Pre-column Derivatization RP-HPLC for Simultaneous Determination of 17 Amino Acids in Cynomorii Herba from Different Producing Areas and Its Multivariate Statistical Analysis / 中国实验方剂学杂志

Objective::To establish a pre-column derivatization reverse-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous determination of 17 amino acids in Cynomorii Herba from different producing areas and conduct a multivariate statistical analysis. Method::RP-HPLC with pre-column derivatization was employed, with phenyl isothiocyanate (PITC) as derivatization reagent. Separation was performed on a WondaSil C18-WR column (4.6 mm×150 mm, 5 μm), with 0.05 mol·L-1 sodium acetate solution (pH 6.5) as mobile phase A, and acetonitrile-methanol-water (3∶1∶1) as mobile phase B for gradient elution at a flow rate of 0.8 mL·min-1. The detective wave length was set at 254 nm, and the column temperature was maintained at 35 ℃. Principal component analysis (PCA) and systematic cluster analysis (HCA) models were established for multivariate statistical analysis and quality evaluation. Result::17 Kinds of amino acid were detected in Cynomorii Herba, 7 of which were essential amino acids. The 17 amino acids showed good linearity in respective concentration range, r = 0.999 0-0.999 9.The average recoveries were between 98.03%-103.89%with RSD<3.5%. The results of PCA and HCA were basically the same, and both methods can be used to clearly distinguish Cynomorii Herba from 12 municipal producing areas into 6 regions. PCA can be used to classify Cynomorii Herba according to different municipal or provincial production areas, and HCA can be used to classify it according to provincial production areas. It showed that the amino acid contents in Cynomorii Herba from different municipal and provincial producing areas had differences, and the content distribution showed obvious geographical clustering characteristics. PCA showed that Cynomorii Herba from Gansu province and Inner Mongolia had higher amino acid contents and better quality as compared with other producing areas. Conclusion::The established method can be used for content determination of 17 amino acids in Cynomorii Herba from different producing areas, and provide a reference for its comprehensive quality evaluation.

Spectrum-effect relationships on enriching blood activities of fresh and dry roots of Angelica sinensis / 中国中药杂志

Ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(LC-MS) was used to establish the chromatography fingerprint for fresh(FRAS) and dry(RAS) roots of Angelica sinensis from 10 different places. The rat model of blood deficiency was established by acetyl-phenyl-hydrazine(APH) and cyclophosphamide(CTX). Then grey relational analysis(GRA) and partial least squares regression(PLS) were used to investigate the spectrum-effect relationship between the relative contents and the data of enriching blood pharmacodynamics efficacy. The results showed that the FRAS and RAS had certain enriching blood activities(P<0.05). The contribution degree of the FRAS and RAS to enriching blood activities of each common peaks were determined by regression coefficient. Among them, 4 common peaks contributed significantly to the effect of enriching blood activities, P1(unknown), P2(unknown), P7(ferulic acid), and P11(senkyunolide A) respectively. This paper investigated the spectrum-effect relationship between enriching blood activities and LC-MS chromatography fingerprint of RAS and FRAS, and determined the effective compositions of RAS and FRAS with enriching blood activities. It lays a theoretical foundation for the comprehensive development and utilization of A. sinensis.

Spectrum-effect relationships on enriching blood activities of aerial parts of Angelica sinenis / 中国中药杂志

Ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) was used to establish the chromatography fingerprint for aerial parts of Angelica sinenis(AAS) from 10 different places. Acetyl-phenyl-hydrazine(APH) was used to duplicate the mouse model of blood deficiency. Then partial least squares regression was used to investigate the spectrum-effect relationship between the relative contents and the data of enriching blood pharmacodynamics efficacy. The results showed that the three groups of high, medium and low doses of AAS had certain enriching blood activities(P<0.05), and the high dose group had the best effect(P<0.01). The contribution degree of the AAS to enriching blood activities of each common peaks were determined by PLS regression coefficient. Among them, 7 common peaks, including P17(unknown), P18(unknown), P19(unknown), P28(alisol B 23-acetate or its isomer), N5(luteolin), N11(1-caffeoylquinicacid,1-O-caffeoylquinic acid) and N14(unknown), contributed significantly to the effect of enriching blood activities. This paper dealed with the investigation on the spectrum-effect relationship between enriching blood activities and LC-MS chromatography fingerprint of AAS, and determination of the effective compositions of AAS with enriching blood activities. It provided theoretical foundation for the comprehensive development and utilization of AAS.

Relationship Between Volatile Components in Angelicae Sinensis Radix from Different Regions in Gansu Province and Its Growing Environment with GC-MS-based Metabolomics / 中国中医药信息杂志

Objective To explore the relationship between the volatile components in Angelicae Sinensis Radix from different regions of Gansu Province and its growing environment with metabolomics based on GC-MS. Methods The GC-MS method was used for detecting the volatile components in Angelicae Sinensis Radix from 31 different regions in Gansu province, and principal component analysis (PCA) and partial least squares (PLS) methods were used for analyzing and evaluating its relationship with the growing environment. Results The results of PCA showed that the volatile components in Angelicae Sinensis Radix from different regions in Gansu province were related to the altitude and the soil types. The PLS method could divide 31 samples of Angelicae Sinensis Radix from different regions in Gansu Province into three groups according to the difference of altitude. There were significant differences in the volatile components in the samples taken at different altitude regions. After analyzing linear loading plots from PCA and PLS, 11 charateristic components were screened out, including 7 compounds were identified by the retrieval of NIST11 database. Conclusion The volatile components in Angelicae Sinensis Radix from different regions in Gansu Province are closely related to the altitude and the soil type.