基于近红外光谱的丹红注射液提取过程质量在线检测方法研究

目的:应用近红外透射光谱法,建立丹红注射液提取过程中关键指标的快速定量分析方法.方法:在线采集丹参和红花2种药材混合提取过程的近红外光谱图,以高效液相色谱(HPLC)和差重法为参照,采用偏最小二乘回归(PLSR)法分别建立迷迭香酸、丹酚酸B、紫草酸、羟基红花黄色素A和固含量的定量校正模型.结果:校正模型的交叉验证相关系数(RCV)和交叉验证均方根偏差(RMSECV)分别为:迷迭香酸0.9093,0.012 1 g·L-1；丹酚酸B 0.915 2,0.251 g·L-1；紫草酸0.901 9,0.017 7 g·L-1；羟基红花黄色素A 0.747 7,0.038 1 g·L-1；固含量0.931 4,0.359.结论:利用近红外光谱技术可以实现丹红注射液原料药材提取过程中迷迭香酸、丹酚酸B、紫革酸和固含量的快速检测,羟基红花黄色素A的定量校正模型有待进一步完善.

On-line monitoring of extraction process of Danhong injection based on near-infrared spectroscopy

Objective: To establish a rapid quantitative analysis method for the quality control of Danhong injection extraction using near-infrared (NIR) spectroscopy. Method: Online collecting the NIR spectra during the mixed extraction process of Salvia miltiorrhiza and Carthamus tinctorius, partial least squares regression (PLSR) models were developed for the quality indicators rosmarinic acid (RA), salvia acid B (SaB), lithospermic acid (LA), hydroxysafflor yellow A (HSYA) and solid content (SSC), with HPLC and weight-loss method as reference methods. Result: The correlation coefficients of the cross validation for RA, SaB, LA, HSYA and SSC were 0.909 3, 0.915 2, 0.901 9, 0.747 7 and 0.931 4, respectively. And the root mean square errors of cross validation (RMSECV) were 0.012 1, 0.251, 0.017 7, 0.038 1 g·L^-1 and 0.359%, respectively. Conclusion: In this study, NIR spectroscopy was successfully applied to achieve the real-time determination of the contents of RA, SaB, LA and SSC, while the performance of the HSYA calibration model needed to be improved.