天然产物研究与开发 ›› 2018, Vol. 30 ›› Issue (增刊2): 138-146.

• 研究简报 • 上一篇    下一篇

参麦注射液总皂苷含量快速预测

董礼*,李梅,吴建国,王利   

  1. 华润三九(雅安)药业有限公司,雅安 625000
  • 出版日期:2019-01-18 发布日期:2019-01-18
  • 基金资助:

    麦冬整合式全产业链综合开发研究(2015SZ0033)

Total Saponins Content Rapid Prediction of Shenmai Injection

DONG Li*,LI Mei,WU Jian-guo,WANG Li   

  1. China Resources Sanjiu (Ya’an) Pharmaceutical Co.,Ltd.,Ya’an 625000,China
  • Online:2019-01-18 Published:2019-01-18

摘要: 利用参麦注射液快速指纹图谱检测法和总皂苷含量测定法,收集得到50组参麦注射液指纹图谱和对应总皂苷含量数据,以25组数据为较正集,另25组数据为预测集,采用非负系数约束的偏最小二乘回归(PLSR)法建立定量分析模型。结果所建模型系数解释合理,预测误差小于5%,含量预测准确。采用快速液相指纹图谱结合非负系数修正的偏最小二乘回归分析,能够快速预测参麦注射液总皂苷含量,为总皂苷含量快速评估提供了一种新的途径。

关键词: 指纹图谱, 参麦注射液, 偏最小二乘回归, 系数

Abstract: There were fifty batches data got by SMI rapid fingerprint peak area and content of total saponins.Then it established mathematical model with twenty five batches data by partial least squares regression (PLSR) and non-negative correction (NNC),and it proved the accuracy with the other twenty five batches data.As the result,it explained the coefficient of mathematical model reasonably.And the prediction deviation was less than 5%.The content results were accuracy. It could rapidly determine the total saponins content of SMI by the prediction model established with rapid fingerprint and NNC-PLSR.And It provided a new total saponins content rapidly determination method for SMI.

Key words: fingerprint, Shenmai injection, partial least squares regression, coefficient

中图分类号:  R917