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。

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.

新世纪优秀人才支持计划(NCET-06-0515)；浙江省重大科技专项重点项目(200813004-1)