Comprehensive quality evaluation of Guge fengtong tablets / 中国药房

OBJECTIVE To establish a method for the content determination of 11 components such as protodioscin in Guge fengtong tablets， and to evaluate the comprehensive quality of Guge fengtong tablets by combining with chemometric analysis and entropy weight-technique for order preference by similarity to ideal solution （EW-TOPSIS） method. METHODS HPLC method was adopted. The determination was performed on Agilent Eclipse Plus C18 column with a mobile phase consisted of acetonitrile- 0.2% phosphoric acid solution at the flow rate of 1.0 mL/min by gradient elution. The column temperature was set at 30 ℃ . The detection wavelengths were set at 203 nm （0-28 min， protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin） and 280 nm （28-60 min， catechin， epicatechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol， 10-gingerol）； the sample size was 10 μL. Using epicatechin as the internal reference， quantitative analysis of multi-components by single marker （QAMS） method was used to determine the contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol and 10-gingerol， which were compared with the results of the external standard method. SPSS 26.0 software and SIMCA 14.1 software were used for principal component analysis and orthogonal partial least squares-discriminant analysis， with variable importance in projection （VIP） value greater than 1 as the standard， to screen for differential markers that affect the quality； the EW-TOPSIS method was adopted to evaluate the quality of 15 batches of samples comprehensively.RESULTS The contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medi-carpin， 6-gingerol， 8-gingerol and 10-gingerol determined by HPLC combined with QAMS were 6.330-10.863， 1.150-2.274， 0.431- 0.740， 2.818-4.823， 0.826-1.510， 0.043-0.094， 0.079-0.231， 0.479-1.020， 0.146-0.288， 0.118-0.318 mg/g， respectively； there were no statistical significances， compared with the external standard method （P＞0.05）. A total of 15 batches of samples were clustered into 3 groups， with S1-S6， S7-S10， and S11-S15 clustered into one group， respectively. The VIP values of protodioscin， epicatechin， dioscin and 6-gingerol were greater than 1. Euclidean closeness values of the optimal solution （C）i for 15 batches of samples were 0.163 5 to 0.703 7， and Ci values of S11-S15 were all higher than 0.6. CONCLUSIONS The established QAMS method is accurate and simple， and can be used for comprehensive quality evaluation of Guge fengtong tablets， by combining with chemometric analysis and EW-TOPSIS method. Protodioscin， epicatechin， dioscin and 6-gingerol are the differential markers that affect the quality of Guge fengtong tablets. Samples S11-S15 have better quality.

Quality evaluation of Qilong Zhuang'er oral liquid based on UHPLC-Q-exactive orbitrap MS and chemometrics analysis / 药学学报

An UHPLC-Q-exactive orbitrap MS method for the simultaneous determination of 19 chemical components in Qilong Zhuang'er oral liquid was established and the quality differences between different batches of samples was compared by chemometric analysis to provide a basis for the quality evaluation of the preparation. The contents of allantoin, L-proline, pyroglutamic acid, hordenine, adenosine, L-phenylalanine, guanosine, L-tryptophan, caffeic acid, calycosin-7-glucoside, verbascoside, isoacteoside, ononin, calycosin, 3-hydroxy-9,10-dimethoxyptercarpan, formononetin, atractylenolide III, atractylenolide II and astragaloside A were analyzed by cluster heat map, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) using Hiplot platform and MarkerlynxXS software to comprehensively evaluate the quality difference of different batches of Qilong Zhuang'er oral liquid. The 19 chemical compounds showed good linearity in their respective concentration ranges (r ≥ 0.999). The RSD of precision, repeatability and stability (24 h) tests were all less than 1.94%. The average recovery was 97.24%-102.75% (RSD < 2.74%, n = 6). The 10 batches of samples were divided into two categories by cluster heat map and PCA analysis. 3-Hydroxy-9,10-dimethoxyptercarpan, atractylenolide III, calycosin, atractylenolide II, formononetin, allantoin and caffeic acid were identified as differential markers by PLS-DA. The established multi component quantitative method of Qilong Zhuang'er oral liquid combined with chemometric analysis can provide reference for the quality evaluation of the preparation.

Establishment and Analysis of the Fingerprints of Adiantum capillusveneris from Different Producing Areas and Content Determination of Its Differential Components / 中国药房

OBJECTIVE：To establish the fingerprint of Adiantum capillusveneris from different producing areas ，and to conduct chemometric analysis and content determination of differential components ，so as to provide reference for quality control of A. capillusveneris . METHODS ：HPLC-DAD combined with Similarity Evaluation System of TCM Chromatogramtic Fingerprint （2004 A edition ）were used to establish fingerprint of 19 batches of A. capillusveneris from different producing areas （S1-S19）. Common peaks were confirmed and their similarities were evaluated. Chemometric analysis methods such as cluster analysis ， principle component analysis （PCA），orthogonal partial least squares discriminant analysis （OPLS-DA）were used to evaluate the quality of 19 batches of A. capillusveneris from different producing areas ，screen the differential components ，and determine the contents of some differential components. RESULTS ：Among 19 batches of A. capillusveneris from different producing areas ，22 common peaks were confirmed ；peak 9 was chlorogenic acid ，peak 17 was quercetin- 3-O-β-D-glucopyranoside，peak 20 was kaempferol-3-O-rutoside；the similarity of 19 batches of sample were 0.677-0.962. Through cluster analysis ，it was found that S 7 and S 10 were clustered into one category ；S15 and S 18 were clustered into one category ；and S 1-S6，S8，S9，S11-S14，S16，S17 and S 19 were clustered into one category. PCA and OPLS-DA found that S 7 and S 10 were clustered into one category ；S15 were clustered into one category ；S18 were clustered into one category ；S1-S6，S8，S9，S11-S14，S16，S17 and S 19 were clustered into one category. Chlorogenic acid ，quercetin-3-O-β-D-glucopyranoside，kaempferol-3-O-rutoside and chemical composition represented by peak 14 were the differential components of the〔2017〕2841）； medicinal material. Among 19 batches of A. capillusveneris ， average contents of chlorogenic acid and quercetin- 3-O-β-D- glucopyranoside and kaempferol- 3-O-rutoside were 0.10-4.25， 0.31-7.11，0.61-12.00 mg/g，respectively. CONCLUSIONS ： 电话：0851-86614212。 HPLC-DAD fingerprints of A. capillusveneris from different producing areas are establishe d in the study ，and three common peaks are identified. Four differential components affecting the quality of A. capillusveneris are screened ， and the contents of chlorogenic acid ， quercetin-3-O-β-D-glucopyranoside and kaempferol-3-O-rutoside in A. capillusveneris from different producing areas were significantly different.

Quality Evaluation of Glycyrrhiza uralensis Fisch. in Different Harvest Periods Based on Combinative Methods of HPLC Specific Chromatogram, Multi-Component Assay, and Chemometrics / 中国药学杂志

OBJECTIVEP: To evaluate comprehensively the quality of Glycyrrhiza uralensis Fisch. in different harvest periods by chemometric analysis based on the HPLC specific chromatogram and multi-component assay. METHODS: The similarity was analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica 2012". t-test, correlation analysis, clustering analysis(HCA), principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used for data analysis. RESULTS: Twenty-one peaks were selected as common peaks of the fingerprint. The similarity of the samples were above 0.9. The contents of liquiritin, glycyrrhizic acid, liquiritin apioside, isoliquiritin apioside, isoliquiritin, neoisoliquiritin, echinatin, and liquiritigenin were determined.There were some differences in the quality of Glycyrrhiza uralensis Fisch. in different harvest periods, with liquiritin apioside, neoisoliquiritin and echinatin as the main compounds of difference. CONCLUSION: Autumn is confirmed as the best harvesting period of Glycyrrhiza uralensis Fisch. by chemometric analysis. It is suggested that liquiritin apioside should be used as the key quality control indicator for evaluating Glycyrrhiza uralensis Fisch.in different harvest periods.

Chemical characterization of two morphologically related Espeletia (Asteraceae) species and chemometric analysis based on essential oil components

ABSTRACT In this study, a comprehensive phytochemical characterization of two morphologically related species from the genus Espeletia Mutis ex Bonpl., namely, Espeletia grandiflora Humb. & Bonpl. and Espeletia killipii Cuatrec., Asteraceae, has been performed by gas chromatography coupled to flame ionization detection, gas chromatography coupled to mass spectrometry and ultra-high performance liquid chromatography coupled to ultraviolet and high-resolution mass spectrometry. Analysis of ethanol extracts (70%, v/v) from leaves and concomitant compound dereplication allowed the identification of major peaks, most of them new reports for the genus Espeletia or the subtribe Espeletiinae. Chemical characterization of resins essential oils indicated several similarities and differences between both species and from other members of the subtribe. Chemometric analysis (hierarchical clustering analysis and orthogonal partial least-squares discriminant analysis) applied to the essential oil composition of 31 species from Espeletiinae furthermore allowed the identification of three primary clusters correlated with the taxonomy. Hence, this study underscored qualitative and semiquantitative differences between the chemical composition of leaves and resins of E. grandiflora and E. killipii, provided information on chemotaxonomy and described the presence of different trends in the essential oil composition from species of Espeletiinae.

Multivariate analysis of the effects of soil parameters and environmental factors on the flavonoid content of leaves of Passiflora incarnata L., Passifloraceae / Análise multivariada dos efeitos dos parâmetros do solo e fatores ambientais no teor de flavonoides das folhas de Passiflora incarnata L., Passifloraceae

The aim of the present study was to evaluate the effect of soil characteristics (pH, macro- and micro-nutrients), environmental factors (temperature, humidity, period of the year and time of day of collection) and meteorological conditions (rain, sun, cloud and cloud/rain) on the flavonoid content of leaves of Passiflora incarnata L., Passifloraceae. The total flavonoid contents of leaf samples harvested from plants cultivated or collected under different conditions were quantified by high-performance liquid chromatography with ultraviolet detection (HPLC-UV/PAD). Chemometric treatment of the data by principal component (PCA) and hierarchic cluster analyses (HCA) showed that the samples did not present a specific classification in relation to the environmental and soil variables studied, and that the environmental variables were not significant in describing the data set. However, the levels of the elements Fe, B and Cu present in the soil showed an inverse correlation with the total flavonoid contents of the leaves of P. incarnata.

O objetivo deste trabalho foi avaliar os efeitos do solo (pH, macro e micronutrientes), fatores ambientais (temperatura, umidade, época do ano e período da coleta) e condições meteorológicas (chuva, sol, nublado, nublado com chuva) no teor de flavonoides das folhas de Passiflora incarnata L. (Passifloraceae), através do tratamento quimiométrico dos dados por PCA (análise de componentes principais) e HCA (análise hierárquica de agrupamentos). Os flavonoides totais foram quantificados por cromatografia líquida de alta eficiência-detecção por ultravioleta (CLAE-UV/DAD). As análises por PCA e HCA mostraram que as amostras de Passiflora não apresentam uma classificação específica em relação às variáveis estudadas e que as variáveis do meio ambiente não são relevantes para descrever o modelo estudado, porém os elementos do solo Fe, B e Cu demonstraram correlação inversa à concentração dos flavonoides totais.