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丹参醇沉过程中丹参素、丹酚酸B和丹酚酸D的回收率预测研究
引用本文:俞翔,莫必琪,王治,瞿海斌. 丹参醇沉过程中丹参素、丹酚酸B和丹酚酸D的回收率预测研究[J]. 中草药, 2010, 41(6): 900-903
作者姓名:俞翔  莫必琪  王治  瞿海斌
作者单位:1. 浙江大学药物信息学研究所,浙江,杭州,310058
2. 正大青春宝药业有限公司,浙江,杭州,310023
基金项目:教育部新世纪优秀人才支持计划,浙江省重大科技专项重点项目
摘    要:
目的建立丹参醇沉过程丹参素、丹酚酸B和丹酚酸D回收率的预测模型。方法采集15批丹参醇沉正常生产的操作参数,测定浓缩液和醇沉液中的5种有效成分,计算丹参素、丹酚酸B和丹酚酸D的回收率。采用将醇沉操作参数和浓缩液有效成分的量相结合的方法建立Stepwise-MLR回收率预测模型,分析模型中各变量的重要性。结果丹参素、丹酚酸B和丹酚酸D的回收率预测模型相关系数均大于0.95。结论建立的丹参醇沉过程中有效成分回收率预测模型具有较好的预测能力,有助于进一步了解醇沉过程,提高丹参醇沉过程质量控制水平。

关 键 词:丹参  回收率  醇沉  丹参索  丹酚酸B  丹酚酸D
收稿时间:2009-04-12

Recovery prediction of danshensu,salvianolic acid B,and salvianolic acid D in danshen ethanol precipitation
YU Xiang,MO Bi-qi,WANG Zhi and QU Hai-bin. Recovery prediction of danshensu,salvianolic acid B,and salvianolic acid D in danshen ethanol precipitation[J]. Chinese Traditional and Herbal Drugs, 2010, 41(6): 900-903
Authors:YU Xiang  MO Bi-qi  WANG Zhi  QU Hai-bin
Affiliation:Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, China;Chiatai QingchunbaoPharmaceutical Co., Ltd., Hangzhou 310023, China;Chiatai QingchunbaoPharmaceutical Co., Ltd., Hangzhou 310023, China;Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, China
Abstract:
Objective To develop recovery prediction models for danshensu,salvianolic acid B,and salvianolic acid D in danshen ethanol precipitation.Methods Recorded the operation parameters of 15 normal batches of danshen ethanol precipitation in one Chinese medicine plant and measured five active component contents in danshen concentrated liquid and danshen ethanol precipitated liquid,the Stepwise-MLR recovery prediction models of dashensu,salvianolic acid B,and salvianolic acid D were developed based on an approach which combined the process parameters and the active component contents in danshen concentrated liquid.The importance of variables in the prediction models was analyzed later.Results The coefficient correlations of dashensu,salvianolic acid B,and salvianolic acid D recovery prediction models were all above 0.95.Conclusion The models developed for active component recovery prediction show a good predictability.Models can be used to help manufacturers to understand the ethanol precipitation process and improve the quality control ability of danshen ethanol precipitation.
Keywords:danshen(Salviae miltiorrhizae Bunge)  recovory  ethanol precipitation  danshensu  salvianolic acid B  salvianolic acid D
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