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基于熵权TOPSIS模型对白芨多糖脱蛋白体系的评价研究 被引量:1

Evaluation of Bletilla striata Polysaccharide Deproteinized System Based on Entropy Weighted TOPSIS Model
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摘要 利用熵权TOPSIS模型对比Sevage法、乙腈法和三氯乙酸(TCA)法脱除粗白芨多糖(BSP)蛋白的效果,探究熵权TOPSIS用于BSP脱蛋白体系评价的合理性。以BSP保留率和蛋白质脱除率综合评分,筛选出最佳处理条件;构建出包括单糖组分、氧化自由基清除能力(ORAC)、DPPH自由基半数清除浓度(IC_(50))在内的9个具体评价指标的白芨多糖脱蛋白评价体系,以紫外分光光度计和傅里叶变换红外光谱仪扫描为辅,以熵权TOPSIS对三种白芨多糖除蛋白方案的结果进行评价。经过综合评分,Sevage法最佳萃取次数为1次,此时的蛋白质脱除率为22.9%,多糖保留率为99.11%;乙腈法最佳质量浓度为60%,蛋白质脱除率为89.11%,多糖保留率为97.36%;TCA法最佳质量浓度为10%,蛋白质脱除率为70.64%,多糖保留率为70.03%;对比同浓度下三种多糖的ORAC值和IC_(50)发现,乙腈法处理的多糖ORAC值高于阳性对照组(P<0.05),Sevage法处理后的多糖具有最强的抗氧化活性;白芨多糖脱蛋白评价体系经熵权TOPSIS模型分析结果表明Sevage法脱蛋白效果最优与预期结果相符。研究结果表明熵权TOPSIS模型可用于白芨多糖脱蛋白体系评价。 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(IC_(50))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 IC_(50) 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.
作者 袁高阳 秦心睿 聂晓兵 金文芳 杨玉玉 刘诗菡 范宝磊 苗潇磊 YUAN Gaoyang;QIN Xinrui;NIE Xiaobing;JIN Wenfang;YANG Yuyu;LIU Shihan;FAN Baolei;MIAO Xiaolei(School of Pharmacy,Hubei University of Science and Technology,Xianning 437100,China;Hubei Provincial Key Laboratory of Radiation Chemistry and Functional Materials,Xianning 437100,China;Hubei Institute of Intelligent Health Care Industry,Xianning 437100,China)
出处 《食品工业科技》 CAS 北大核心 2024年第7期76-85,共10页 Science and Technology of Food Industry
基金 湖北省科技重大专项(社发领域和重点研发计划)(2022BCE066)。
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 Bletilla striata polysaccharide in vitro antioxidant activity Bletilla striata polysaccharide deproteinization evaluation system entropy weighted TOPSIS model
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