College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, P. R. China.
Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
J Sep Sci. 2019 Mar;42(6):1144-1154. doi: 10.1002/jssc.201800989. Epub 2019 Jan 28.
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.
建立了一种新颖的分析质量源于设计方法,以分析复杂的中药,以甘草标准汤剂为例。考虑到整体性和模糊性的特点,选择了八个常见峰的分辨率、总峰数、容量因子分布和峰纯度作为评估色谱指纹质量的潜在关键方法属性。采用中心组合设计来评估关键方法属性与关键方法参数之间的关系,包括柱温、波长、流速、甲酸浓度和梯度参数。采用标准概率法计算指纹分析参数的设计空间,并评估方法的稳健性。优化的高效液相色谱指纹条件为乙腈和 0.1%甲酸水梯度洗脱(0-5 分钟,5-19%A;5-10 分钟,19%A;10-50 分钟,19-42%A;50-54 分钟,42-100%A;54-60 分钟,100%A),柱温 25±5°C,检测波长 265nm。基于分析质量源于设计方法的指纹分析方法的设计空间不仅满足了指纹分析的要求,而且提高了指纹方法的稳健性和适用性。