Optimization of ultrasonic-assisted extraction of bioactive compounds from Bupleuri Radix by response surface methodology and HPLC analysis

  • Jiachen Sun
  • Xuejiao Li
  • Zhuo Qu
  • Shengjie Dong
  • Hui Zhao
Keywords: Raw Bupleuri Radix, Vinegar-baked Bupleuri Radix, Saikosaponins, Quantitative analysis of multi-components by a single-marker, Response surface methodology

Abstract

A simple and efficient ultrasonic-assisted extraction of bioactive compounds from raw Bupleuri Radix and vinegar-baked Bupleuri Radix was developed and optimized by using quantitative analysis of multi-components by a single-marker combined with response surface methodology approaches. The quantitative analysis of multi-components by a single-marker analytical method based on high-performance liquid chromatography coupled with a photodiode array detector was established and applied to determine the contents of six bioactive compounds in raw Bupleuri Radix and vinegar-baked Bupleuri Radix. In order to maximize extraction of six bioactive compounds in raw Bupleuri Radix and vinegar-baked Bupleuri Radix, the ultrasonic-assisted extraction conditions were obtained by the response surface methodology coupled with Box–Behnken design. The conditions of ultrasonic-assisted extraction were found to be effective for the extraction of bioactive compounds from raw Bupleuri Radix and vinegar-baked Bupleuri Radix. The test results showed that the difference in saikosaponins contents in these samples was obvious; a quantitative analysis of saikosaponins will contribute significantly to improving the quality control of raw Bupleuri Radix and vinegar-baked Bupleuri Radix. In conclusion, the designed protocol is suitable for the quality control of raw Bupleuri Radix and vinegar-baked Bupleuri Radix.

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Published
2022-09-30
How to Cite
Sun, J., Li, X., Qu, Z., Dong, S., & Zhao, H. (2022). Optimization of ultrasonic-assisted extraction of bioactive compounds from Bupleuri Radix by response surface methodology and HPLC analysis. Journal of Food Bioactives, 19. https://doi.org/10.31665/JFB.2022.18321
Section
Original Research