Rapid quality evaluation of Chuanxiong Rhizoma with multi-indicators by near infrared spectroscopy / 中草药

ABSTRACT

Objective: Near infrared spectroscopy (NIRS) method was used for rapid quality evaluation of Chuanxiong Rhizoma. Quantitative models of ferulic acid content, moisture content, and extractum content were established to improve the quality control of Chuanxiong Rhizoma. Methods: The contents of ferulic acid, moisture, and extractum were determined by high performance liquid chromatography, vacuum drying, and hot dipping methods, respectively. Partial least squares regression (PLSR) models were developed for the quantitative analysis on the contents of ferulic acid, moisture, and extractum. The contents of validation samples were predicted by established NIRS models. Results: The correlation coefficients (r) of the three models were 0.9130, 0.9059 and 0.9544, respectively. The root mean square errors of prediction (RMSEP) were 0.0003, 0.3056, and 2.2090, respectively. The relative standard errors (RSEP) were less than 10%, indicating satisfactory predicted results. Conclusion: The results demonstrate that NIRS method could be applied for the rapid determination to the contents of ferulic acid, moisture and extractum in Chuanxiong Rhizoma.