Fast measurement method based on near infrared spectroscopy in extraction process of Tianshu capsules / 中国中药杂志

Based on the near infrared spectroscopy, partial least square (PLS) method was used to respectively develop the quantitative calibration models to fast measure the contents of the total solid and ferulic acid in extraction process of Tianshu capsule extracts. The results showed that in the quantitative model of solid content, the correlation coefficients (R²) of calibration set and cross validation set were 0.967 301 and 0.947 726. The root-mean square error of calibration set (RMSEC) was 0.054 7 and root-mean square error of cross validation set (RMSECV) was 0.069 8. Besides, in the quantitative model of ferulic acid, the correlation coefficients (R²) of calibration set and cross validation set were 0.986 879 and 0.962 243. RMSEC was 1.402 6 and RMSECV was 2.400 2. When the established models were applied to on-line monitoring, the correlation coefficients of predicted results and measured values for total solid content and ferulic acid were 0.993 3 and 0.991 6; root-mean square error of predicted value (RMSEP) was 0.039 3 and 1.669 3 respectively; mean relative deviation of predicted value (RSEP) was 3.49% and 3.58%. The results indicated that the established models can be used to fast measure the contents of the total solid and ferulic acid in extraction process of Tianshu capsule extracts.

Optimization of inclusion process of mixed volatile oil of forsythia oil and peppermint oil by colloid mill method / 中草药

Objective: To optimize the preparation of β-cyclodextrin (β-CD) inclusion compound of forsythia oil and peppermint oil using the colloid mill method. Methods: With recovery ratio and inclusion rate of volatile oil-β-CD as evaluation indexes, the single factor test combining Box-Behnken response surface methodology was used to study the effects of β-CD-pure water ratio, β-CD-volatile oil ratio, and inclusion time on the inclusion process of volatile oil. Using TLC, IR spectrum, and microscopic image, the inclusion complexes were confirmed. Results: The optimum preparation conditions of inclusion compound were as follows: β-CD-pure water ratio was 1:3, mixture of forsythia oil and peppermint oil-β-CD ratio was 1:9, and the inclusion time was 25 min. The formation of inclusion complex was preliminary proved by TLC, IR spectrum, and microscopic image. Conclusion: The method is reasonable and feasible.

Preliminary analysis on spectrum-efficient correlation model for anti-influenza virus of Lonicerae Japonicae Flos by partial least squares method / 中国中药杂志

Forty batches of Lonicerae Japonica Fse i collected extensively and prepared as the test solution. Their chromatographic fingerprints and anti-influenza virus IC50 value (half maximal inhibitory concentration) were determined respectively. Then Unscrambler software was used, and spectrum-efficient correlation analysis was done for chromatographic fingerprints data and IC50 data by partial least squares regression method, to establish spectrum-efficient correlation model for anti-influenza virus of Lonicerae Japonicae Flos. Then the other 10 batches of Lonicerae Japonicae Flos were used to verify the model and explore the adaptability of this spectrum-efficient correlation model based on partial least squares regression method. The mathematical model obtained R2 of 0.969489 and RM-SEC of 0.070691 for calibration set; R2 of 0.959042 and RMSECV of 0.084005 for cross validation set. The verification experiment results showed that the relative error between the predicted values and measured values was within 10% in all 10 hatches, and within 5% in 80% of them. The results showed that the established spectrum-efficient correlation model could be used to evaluate the biological activity of anti-influenza virus of Lonicerae Japonicae Flos by determining its HPLC fingerprints.

Optimization for vacuum belt drying process of Qibai Pingfei granule through response surface methodology / 中国中药杂志

Based on single factor tests,the optimum vacuum belt drying conditions of Qibai Pingfei granule were obtained through Box-Benhnken central combination design and RSM. In this study, drying time, drying temperature and extract density were chosen as independent variables, while transferring rate ginsenoside Rg₁, Re, Rb₁and astragaloside IV were taken as dependent variables. The optimum parameters are as follows: drying time of 112 min, drying temperature of 87 °C and extract density of 1.30 g · mL⁻¹. At the optimum condition, transferring rate ginsenoside Rg₁+ Re, Rb₁and astragaloside IV were 88.01%, 87.31%, 84. 34%. Above all, the optimum processing parameters of vacuum belt drying of Qibai Pingfei granule is reasonable and feasible, which can provide reliable basis for production.

Near infrared spectroscopy on-line and real-time monitoring of alcohol precipitation process of reduning injection / 中国中药杂志

Near infrared (NIR) spectroscopy as a kind of rapid process analysis technology has been successfully applied in Chinese medicine pharmaceutical process. In this research, the technology was adopted to establish the rapid quantitative analysis models of main indicators from the Lonicera japonica and Artemisia annua alcohol precipitation process of Reduning injection. On-line NIR spectra of 142 samples from alcohol precipitation process were collected and the content of main indicators for each sample were detected through off-line HPLC. With eliminating outliers, determination of spectra pretreatment method and selecting optimal band, the NIR quantitative calibration model for each indicator was established using partial least squares (PLS). These models were used to predict the unknown samples from precipitation process of Reduning injection to achieve the goal of rapid detection. The results showed that the models were ideal. The correlation coefficients of models for neochlorogenic acid, chlorogenic acid, 4-O-caffeoylquinic acid and secoxyloganin were 0.973 872, 0.985 449, 0.975 509 and 0.979 790, respectively and their relative standard errors of prediction (RSEP) were 2.922 49%, 2.341 37%, 2.930 40% and 2.184 60%, respectively. This study indicated that the NIR quantitative calibration model showed good stability and precision, and it can be used in rapid quantitative detection of main indicators of efficacy in order to on-line monitor the alcohol precipitation process of Reduning injection.