[Spectrum-effect relationships on enriching blood activities of fresh and dry roots of Angelica sinensis].

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].

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.

[NIR Fingerprints of Different Medicinal Parts of Angelicae Sinensis Radix].

OBJECTIVE: To investigate the spectrum characteristics of near-intrared dittuse retlectance spectroscopy (NIR) fingerprint of different medicinal parts of Angelicae Sinensis Radix. METHODS: 96 batches of samples were collected from 14 counties of Gansu Province and Yunnan Province. The NIR fingerprints were collected by integrated sphere. Similarity analysis and partial least square discriminant analysis(PLS-DA) were used to analyze the fingerprint. RESULTS: The average spectrum of NIR fingerprint of different medicinal parts of Angelicae Sinensis Radix showed some differences; the absorbance in characteristic absorption was in a decreasing order of body > tail > head > whole. Most NIR fingerprint similarities of different medicinal parts of Angelicae Sinensis Radix exceeded 0. 95. The established model of PLS-DA could be used to accurately classify the medicinal parts of Angelicae Sinensis Radix. The differences of NIR fingerprints of different medicinal parts of Angelicae Sinensis Radix were mainly existing in the wave number ranges of 8,443 - 8,284 cm -1, 7,003 - 6,896 cm-1, 6,102 - 5,864 cm-1, 4,847 - 4,674 cm-1, and 4,386 - 4,208 cm-1. CONCLUSION: The different medicinal parts of Angelicae Sinensis Radix have some differences in chemical components.

[Correlation Analysis Between Common Peaks of Angelica sinensis HPLC Fingerprint and Mineral Elements in Its Growing Soil].

OBJECTIVE: To investigate the correlation between common peaks of Angelica sinensis HPLC fingerprint and mineral elements in its growing soil. METHODS: The fingerprints of 120 batches of Angelica sinensis from 12 habitats were determined by HPLC. The contents of Pb, As, Cr, Sb, Hg, Cu, Cd, Ni, Zn, Mg, Mn, Ca, Fe, Na and K in corresponding soil were determined by ICP-MS and AAS. Bivariate and multiple linear regression were used to analyze the correlation. RESULTS: There were significant ( P < 0. 01 or P < 0.05) positive and negative correlation between many common peaks in HPLC fingerprint of Angelica sinensis and mineral elements in its growing soil. The contribution of mineral elements in soil on peak 1 were Zn > K > Sb > Fe > Na; on peak 6 (3-butylphthalide) were Mn > Mg > Ca; on peak 7 were Cr > Zn; on peak 8 were Mn > Na; on peak 11 were As > K > Fe > Cd; on peak 12 were Zn > Mn > K; on peak 13 (Z-butylidenephthalide) were Mn > Zn > Cd; on peak 15 were Zn > K; on peak 16 were Fe > Ni; on peak 17 were Zn > Mn > Ni > Fe > K; on peak 18 were Zn > Na; peaks 2,3 (ferulic acid), 4 and 14 (Z-ligustilide) was mainly affected by As, Zn, Sb and Cu, respectively. CONCLUSION: The relationship between HPLC fingerprint peak of Angelica sinensis and mineral elements in its growing soil shows complexity, multiplicity and interactivity, which should be selectively examined during manuring micronutrient fertilizer and Angelica sinensis cultivation.

[Application of entropy-weight TOPSIS model in synthetical quality evaluation of Angelica sinensis growing in Gansu Province].

OBJECTIVE: To investigate the establishment and application methods of entropy-weight TOPSIS model in synthetical quality evaluation of traditional Chinese medicine with Angelica sinensis growing in Gansu Province as an example. METHODS: The contents of ferulic acid, 3-butylphthalide, Z-butylidenephthalide, Z-ligustilide, linolic acid, volatile oil, and ethanol soluble extractive were used as an evaluation index set. The weights of each evaluation index were determined by information entropy method. The entropyweight TOPSIS model was established to synthetically evaluate the quality of Angelica sinensis growing in Gansu Province by Euclid closeness degree. RESULTS: The results based on established model were in line with the daodi meaning and the knowledge of clinical experience. CONCLUSION: The established model was simple in calculation, objective, reliable, and can be applied to synthetical quality evaluation of traditional Chinese medicine.

[Study on the dynamic variations of Z-ligustilide and n-butylidenephthalide content in essential oil of radix angelicae sinensis from different growth period].

OBJECTIVE: To study the variation of the biomass of the root and active components of Angelica sinensis during different growth periods. METHODS: 27 batches of Angelica sinensis were harvested from different growth periods, and the biomass of underground parts were determined; The Gas Chromatography-Mass Spectrometry (GC-MS) was used for determining the contents of Z-ligustilide and n-Butylidenephthalide in essential oil of Radix Angelicae Sinensis. RESULTS: The average contents of n-Butylidenephthalide and Z-ligustilide were more than 1% and 40% in the total essential oil of Radix Angelicae sinensis respectively. Their contents showed larger difference during different growth period. CONCLUSION: The contents of Z-ligustilide and n-Butylidenephthalide of Radix Angelicae Sinensis is closely related to their growth period.

[Study on Chinese herb Astragalus membranceus by FTIR fingerprint].

UNLABELLED: The aim of the study is to find new approach to identifying different growth years and different producing areas of astragalus membranceus simply and rapidly. The FTIR spectrometry, which is accurate, simple and efficient and has high resolution, was used to obtain the sample's FTIR spectrometry. After simple separation and extraction, the drying powder of the sample was detected. In 22 samples, there were 9 common peaks for identifying the authenticity of astragalus membranceus and 5 different peaks. According to the number, shape, and relative intensity of the peak, different growth years and different producing areas of astragalus membranceus can be distinguished. CONCLUSION: It is convenient and fast to identify different growth years and different producing areas of astragalus membranceus by FTIR fingerprint.