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Published:Journal of Chromatographic Science,
ISSN 0021-9665 Volume
46, Number 8, September 2008, pp. 722-729
Optimization of Gradient Separation for Chromatographic Fingerprint of
Herbal Medicine: A Predictive Model Combined with Grid Search
Xiaoying Yin [1],[2], Weifeng Yao [1], Yuzhu Hu[1]
[1] Department of Analytical Chemistry, China Pharmaceutical University,
Nanjing
210009, China
[2] Department of Pharmacy, Jiangxi Univerisity of Traditional Chinese
Medicine,
Nanchang, 330004, China2
A four-step strategy is described which is aimed
at optimizing the separation parameters of the chromatographic
fingerprint of herbal medicines. In the optimization procedure,
a model is built to predict the retention time of components.
The proposed model shows good retention prediction potency with
an average relative deviation of 1.78%. The grid search method
is used in optimizing gradient parameters. In addition, an iterative
procedure is adopted to further improve the prediction accuracy
of the gradient retention time and the quality of the chromatogram.
The whole optimization process has been validated by real samples.
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