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Objective:To study HPLC fingerprints of Achyranthis Bidentatae Radix from different origins,compare different specifications in the same origin,and explore the effect of origin and specifications on the quality of Achyranthis Bidentatae Radix and relationship between the specifications and the internal quality of Achyranthis Bidentatae Radix, in order to provide basis for the identification of its origin. Method:The HPLC fingerprints of Achyranthis Bidentatae Radix from different origins and with different specifications in the same origin were collected. The similarity analysis,cluster analysis and principal component analysis were adopted to analyze the fingerprints,the differences in fingerprints of Achyranthis Bidentatae Radix from different origins and with different specifications in the same origin were compared. Result:Analysis of different origins and principal component analysis could be used to distinguish Achyranthis Bidentatae Radix from five producing areas,and the identification results of origin analysis was better than those of cluster analysis and similarity analysis. Analysis of different specifications, similarity analysis or principal component analysis could not distinguish Achyranthis Bidentatae Radix with different specifications. Conclusion:There are significant differences in chemical composition and peak height among Achyranthis Bidentatae Radix from different origins,with less differences in chemical composition and peak height of Achyranthis Bidentatae Radix with different specifications, the principal component analysis could be used to identify origins of Achyranthis Bidentatae Radix.
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Objective: To establish high performance thin layer chromatography (HPTLC) fingerprint of the total saponins from Aralia elata leaves, and compare the difference of components in A. elata leaves from different harvest time and different regions.Method: High efficiency silica gel G thin sheet (20 cm×20 cm) was used,with chloroform-methanol-ethyl acetate-water (9.5:10:20:0.5:5) as developing system,ethanol solution of 10% concentrated sulfuric acid as chromogenic reagent,heating at 100℃ in constant-temperature air dry oven until clear spots. The fluorescence HPTLC chromatogram fingerprints were obtained under 365 nm ultraviolet light. Speckle patterns were obtained by software processing and the common pattern was established for similarity analysis and cluster analysis.Result: The HPTLC fingerprints with good separation and clear spots were obtained and the common pattern of fingerprints was established. The common pattern was composed of 10 common speckled peaks,4 of which were identified for components. The results showed that samples in early August to mid September from different regions had good similarity. 11 samples of different batches were clustered into one class.Conclusion: The HPTLC method is simple, fast and reliable, and can be used for the identification and quality evaluation of medicinal materials of A. elata leaves. The A. elata leaves collected in August conform to the quality standard, so they can be used as medicinal materials.
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In this study, we propose a new two-dimensional graphical representation of DNA sequence based on a choice of four horizon lines. The 2D representation is constructed in a probabilistic framework. Following the new approach, we perform the similarity analysis among coding sequences of the first exon of beta-globin gene from eleven species. Our results coincide with current biological analyses. We also compare our method with some existing DNA sequence comparison algorithms and find that ours is more intuitive and effective.
Neste estudo, propomos uma nova representação gráfica bidimensional da sequência de DNA baseada na escolha de quatro linhas horizontais. A representação 2D é construída em uma estrutura probabilística. Seguindo a nova abordagem, realizamos a análise de similaridade entre as seqüências codificantes do primeiro exon do gene da beta-globina de onze espécies. Nossos resultados coincidem com as análises biológicas atuais. Também comparamos nosso método com alguns algoritmos de comparação de sequências de DNA existentes e descobrimos que o nosso é mais intuitivo e eficaz.
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DNA , ChartABSTRACT
Objective To study the FT-IR fingerprint characteristics of Hedysari Radix from 8 producing counties in Gansu Province; To provide references for identification and application of Hedysari Radix in different producing counties. Methods FT-IR fingerprints of 110 batches of Hedysari Radix from 8 producing counties in Gansu Province were collected in the wave number range of 4000–400 cm-1. The common pattern of the fingerprints were analyzed, and the similarity analysis were used to analyze the FT-IR fingerprints of Hedysari Radix from 8 producing counties. The FT-IR fingerprint characteristics of Hedysari Radix from 8 producing counties in Gansu Province were compared. Results The rank of average similarity of FT-IR fingerprints of Hedysari Radix from 8 producing counties was Tanchang County > Li County > Xihe County > Wudu District > Zhang County > Min County > Longxi County >Weiyuan County, and Hedysari Radix from Longxi County and Weiyuan County were very different from other producing counties. The FT-IR fingerprints of Hedysari Radix from Longnan City (Tanchang County, Li County, Xihe County and Wudu District) were similar, and the average similarity was relatively high; while that from Dingxi City (Zhang County, Min County, Longxi County and Weiyuan County) were similar, and the average similarity was relatively low. Hedysari Radix from every producing county had a significant and unique FT-IR fingerprint characteristic. Conclusion The identification and application of Hedysari Radix from 8 producing counties in Gansu Province can be realized according to FT-IR fingerprint characteristics.
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AIM To analyze and compare HPLC fingerprints of wanai and Artemisiae argyi Levi.et Vant from thirty-one growing areas by multistatistical.METHODS The analysis of 80％ methanol extract of A.argyi was developed on a 30 ℃ thermostatic Agilent TC-C18 column (4.6 mm × 250 mm,5 μm),with the mobile phase comprising of acetonitrile-water (containing 0.2％ methanoic acid) flowing at 1 mL/min in a gradient elution manner,and the detection wavelength was set at 330 nm.RESULTS There were eighteen,twenty-five common peaks in the fingerprints of thirty-one batches of A.argyi,fifteen batches of wanai,respectively,with the similarities all more than 0.900.The similarities of thirty-one batches of samples from different growing area were good and together as a category except samples from Dengzhou city,Luohe city and Anhui province.Fifteen batches of wanai samples got together with Qiai among them.The cumulative contribution rate of the four principal components from A.argyi was 86.049％.Twelve batches of wanai samples had higher scores than Qiai.CONCLUSION This stable and reliable method can be used for the quality control of A.argyi.
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To study 48 h processing time of Polygoni Multiflori Radix on its contents and changes of chemical components. HPLC was used to determine the contents of various components in 22 Polygoni Multiflori Radix samples with different processing time, and then the fingerprint similarity analysis and clustering analysis were used for characteristics analysis. Results showed that the similarity was between 0.9-1.0, with good correlation between the samples. In the clustering analysis, the 22 Polygoni Multiflori Radix and processed Polygoni Multiflori Radix samples were classified into 4 types according to the composition changes. The results demonstrated that 4-5 h was the best processing time, providing references for quality control and further study of Polygoni Multiflori Radix.
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Objective: To establish fingerprint analysis method by UPLC for the quality control of Carthamus tinctorrius, and provide comprehensive evaluation of their quality in different regions and different varieties. Methods: The software "Similarity Evaluation System for Chromatographic Fingerprint of TCMs" (Version 2010A) was employed to generate the mean chromatogram and carry out the similarity analysis of the samples. Cluster analysis was adopted in combination with principal component analysis to study 30 batches from Xinjiang C. tinctorrius characteristic common peaks and to differentiate the Carthamus tinctorrius L resources. Results: A specific UPLC fingerprint of C. tinctorrius from Xinjiang province had been set up and establelished and 26 common peaks were designated. The results showed that the qualities of 30 batches of samples from Xinjiang province and four sets from Henan have significant differences and the samples collected different varieties from same region and differnent regions both had certainly differences. The difference among chromatographic fingerprints of C. tinctorrius samples were identified by cluster analysis and principal component analysis. Conclusion: UPLC fingerprint is an available, convenient, and reliable method, which can be used to access the quality of C. tinctorrius.
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OBJECTIVE:To establish HPLC fingerprints of taproot and rhizome of Paenoia lactiflora,and to compare the similarity and difference of them.METHODS:The determination was performed on Phenomenex C18 column with mobile phase consisted of acetonitrile-0.1％ phosphoric acid (gradient elution) at the flow rate of 1.0 mL/min.The detection wavelength was set at 230 nm,and column temperature was 30 ℃.The sample size was 10 tL.Using paeoniflorin as reference,HPLC chromatograms of the taproot and rhizome of P lactiflora were established.Common peak identification and similarity evaluation were performed by using TCM Chromatogram Fingerprint Similarity Evaluation System (2012 edition).RESULTS:There were 9 common peaks in HPLC chromatograms of taproot and rhizome of P lactiflora.The similarity of taproot with rhizome of P lactiflora was higher than 0.9.CONCLUSIONS:Established fingerprints can provide reference for identification and quality evaluation of P lactiflora.The effective constituent of taproot and rhizome of P lactiflora are uniform but have small difference.
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Objective To evaluate the quality coherence of Trillium tschonoskii Maxim.from different producing areas by HPLC fingerprint and PCA; To provide a method for quality control. Methods Samples were separated by Hibar C18 (4.6 mm × 250 mm, 5 μm) with acetonitrile-water as gradient mobile phase at the flow rate of 1.0 mL/min. The wavelength was 203 nm and the temperature was 30 ℃. Chromatographic Fingerprint Similarity Evaluation System and PCA were used to analyze the data. Results The results of method validation of HPLC fingerprint met technical standards.15 common peaks was verified and the similarities of 14 batches of Trillium tschonoskii Maxim. from different producing areas were among 0.389–0.979. 3 principal components with the characteristic root cumulative contribution rate reaching 87.674% were screened out by PCA results. The composite score of S2 was the highest (4.926), and the quality was the best. Conclusion The application of HPLC combined with PCA can objectively and effectively evaluate the quality difference of Trillium tschonoskii Maxim.from different producing areas.
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OBJECTIVE:To establish HPLC fingerprints of taproot and rhizome of Paenoia lactiflora,and to compare the similarity and difference of them.METHODS:The determination was performed on Phenomenex C18 column with mobile phase consisted of acetonitrile-0.1％ phosphoric acid (gradient elution) at the flow rate of 1.0 mL/min.The detection wavelength was set at 230 nm,and column temperature was 30 ℃.The sample size was 10 tL.Using paeoniflorin as reference,HPLC chromatograms of the taproot and rhizome of P lactiflora were established.Common peak identification and similarity evaluation were performed by using TCM Chromatogram Fingerprint Similarity Evaluation System (2012 edition).RESULTS:There were 9 common peaks in HPLC chromatograms of taproot and rhizome of P lactiflora.The similarity of taproot with rhizome of P lactiflora was higher than 0.9.CONCLUSIONS:Established fingerprints can provide reference for identification and quality evaluation of P lactiflora.The effective constituent of taproot and rhizome of P lactiflora are uniform but have small difference.
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Objective To evaluate the quality coherence of Trillium tschonoskii Maxim.from different producing areas by HPLC fingerprint and PCA; To provide a method for quality control. Methods Samples were separated by Hibar C18 (4.6 mm × 250 mm, 5 μm) with acetonitrile-water as gradient mobile phase at the flow rate of 1.0 mL/min. The wavelength was 203 nm and the temperature was 30 ℃. Chromatographic Fingerprint Similarity Evaluation System and PCA were used to analyze the data. Results The results of method validation of HPLC fingerprint met technical standards.15 common peaks was verified and the similarities of 14 batches of Trillium tschonoskii Maxim. from different producing areas were among 0.389–0.979. 3 principal components with the characteristic root cumulative contribution rate reaching 87.674% were screened out by PCA results. The composite score of S2 was the highest (4.926), and the quality was the best. Conclusion The application of HPLC combined with PCA can objectively and effectively evaluate the quality difference of Trillium tschonoskii Maxim.from different producing areas.
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It recently becomes an important and urgent mission for modern scientific research to identify and explain the theory of traditional Chinese medicine (TCM), which has been utilized in China for more than four millennia. Since few works have been contributed to understanding the TCM theory, the mechanism of actions of drugs with cold/hot properties remains unclear. In the present study, six kinds of typical herbs with cold or hot properties were orally administered into mice, and serum and liver samples were analyzed using an untargeted nuclear magnetic resonance (NMR) based metabolomics approach coupled with similarity analysis. This approach was performed to identify and quantify changes in metabolic pathways to elucidate drug actions on the treated mice. Our results showed that those drugs with same property exerted similar effects on the metabolic alterations in mouse serum and liver samples, while drugs with different property showed different effects. The effects of herbal medicines with cold/hot properties were exerted by regulating the pathways linked to glycometabolism, lipid metabolism, amino acids metabolism and other metabolic pathways. The results elucidated the differences and similarities of drugs with cold/hot properties, providing useful information on the explanation of medicinal properties of these TCMs.
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Animals , Male , Mice , Drugs, Chinese Herbal , Chemistry , Metabolism , Liver , Chemistry , Metabolism , Medicine, Chinese Traditional , Metabolomics , Mice, Inbred ICR , Molecular Structure , Plants, Medicinal , Chemistry , Serum , Chemistry , MetabolismABSTRACT
The technology of network analysis,based on a variety of disciplines theory,is the core technology in the research of network pharmacology,through which we can mine specified information from molecular networks from multi-angle and multi-level. It has been used to investigate and obtain valuable information about the ingredients/drugs with specific pharmacological effects ,the key nodes,modules and motifs with specific biological function,and physiological mechanism of drug action,pathogenesis of dis?ease,or biomarker of disease,especially for the complex disease represented by Alzheimer′s disease(AD). In this paper,the general techniques of network analysis in network pharmacology study are reviewed.
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The technology of network analysis, based on a variety of disciplines theory, is the core technology in the research of network pharmacology, through which we can mine specified information from molecular networks from multi-angle and multi-level. It has been used to investigate and obtain valuable information about the ingredients/drugs with specific pharmacological effects, the key nodes, modules and motifs with specific biological function, and physiological mechanism of drug action, pathogenesis of disease, or biomarker of disease, especially for the complex disease represented by Alzheimer’s disease (AD). In this paper, the general techniques of network analysis in network pharmacology study are reviewed.
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Objective: To establish an HPLC method for the fingerprint analysis on Chinese materia medica (CMM) elephant skin so as to provide the evidence for the quality control and application of elephant skin. Methods: To extract amino acids by the method of hydrolysis in 6 mol/L HCL and use phenyl isothiocyanate (PITC) as the derivating agent. The Hypersil ODS-2 C18 column (250 mm × 4.6 mm, 5 μm) was used. Under the condition of gradient elution, the flow rate was 1.0 mL/min, the UV detection wavelength was 254 nm, and the column temperature was 40℃. The similarity was analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of TCM 2004A". Results: The HPLC characteristic fingerprint of elephant skin has been established. A total of 18 common peaks were characterized, and 17 of them were identified by comparing their retention time with reference substances. The result showed that the amino acid constituents had a high similarity. Seventeen kinds of amino acids in elephant skin were detected. Conclusion: It is the first time to establish the HPLC fingerprint of elephant skin. The method is simple and quick, which provides the scientific basis for the comprehensive quality control of elephant skin.
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Objective: To establish a UPLC fingerprint method of Paeoniae Alba Radix, and provide comprehensive evaluation of their quality in different regions. Methods: The UPLC chromatographic column was Acquity UPLC® HSS T3 (100 mm × 2.1 mm, 1.8 μm). The mobile phase was acetonitrile-0.05% phosphoric acid water with gradient elution. The detection wavelength was 230 nm and column temperature was 30 ℃ with the flow rate of 0.4 mL/min. Similarity analysis, hierarchical clustering analysis, and principal component analysis were undertaken to study 23 sets of UPLC fingerprints of Paeoniae Alba Radix. Results: A specific UPLC fingerprint of Paeoniae Alba Radix was established and eight common peaks were designated. The results showed that the qualities of the 23 sets of Paeoniae Alba Radix were not stable and the samples collected from same region and different regions both had certain differences. Conclusion: UPLC fingerprint is an available and convenient method which can be used to access the quality of Paeoniae Alba Radix rapidly.
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This study was aimed to evaluate the quality ofYuan-Hu Zhi-Tong (YHZT) tablet from different manufacturers by high performance liquid chromatography (HPLC) fingerprint. An HPLC method was developed to establish the fingerprint of 12 batches of YHZT from 10 manufacturers. The common peaks were confirmed by mass spectrometric analysis. Similarity analysis (SA), hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to analyze the fingerprint chromatography. The results showed that there were 15 common peaks in which 12 components were from Corydalis Rhizoma and 3 from Radix Angelicae Dahuricae. The similar degrees of 12 batches of YHZT tablet were between 0.498 and 0.999. Based on the values, they could fall into three groups. The result of HCA showed that 12 batches of samples could be divided into 3 classes. The results of PCA indicated that the first three principal components (PCs) could represent the 15 common peaks. According to the scores of 3 PCs, 12 batches of samples could be divided into three categories. The classification result was mainly affected by the components of Corydalis Rhizoma. The classification results of three methods were basically the same. Based on the combination of three methods, 12 samples can be divided into three grades in the aspect of quality. It was concluded that the quality differences of YHZT tablet from different manufacturers were obvious. The combining application of three methods can be used in the evaluation on fingerprint of samples from different sources and influence factor analysis. It can be used as an effective method for quality evaluation.
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OBJECTIVE: To establish a method of HPLC characteristic fingerprint annlysis for the quality control of five fermentation mycelium preparations. METHODS: The HPLC analysis was carried out on a C18 column (4.6 mm×250 mm, 5 μm) by gradient elution with methanol-water as mobile phase at a folw rate of 1.0 mL·min-1, the column temperature was set at 25℃, and the detection wavelength was set at 260 nm. The HPLC characteristic fingerprint of 68 batches of five fermentation mycelium preparations was developed, and the components of adenosine, uridine, guanosine, uracil and adenine were identified. Similarity analysisi and hierarchical cluster analysis (HCA) were applied to study the HPLC characteristic fingerprint and chemical pattern recognition. RESULTS: The chemical pattern recognition analysis showed that 15 batches of Bailing capsules, 18 batches of Jinshuibao capsules and 10 batches of Xinganbao capsules were clustered together respectively, indicating that the preparation quality of single enterprise was consistent. The HPLC chromatograms of 15 batches of Zhiling capsules were dillerent and the difference in samples of different enterprises was obvious. CONCLUSION: This method is accurate and reliable, and it can be used to control the quality of fermentation mycelium preparations.
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Objective: To establish an HPLC method for the fingerprint analysis of Aquilariae Resinatum Lignum (ARL), so as to provide evidence for the identification and quality control of ARL. Methods: The analysis was carried out on a Dionex-Acclaim 120 C18 column (250 mm × 4.6 mm, 5 μm). The mobile phase consisted of acetonitrile and water-acetic acid (99.5:0.5) with the flow rate of 0.4 mL/min at 254 nm and the separation was performed at 26℃. The similarity was analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica 2004A" and the cluster analysis was performed by SPSS software. Results: The HPLC characteristic fingerprint of ARL has been established. A total of 24 common peaks were characterized, and nine of them were identified by comparing their retention time with reference subslances. The values of similarity evaluation mostly agreed with the result of cluster analysis. Conclusion: It is the first time to establish the HPLC fingerprint of ARL. The method is simple and quick, and reflects the information of chemical composition of ARL comprehensively, which provides the scientific basis for the identification and quality evaluation of ARL.
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OBJECTIVE: To compare the HPLC fingerprints Aconitum soongaricum Stapf. with Aconitum carmichaelii Debx., Aconitum kusnezoffii Reichb., and another common radix aconite plant in Xinjiang, Aconitum leucostomum Worosch., and analyze the degree similarity between different fingerprints. METHODS: The HPLC fingerprint Aconitum soongaricum Stapf was established, and similarity analysis, cluster analysis and principal component analysis were carried out for the common patterns, Aconitum soongaricum Stapf and Aconitum carmichaelii Debx., Aconitum kusnezoffii Reichb., and Aconitum leucostomum Worosch. via the ChemPattem chemical fingerprint analysis system software solutions. RESULTS: The analysis showed that the similarities the mutual model reference fingerprints were higher between Aconitum soongaricum Stapf and Aconitum kusnezoffii Reichb. and between Aconitum leucostomum Worosch. and Aconitum carmichaelii Debx. CONCLUSION: It is preliminarily determined that Aconitum soongaricum Stapf in Xinjiang had higher similarity with the legal standard Aconitum kusnezoffii Reichb., which deserves further research and development.