Rapid determination of geniposide in the extraction and concentration processes of lanqin oral solution by near-infrared spectroscopy coupled with chemometric algorithms

摘要

Process monitoring is essential for the pharmaceutical industry to control the quality uniformity of final products. In this study, the prompt quantitative methods of geniposide in Lanqin oral solution (LOS) during the process of extraction and concentration were developed by near-infrared spectroscopy (NIRs). Simultaneously, the feasibility of the method for universally monitoring the two processes was investigated. Methods including interval partial least square (iPLS), synergy interval partial least square (siPLS) and competitive adaptive reweighted sampling (CARS) were performed for characteristic variables selection. The single-process models of extraction, concentration and the multi-process model based on the combination of the two processes were constructed and discussed. Results showed that the performance of siPLS models were superior to others. For the extraction, concentration and the combination of these two processes, the Rc values were 0.9486, 0.9746 and 0.9980; while the RSEP values were 10.42 %, 5.41 % and 6.17 %, respectively. Compared with the specific models, the strong accuracy and stability of the multi-process model were also demonstrated. In addition, Pearson correlation analysis and paired t-test were also applied to verify the predictive performance of models. The overall results indicate that NIRs combined with siPLS algorithm is a robust method for predicting the geniposide in the extraction and concentration of LOS. Furthermore, the multi-process model of combination is feasible for the universal supervision of geniposide, which is convenient for industrial production applications.