Optimization of ultrasound-assisted extraction of phenolic compounds from Cimicifugae rhizoma with response surface methodology.

BACKGROUND: Cimicifugae rhizoma was a Ranunculaceae herb belonging to the composite family, and the roots of C. rhizoma have been widely used in tradition Chinese medicine. MATERIALS AND METHODS: Ultrasound-assisted extraction (UAE) of phenolic compounds from C. rhizoma. Caffeic acid (CA), isoferulic acid (IA), ferulic acid (FA), and total phenols were quantified by high-performance liquid chromatography-diode array detection and ultraviolet-visible spectrophotometer. Effects of several experimental parameters, such as ultrasonic power (W), extraction temperature (°C), and ethanol concentration (%) on extraction efficiencies of phenolic compounds from C. rhizoma were evaluated. RESULTS: The results showed that the optimal UAE condition was obtained with ultrasonic power of 377.35 W, extraction temperature of 70°C, and ethanol concentration of 58.37% for total phenols, and ultrasonic power of 318.28 W, extraction temperature of 59.65°C, and ethanol concentration of 64.43% for combination of CA, IA, FA. CONCLUSIONS: The experimental values under optimal conditions were in good consistent with the predicted values, which suggested UAE is more efficient for the extraction of phenolic compounds from plant materials.

Optimization of the processing technology of Fructus Arctii by response surface methodology.

The present study was designed to optimize the processing of Fructus Arctii by response surface methodology (RSM). Based on single factor studies, a three-variable, three-level Box-Behnken design (BBD) was used to monitor the effects of independent variables, including processing temperature and time, on the dependent variables. Response surfaces and contour plots of the contents of total lignans, chlorogenic acid, arctiin, and arctigenin were obtained through ultraviolet and visible (UV-Vis) monitoring and high performance liquid chromatography (HPLC). Fructus Arctii should be processed under heating in a pot at 311 °C, medicine at 119 °C for 123s with flipping frequently. The experimental values under the optimized processing technology were consistent with the predicted values. In conclusion, RSM is an effective method to optimize the processing of traditional Chinese medicine (TCM).

[Study on quality evaluation of cimicifugae rhizoma from different producing areas by HPLC fingerprint].

To establish a fingerprint for Cimicifugae Rhizoma from different producing areas. Column kromasil (4.6 mm x 250 mm, 5 microm) was employed with acetonitrile-0.1% formic acid solution as the mobile phase for gradient elution. The flow rate was 1.0 mL x min(-1), the detection wavelength was 254 nm. Twenty chromatographic peaks were extracted as the common peaks of fingerprint, and 21 batches of samples were compared and classified with such methods as similarity evaluation, cluster analysis and principle component analysis. The results showed 12 common peaks and three categories of samples. The method was so highly reproducible, simple and reliable that it could provide basis for quality control and evaluation of Cimicifugae Rhizoma from different producing areas.

[Application of spectrum-effect relationship in Chinese medicine research and related thinking].

Fingerprint technology is the key technology in modern Chinese medicine research, while spectrum-effect relationship research is the advanced stage of fingerprint research. Spectrum-effect relationship research can reveal the relationship between fingerprint and pharmacological effect through multiple statistical analyses, which can be used in Chinese medicine research. Spectrum-effect relationship has been used in many areas of Chinese medicine research, such as effective basis of single and compound Chinese medicine research, component compatibility research, processing mechanism research, pharmacological effect forecast research, technology optimization research, and so on. This paper systematically reviewed the application of spectrum-effect relationship in Chinese medicine research, and indicated some problems in spectrum-effect relationship research. At last, the authors give an outlook of the future of spectrum-effect relationship research.