Chemical Fingerprinting and Quantification of Chinese Cinnamomi Cortex by Ultra High Performance Liquid Chromatography Coupled with Chemometrics Methods

Abstract

To rapidly clarify and quantify the chemical profiling of Cinnamomi cortex a reliable and feasible strategy of chromatographic fingerprinting with a suite of chemometrics methods was developed and validated by ultra-high performance liquid chromatography coupled with diode array detection. Furthermore, to identify more meaningful chemical markers, the chemometrics methods including hierarchical cluster analysis (HCA), principal component analysis (PCA) and similarity, which all generate quality evaluations and correlation classifications of Cinnamomi cortex, were used to improve the Cinnamomi cortex quality control standards. A total of 12 characteristic peaks were confirmed, seven of which were identified by comparing their retention times, UV and MS spectra with authentic compounds. Moreover, 11 analytes were accurately determined, as a complementary quantification method of chromatographic fingerprinting. For quantitative analyses, selective detection was performed at 254, 280 and 340 nm. The tested samples were separated and determined using UPLC and a series of methodologies including linearity, precision, accuracy, limit of detection and quantification and extraction recoveries were validated. Meanwhile the method bias for all the analytes did not exceed 5%. A total of 42 samples were acquired in China and analyzed. The results demonstrated that chromatographic fingerprinting in combination with chemometrics methods provides a promising and practical method to more effectively and comprehensively control the quality of Cinnamomi cortex from various sources, which would be a useful reference for the development and further study of Cinnamomi cortex and related formulations.

The effect and mechanism of Jiao-tai-wan in the treatment of diabetes mellitus with depression based on network pharmacology and experimental analysis

“…After searching the TCMSP database and the BATMAN-TCM database with the criteria of OB ≥ 30%, DL ≥ 0.18, and Score cutoff ≥ 30, combined with the results of related literature(Kin et al 2013 ; Ma et al 2018 ; Chae et al 2019 ), a total of 28 active compounds of JTW were initially obtained, namely 14 of HL and 14 of RG. The relevant information of these 28 active compounds can be found in the Additional file 1 : Table S1.…”

TLC-fingerprinting and chemometrics for identification of Curcuma xanthorrhiza from different geographical origins in Indonesia

“…Projections of the original data on PCs are called score plots, where the contribution of each original variable to the score is shown by its weight (loadings) to detect which variable is responsible for or can explain the clustering (Tistaert et al 2011). In CA, samples were grouped into clusters based on the distance between the cluster members; then, the results were presented in a dendrogram (Ma et al 2018) and analyzed with a chemometric method in the Minitab v.16 program (Minitab Inc., USA).…”

“…TLC-based fingerprint profiles are multivariate and, thus, require a special technique for their analysis, i.e., chemometrics. Chemometric methods, especially Principal Component Analysis (PCA) and Cluster Analysis (CA) have been used extensively for various purposes (e.g., distinguishing species and plant origin) owing to their ability to analyze the chemical profile of herbs objectively (Ma et al 2018;Sun et al 2018;Tan et al 2018;Huang et al 2018;Shen et al 2019). This study was designed to develop TLC-based fingerprint profiles of C. xanthorrhiza, followed by applying chemometrics to distinguish C. xanthorrhiza rhizomes collected from several regions and classify them according to shared chemical profiles.…”

Potential Molecular Mechanisms of JTW in the Treatment of Diabetes Mellitus and Depression Based on Network Pharmacology

“…After searching the TCMSP database and the BATMAN-TCM database and screening with the criteria of OB ≥ 30%, DL ≥ 0.18, and Score cutoff ≥ 30, combined with the results of related literature [32][33][34], a total of 28 active compounds of JTW were initially obtained, namely 14 of Huanglian and 14 of Rougui. The relevant information of these 28 active compounds can be found in the Supplementary Table 1.…”