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Published on: December 21, 2019
In silico production of relative correction factor for the quantitative analysis of multi-components by single marker
Ying-Hao Yin1, Jia-Yi Zheng1, Xin-Nan Wang1
1State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, China.
Introduction:
Traditional methods to derive experimentally-generated relative correction factors (RCFs) for the quantitative analysis of herbal multi-components by single marker (QAMS) method require reference standards and multiple validations with different instruments and columns, which hampers high throughput implementation.
Objectives:
To effectively reduce the application amounts of raw material and provide higher and more stable accuracy, this study aimed to develop a method to computationally generate RCFs of herbal components.
Materials And Methods:
This strategy included the published data collection, calibration curves screening, computer algorithm-based RCFs generation and accuracy validation.
Results:
Using the in silico approach, we have successfully produced 133 RCFs for the multi-component quantitative analysis of 63 widely used herbs.
Conclusion:
Compared with conventional RCFs, this in silico method would be a low cost and highly efficient way to produce practical RCFs for the QAMS method.
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