Figure 1
PhytomicsQC. PhytomicsQC integrates technologies for chemical marker compound analysis and chemical fingerprints, comprehensive bioresponse fingerprints and in vivo animal pharmacology validation. Currently, it combines LC/MS analysis to provide a global phytochemical fingerprint and a bioresponse differential gene expression profile to establish a multiplexed, quantitative metric for botanical quality control. A relevant animal model is used to define and validate the quality control metric and to help set batch acceptance criteria. Information-rich patterns are analyzed and compared with an established, well-characterized batch used for clinical studies. A statistical similarity score based on the ratios of the various measured data values within the pattern and varying typically between 0.0 and 1.0 is used to define pass/no-pass criteria for both the chemical and biological fingerprints.