Medication regularities of traditional Chinese medicine formulas for six kinds of pains by data-mining approach / 中国中药杂志

To study and compare the medication regularities of traditional Chinese medicine formulas(TCMFs) for the six kinds of pains,namely abdominal pain,headache,epigastric pain,hypochondriac pain,heartache and backache,using a data-mining approach,in order to provide reference for relevant studies for the compatibility mechanism and new compound development of related TCMFs. A total of 2 443 TCMFs for pains were collected from the Dictionary of Chinese Medicine Prescriptions,and analyzed using the Apriori algorithm based on three indicators,namely confidence,lift and support,so as to study pivotal traditional Chinese medicines(TCMs) for each pain and their compatibility regularities. The results showed that deficiency tonifying medicines(such as Glycyrrhizae Radix et Rhizoma and Angelicae Sinensis Radix),Qi-regulating medicines(like Aucklandiae Radix) and blood circulation promoting medicines(like Chuanxiong Rhizoma) were commonly used TCMs for pains. However,there were many differences between drugs for various kinds of pains. For example,Magnoliae Officinalis Cortex was used frequently for abdominal pain and epigastric pain,while Saposhnikoviae Radix was used frequently for headache. The latent association rules with significant lift included Carthami Flos → Angelicae Sinensis Radix for abdominal pain,Astragali Radix → Glycyrrhizae Radix et Rhizoma for headache,Hordei Fructus Germinatus → Citri Reticulatae Pericarpium for epigastric pain,Gentianae Radix et Rhizoma → Bupleuri Radix for hypochondriac pain,and Caryophylli Flos → Moschus for backache. This study showed that based on the TCMFs from the Dictionary of Chinese Medicine Prescriptions,the data-mining approach can reveal the differences and similarities in the use of TCMs for the six kinds of pains,and discover the latent composition regularities of relevant TCMs.

Rapid determination of nine components in the first extraction process of Xingnaojing injection by using ultraviolet spectroscopy / 中国中药杂志

In this study, an analytical method based on ultraviolet spectroscopy was established for the rapid determination of nine components including isophorone, 4-methylene-isophorone, curcumenone, curcumenol, curdione, curzerenone, furanodienone, curcumol and germacrone in the first extraction process of Xingnaojing injection. 166 distillate samples of Gardeniae Fructus and Radix Curcumae were collected in the first extraction process of Xingnaojing injection. The ultraviolet spectra of these samples were collected, and the contents of the nine components in these samples were determined by high performance liquid chromatography. Least squares support vector machine and radial basis function artificial neural network were used to establish the multivariate calibration models between the ultraviolet spectra and the contents of the nine components. The results showed that the established ultraviolet spectrum analysis method can determine the contents of the nine components in the distillates accurately, with root mean square error of prediction of 0.068, 0.147, 0.215, 0.319, 1.01, 1.27, 0.764, 0.147, 0.610 mg•L⁻¹, respectively. This proposed method is a rapid, simple and low-cost tool for the monitoring and endpoint determination of the extraction process of Xingnaojing injection to reduce quality defects and variations.

Feedforward control strategy and its application in quality improvement of ethanol precipitation process of danhong injection / 中国中药杂志

In this work, a feedforward control strategy basing on the concept of quality by design was established for the manufacturing process of traditional Chinese medicine to reduce the impact of the quality variation of raw materials on drug. In the research, the ethanol precipitation process of Danhong injection was taken as an application case of the method established. Box-Behnken design of experiments was conducted. Mathematical models relating the attributes of the concentrate, the process parameters and the quality of the supernatants produced were established. Then an optimization model for calculating the best process parameters basing on the attributes of the concentrate was built. The quality of the supernatants produced by ethanol precipitation with optimized and non-optimized process parameters were compared. The results showed that using the feedforward control strategy for process parameters optimization can control the quality of the supernatants effectively. The feedforward control strategy proposed can enhance the batch-to-batch consistency of the supernatants produced by ethanol precipitation.

An approach to determine critical process parameters for ethanol precipitation process of danhong injection / 中国中药杂志

<p><b>OBJECTIVE</b>To establish a method integrating multi-targets for determining critical process parameters of the manufacturing process of traditional Chinese medicine.</p><p><b>METHOD</b>The ethanol precipitation process of Danhong injection was taken as an application case of the method established. Fractional factorial design of experiments were conducted. Mathematical models relating seven process parameters to ten targets in the ethanol precipitation process were established. Then the sums of the absolute values of the regression coefficients in the models were used to evaluate the criticality of process parameters.</p><p><b>RESULT</b>Water content in the concentrate, ethanol concentration and ethanol consumption were identified as the critical process parameters.</p><p><b>CONCLUSION</b>The method established can integrate multi-targets effectively for the evaluation of critical process parameters.</p>

Application of ultraviolet spectroscopy for rapid analysis in extraction process of danhong injection / 中国中药杂志

In this work, a rapid analysis method basing on ultraviolet spectroscopy was established for the determination of danshensu, protocatechuic aldehyde, rosmarinci acid, lithospermic acid and salvianolic acid B in the extraction process of Danhong injection. In the extraction process of Danshen and Honghua crude drugs, 44 extraction solution samples were collected and the contents of the five components were determined by HPLC analysis. The ultraviolet spectra of the samples were collected. Partial least square regression was used to establish the multivariate calibration models between the ultraviolet spectra and the contents of the five components. The results showed that the established models could predict the contents of the five components in the extraction solution accurately. The ultraviolet spectroscopy method established in this work can be used for rapid analysis of the intermediates of Danhong injection, which may be applied for the quality control in the manufacturing process.