Establishing the chromatographic fingerprint of traditional Chinese medicine standard decoction based on quality by design approach: A case study of Licorice. Issue 6 (28th January 2019)

• Record Type: Journal Article
• Authors: Zhang, Hui; Wang, Jianan; Chen, Yan; Shen, Xiaowei; Jiang, Huijie; Gong, Xingchu; Yan, Jizhong
• Is Part Of: Journal of separation science. Volume 42:Issue 6(2019)
• Page Start: 1144
• Page End: 1154
• Publication Date: 2019-01-28
• Subjects: design space -- fingerprint -- licorice -- quality by design -- traditional Chinese medicine; Separation (Technology) -- Periodicals; Chromatographic analysis -- Periodicals; 543.089
• DOI: 10.1002/jssc.201800989
• Languages: English
• ISSNs: 1615-9306

Abstract

Abstract: A novel analytical quality by design approach for developing a chromatographic fingerprint was established for analyzing complex traditional Chinese medicine, using a licorice standard decoction as an example. Considering the characteristics of integrity and ambiguity, the resolution of eight common peaks, total peak number, capacity factor distributions, and peak purity were selected as potential critical method attributes for assessing the quality of the chromatographic fingerprint. A central composite design was used to evaluate the relationship between critical method attributes and critical method parameters, including column temperature, wavelength, flow rate, formic‐acid concentration, and gradient parameters. A standard probability method was employed to calculate the design space of the fingerprint analysis parameters and evaluate the robustness of the methodology. The optimized high‐performance liquid chromatography fingerprint conditions were acetonitrile and 0.1% formic acid water gradient elution (0‐5 min, 5–19% A; 5–10 min, 19% A; 10–50 min, 19–42% A; 50–54 min, 42–100% A; 54–60 min, 100% A), column temperature 25±5°C, detection wavelength 265 nm. The design space of fingerprint analytical method based on the analytical quality by design approach not only met the requirements of the fingerprint analysis, but also improved the robustness and applicability of the fingerprint method.