重点研发计划)