Chemical pattern recognition of Atractylodes chinensis from different producing areas and establishment of quantitative analysis of multi-components by single marker (QAMS) method for four components

Abstract

This study established the fingerprint and combined it with chemical pattern recognition to evaluate the quality of Atractylodes chinensis samples from different producing areas and then employed the quantitative analysis of multi-components by single marker(QAMS) method to verify the feasibility and applicability of the established method in the quality evaluation of A. chinensis. The fingerprints of A. chinensis samples were constructed via high performance liquid chromatography(HPLC) to evaluate the inter-batch consistency. With the quality control component atractylodin as the internal reference, the relative correction factors(RCFs) were established for atractylenolide Ⅰ, atractylenolide Ⅲ, and β-eudesmol and the content of the four components was calculated. The external standard method was used to verify the accuracy of QAMS method. The quality of A. chinensis was further evaluated by similarity analysis, clustering analysis, and principal component analysis. The fingerprints of 13 batches of samples were calibrated with 21 common peaks, and 4 common peaks were identified with the similarities all above 0.9. The RCFs established with atractylodin as the internal reference represented good reproducibility under different experimental conditions. Specifically, the RCFs of atractylenolide Ⅰ, atractylenolide Ⅲ, and β-eudesmol in A. chinensis were 2.091, 4.253, and 6.010, respectively. QAMS and ESM showed no significant difference in the results, indicating that the QAMS method established in this study was stable and reliable. Thus, HPLC fingerprint combined with QAMS can be used for the quality evaluation of A. chinensis, providing a basis for comprehensive and rapid quality evaluation of A. chinensis.