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@#Abstract: It is well-known that crystal form of a drug is a key factor impacting the physicochemical properties of the drug, which in turn affects its in vivo efficacy, safety and stability. The study on crystal forms of solid-state drugs is crucial for drug quality control, selection of production process and evaluation of clinical efficacy. The combination of chemometric and analytical techniques exhibited its great ability to analyze a large amount of multidimensional data, providing the possibility for quantification of trace amount of crystals (< 1%). Meanwhile, using the process analytical technology (PAT) to monitor the crystal content real-time during prescription preparation process can further realize the control on formulation quality and serve as a core technology to support the patent protection of crystalline forms. In this review, the combined application of crystal analytical techniques and chemometric methods for the quantitative analysis of trace crystals were summarized, aiming to provide guidance for the manufacturing of pharmaceutical preparations and their quality control.
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Objective Based on HPLC fingerprinting and chemometrics,to evaluate the quality of Schefflera kwangsiensis Merr.from Guangxi.Methods HPLC was used to establish fingerprints of Schefflera kwangsiensis Merr.from ten different origins,and gradient elution was carried out with methanol-0.1％phosphoric acid aqueous solution as mobile phase.Cluster analysis(CA),principal component analysis(PCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA)were applied to evaluate quality.Results The fingerprints of Schefflera kwangsiensis Merr.from ten different origins were established by HPLC,a total of 22 common peaks were calibrated,with a similarity range of 0.922-0.999.Four chromatographic peaks were identified as rhodopsin,4,5-bis-O-caffeoylquinic acid,caffeic acid,and naringin.The samples were classified into four types according to the CA and OPLS-DA.PCA identified four principal components with a cumulative contribution rare of 95.39％.Conclusion The quality of Schefflera kwangsiensis Merr.can be comprehensively evaluated by fingerprinting combined with CA,PCA and OPLS-DA analysis.The Study can provide a reference for improving the quality control and assessment of Schefflera kwangsiensis Merr.
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OBJECTIVE To compare the changes of chemical components of Morus alba leaves， screen differential markers， and determine their contents， so as to provide reference for quality control of M. alba leaves before and after baked with honey. METHODS The fingerprints of M. alba leaves before and after baked with honey were established by high-performance liquid chromatography （HPLC）. The common peaks of the fingerprints were identified and the similarity was evaluated. The differential markers of M. alba leaves before and after baked with honey were screened by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） using common peak are of raw material and product baked with honey of M. alba leaves as index. The quantitative analysis was carried out. RESULTS Twenty-three and twenty-four common peaks were identified from the HPLC fingerprint spectra of ten batches of raw material and ten batches of product baked with honey of M. alba leaves， respectively. The similarities of HPLC fingerprints for raw material and product baked with honey of M. alba leaves were all greater than 0.97. The results of PCA showed that raw material and product baked with honey of M. alba leaves could be divided into two categories. The results of OPLS-DA showed that the variable importance in projection of peak 2， peak H （5- hydroxymethylfurfural）， peak 1， peak 17 （isochlorogenic acid C） and peak 16 were all greater than 1. The average contents of differential marker of isochlorogenic acid C in raw material and product baked with honey of M. alba leaves were 0.093 6 and 0.127 8 mg/g， respectively； there was statistical significance （P＜0.05）. CONCLUSIONS Five differential markers such as isochlorogenic acid C are obtained. The content of isochlorogenic acid C in M. alba leaves is significantly increased after baked with honey.
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OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.
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OBJECTIVE To analyze the compositional differences between Fructus Tritici Levis and Triticum aestivum， and to provide reference for identification and quality control of both. METHODS Twenty batches of Fructus Tritici Levis and three batches of T. aestivum were collected， and their fingerprints were acquired by high-performance liquid chromatography and the similarities were evaluated by the Evaluation System of Similarity of Chromatographic Fingerprints of Traditional Chinese Medicine （2012 version）. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed to analyze the difference of Fructus Tritici Levis and T. aestivum from different regions， and the differential components were screened. The contents of the six identified components in Fructus Tritici Levis and T. aestivum were determined. RESULTS The similarities of the fingerprints of Fructus Tritici Levis ranged from 0.928 to 0.996， and the relative similarities of T. aestivum with Fructus Tritici Levis ranged from 0.761 to 0.773. A total of 19 common peaks were calibrated， and six components including linolenic acid， linoleic acid， 5-heptadecylresorcinol， 5-nonadodecylresorcinol， 5- heneicosylresorcinol， and 5-tricosylresorcinol were identified. The results of CA and PCA showed that Fructus Tritici Levis and T. aestivum could be clearly distinguished； the distribution of Fructus Tritici Levis from Anhui province was relatively concentrated. The results of OPLS-DA showed that linolenic acid， linoleic acid， and other six unknown compounds were the differential components between Fructus Tritici Levis and T. aestivum. The average contents of the six identified components in Fructus Tritici Levis were 0.100 9， 1.094 0， 0.005 1， 0.030 9， 0.098 2，and 0.024 8 mg/g， respectively； the contents of linolenic acid and linoleic acid in Fructus Tritici Levis were significantly higher than those in T. aestivum （P＜0.05）.CONCLUSIONS The established qualitative and quantitative methods are simple and reliable， and can be used for the identification and quality evaluation of Fructus Tritici Levis and T. aestivum. The identified differential components， such as linolenic acid and linoleic acid， can also provide clues for the differentiation and pharmacological study of Fructus Tritici Levis and T. aestivum.
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Traditional Chinese medicines (TCMs) possess a rich historical background, unique theoretical framework, remarkable therapeutic efficacy, and abundant resources. However, the modernization and internationalization of TCMs have faced significant obstacles due to their diverse ingredients and unknown mechanisms. To gain deeper insights into the phytochemicals and ensure the quality control of TCMs, there is an urgent need to enhance analytical techniques. Currently, two-dimensional (2D) chromatography, which incorporates two independent separation mechanisms, demonstrates superior separation capabilities compared to the traditional one-dimensional (1D) separation system when analyzing TCMs samples. Over the past decade, new techniques have been continuously developed to gain actionable insights from complex samples. This review presents the recent advancements in the application of multidimensional chromatography for the quality evaluation of TCMs, encompassing 2D-gas chromatography (GC), 2D-liquid chromatography (LC), as well as emerging three-dimensional (3D)-GC, 3D-LC, and their associated data-processing approaches. These studies highlight the promising potential of multidimensional chromatographic separation for future phytochemical analysis. Nevertheless, the increased separation capability has resulted in higher-order data sets and greater demands for data-processing tools. Considering that multidimensional chromatography is still a relatively nascent research field, further hardware enhancements and the implementation of chemometric methods are necessary to foster its robust development.
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Objective To analyze and identify the volatile constituents in different parts(flowers,stems and leaves)of Huai chrysanthemumin,and to lay a theoretical foundation for the comprehensive utilization for it.Methods The volatile oil in different parts of Huai chrysanthemumin were extracted by hydrodistillation,respectively.Their constituents were analyzed by gas chromatography-mass spectrometry(GC-MS).The compounds were identified by library search and literature screening.The relative percentage of each compound was obtained by the area normalization method.The differences in their chemical compositions were analyzed by Venn diagram,principal component analysis(PCA)and cluster heat map analysis.Results A total of 62 volatile chemical components were identified from different parts of Huai chrysanthemumin,including monoterpenes,sesquiterpenes,and their derivatives,as well as a small amount of aliphatic compounds.32,42 and 40 volatile components were detected from the flowers,stems and flowers,respectively.Furthermore 17 volatile components were shared by three parts,whereas 5,6 and 16 volatile components were unique to the flowers,stems and leaves,respectively.The results of stoichiometric analysis showed that both PCA and cluster heat map analysis could separate the flowers,stems and leaves,and their volatile components were different.Conclusion The types and contents of the volatile oil in the stems,leaves and flowers of Huai chrysanthemumin have certain variability,which provide a scientific basis for the further medicinal or industrial exploitation of different parts of Huai chrysanthemumin.
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Objective To establish the UPLC fingerprint chromatogram combined with chemometric analysis for the quality evaluation of classical formula Linggui Zhugan Decoction.Methods SHIMADZU Shim-Pack GIST C18 column(100 mm×2.1 mm,2.0 μm)was used with acetonitrile-0.1%phosphoric acid aqueous solution as mobile phase,gradient elution;flow rate was 0.2 mL/min;the detection wavelength was 266 nm for the first 30 minutes and 235 nm for the last 36 minutes;the column temperature was 30℃.The UPLC fingerprint of Linggui Zhugan Decoction was established by Similarity Evaluation System for Chromatographic Fingerprint of TCM(2012.130723 version),and the common peak was determined and the similarity evaluation was carried out.Based on the peak area determination results of the common peak of the fingerprint,the quality of different batches of Linggui Zhugan Decoction was evaluated by chemometrics such as clustering analysis and principal component analysis.Results A total of 24 common peaks were confirmed and 14 components were identified by using reference substances.The similarity of 10 batches of Linggui Zhugan Decoction samples was greater than 0.950,which could be divided into two categories by chemometrics,and the principal component 1-4 were the main factors affecting its quality evaluation.OPLS-DA identified 6 differential markers.Conclusion The fingerprint research method established in the study is simple,reliable and reproducible.Through the method of fingerprint combined with chemometrics analysis,the differences between Linggui Zhugan Decoction from different origins of medicinal materials are identified,which provides a reference for the internal quality evaluation of Linggui Zhugan Decoction.
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The grey correlation-TOPSIS method was used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos, and the Fourier transform near-infrared(NIR) and mid-infrared(MIR) spectroscopy was applied to establish the identification model of origin herbs of Lonicerae Japonicae Flos by combining chemometrics and spectral fusion strategies. The content of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, secoxyloganin, isoquercitrin, isochlorogenic acid B, isochlorogenic acid A, and isochlorogenic acid C in six origin herbs of Lonicerae Japonicae Flos was determined by high-performance liquid chromatography(HPLC), and their quality was evaluated by the grey correlation-TOPSIS method. The Fourier transform NIR and MIR spectra of six origin herbs of Lonicerae Japonicae Flos(Lonicera japonica, L. macranthoides, L. hypoglauca, L. fulvotomentosa, L. confuse, and L. similis) were collected. At the same time, principal component analysis(PCA), support vector machine(SVM), and spectral data fusion technology were combined to determine the optimal identification method for the origin herbs of Lonicerae Japonicae Flos. There were differences in the quality of the origin herbs of Lonicerae Japonicae Flos. Specifically, there were significant differences between L. japonica and the other five origin herbs(P<0.01). The quality of L. similis was significantly different from that of L. fulvotomentosa, L. macranthoides, and L. hypoglauca(P=0.008, 0.027, 0.01), and there were also significant differences in the quality of L. hypoglauca and L. confuse(P=0.001). The PCA and SVM 2D models based on a single spectrum could not be used for the effective identification of the origin herbs of Lonicerae Japonicae Flos. The data fusion combined with the SVM model further improved the identification accuracy, and the identification accuracy of the mid-level data fusion reached 100%. Therefore, the grey correlation-TOPSIS method can be used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos. Based on the infrared spectral data fusion strategy and SVM chemometric model, it can accurately identify the origin herbs of Lonicerae Japonicae Flos, which can provide a new method for the origin identification of medicinal materials of Lonicerae Japonicae Flos.
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Drugs, Chinese Herbal/chemistry , Flowers/chemistry , Quality Control , Lonicera/chemistry , Chromatography, High Pressure Liquid/methodsABSTRACT
OBJECTIVE To evaluate the quality of Indigo Naturalis， and to provide reference for the quality control of Indigo Naturalis. METHODS UPLC-MS/MS method was used to determine the contents of 6 indole alkaloids （indigo， indirubin， isatin， tryptanthrin， indole and indole-3-carboxaldehyde） in Indigo Naturalis from different origins. Cluster analysis， principal component analysis and partial least squares-discriminant analysis （PLS-DA） were used to evaluate the quality of Indigo Naturalis from different origins. RESULTS The contents of indigo， indirubin， isatin， tryptanthrin， indole and indole-3-carboxaldehyde in Indigo Naturalis from different origins were 20 320.83-26 585.01， 1 327.69-3 102.25， 141.69-894.50， 2.17-5.27， 2.14-5.93 and 1.69-4.34 μg/g， respectively. The Indigo Naturalis from different areas were clustered into two categories by cluster analysis. Samples S1， S2， S4， S6， S7， S9 and S10 were clustered into category Ⅰ， and samples S3， S5， S8， S11 and S12 were clustered into category Ⅱ. Indigo Naturalis from different origins was evaluated with 3 principal components. The results showed that category Ⅰ sample scored higher and had better quality， while category Ⅱ sample scored lower and had worse quality. PLS-DA showed that indigo， indirubin， tryptanthrin and isatin were the main substances that reflected the quality difference of Indigo Naturalis. CONCLUSIONS The quality of Indigo Naturalis from different origins is different， and the quality of Indigo Naturalis of different batches from the same area is not stable. The quality evaluation method of Indigo Naturalis established in this paper is stable and reliable， which can provide a basis for the quality control of Indigo Naturalis.
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Objective:To comprehensively evaluate the quality of Herba Clematidis Intricatae through HPLC multi-index components, chemometrics combined with EW-TOPSIS. Methods:A total of 18 batches of Herba Clematidis Intricatae samples from seven provinces were collected. Contents of luteolin-7-O-glucoside, rutoside, hyperoside, quercitrin, quercetin, luteolin, apigenin and kaempferol in Herba Clematidis Intricatae were simultaneously determined by HPLC. Chemometrics method was used to comprehensively analyze the content determination results, and the main potential markers affecting the quality of Herba Clematidis Intricatae were analyzed. The quality of Herba Clematidis Intricatae from different origins was evaluated. Results:The eight components showed good linear relationships within their respective ranges ( r≥0.999 1), and accuracy was good ( RSD<2.0%). The chemometrics method showed that 18 batches of Herba Clematidis Intricatae could be clustered into 3 categories, showing certain regional differences. Rutoside, hyperoside and luteolin-7-O-glucoside were the indicative components affecting the difference of chemical constituents in Herba Clematidis Intricatae; results of EW-TOPSIS method showed that the optimum quality of Herba Clematidis Intricatae from Inner Mongolia and Liaoning, followed by those of Hebei, Shanxi and Shanxi, and lowest in Qinghai and Gansu. Conclusion:The established HPLC method is convenient and accurate, and combined with chemometrics and EW-TOPSIS method can be used for the comprehensive evaluation of the quality of Herba Clematidis Intricatae.
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Objective:To establish the HPLC fingerprint of MaRSDenia tenacissima; To evaluate the different origins of MaRSDenia tenacissima by combining chemometric methods.Methods:High performance liquid chromatography (HPLC) method was adopted, with DiKMA C18 column (250 mm× 4.6 mm, 5 μm), acetonitrile-0.05% phosphoric acid aqueous solution as mobile phase gradient elution, flow rate of 1.0 ml/min. The detection wavelength was set at 230 nm, the column temperature was 30 ℃, and sample size was 10 μl. Chromatographic information was imported into the similarity evaluation system for TCM chromatographic fingerprints (2012 version) for similarity analysis. SPSS Statistics 26 was used for system clustering analysis, and SIMCA 14.1 software was used for principal component analysis and partial least squares discriminant analysis (PLS-DA).Results:Totally 12 common peaks were identified. Two chromatographic peaks were identified as tenacissoside G and tenacissoside I. The relative similarity of fingerprints of 15 batches of samples and references ranged from 0.942 to 0.995. When the square Euclidean distance was 20, the samples could be grouped into two categories: S1-S3, S13-S15 were grouped into one category, and S4-S12 were grouped into another category. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) showed that there were significant differences among 15 batches of MaRSDenia tenacissima, and there was a certain correlation with the origin.Conclusion:The results can provide a reference for analyzing the differences of MaRSDenia tenacissima from different producing areas and the quality standards of related formula granules in the later stage.
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Objective The HPLC fingerprints of different varieties of Tibetan medicine"Bangjian"were investigated to compare and analyse the differences in the chemical composition of different varieties and to further classify them,so as to provide reference for their quality control and safe clinical use.Methods HPLC method was used to establish the fingerprints of the different species of"Bangjian",and UPLC-Q-TOF-MS method was used to analyse the similarities and differences of the chemical components of the mainstream species and to identify the characteristic peaks.Chemometrics methods were used for the analysis including cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).Results A total of 11 chromatographic peaks were identified from 93 batches of"Bangjian"samples.The HCA and PCA methods were used to classify the 93 batches into 2 categories,and then OPLS-DA was used to classify them into 3 categories in more detail,while 4 main components were selected according to the principle of VIP>1.The results of UPLC-Q-TOF-MS and chemometric showed that the Tibetan medicine"Bangjian"could be divided into iridoids with benzoyl fragments represented by Gentiana szechenyii Kanitz and monocyclic iridoids represented by Gentiana veitchiorum Hemsl.according to their chemotypes.The latter could be divided into alpine gentian group subtype and multi-branch group ornate subtype according to the content of components.The results of the chemotypic classification proved that the traditional classification of the"Bangjian"has a material basis in science but were also flawed.Conclusion The present study demonstrates that the established HPLC fingerprint can be used to classify the"Bangjian"of the complex base elements effectively,which is expected to provide an effective reference for the improvement of quality standards of"Bangjian"and clinical safety medication.
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ObjectiveHigh performance liquid chromatography （HPLC） was used to establish the specific chromatograms of Aurantii Fructus from different origins， and the quality variability of Aurantii Fructus from Sichuan was analyzed and evaluated by combining entropy weighting method and grey correlation method. MethodHPLC was performed on an Agilent Eclipse Plus C18 column （4.6 mm×250 mm， 5 μm） with a gradient elution of methanol （A）-0.1% phosphoric acid aqueous solution as the mobile phase （0-12 min， 25%-33%A； 12-21 min， 33%-41%A； 21-30 min， 41%-42%A； 30-40 min， 42%-59%A； 40-53 min， 59%-72%A； 53-60 min， 72%A； 60-65 min， 72%-100%A； 65-70 min， 100%A； 70~71 min， 100%-25%A； 71-80 min， 25% A） at a flow rate of 1.0 mL·min-1， the injection volume was 10 μL and the detection wavelength was 330 nm. Fifty batches of Aurantii Fructus samples from different origins （Sichuan， Chongqing， Jiangxi and Hunan） were tested， and the similarity evaluation software is used to generate characteristic profiles and compare them with control profile for peak identification， and then to evaluate the similarity of the samples. IBM SPSS 19.0 and SIMCA 14.1 were used to perform multivariate statistical analysis on the results of the samples， and then the entropy weighting method and grey correlation were used to calculate the overall quality score of samples from Sichuan. ResultHPLC specific chromatogram of Aurantii Fructus was established， and 14 common peaks were identified as eriocitrin， neoeriocitrin， narirutin， naringin， hesperidin， neohesperidin， meranzin hydrate， poncirin， meranzin， marmin， nobiletin， 3，3′，4′，5，6，7，8-heptamethoxyflavone， tangeretin and auraptene. And the similarities between the samples from Sichuan and the control chromatogram were all above 0.980. The samples could be classified into four categories according to their main origins by chemical pattern recognition， and the results of cluster analysis， principal component analysis and orthogonal partial least squares-discriminant analysis were all able to discriminate the samples of different main origins effectively. The comprehensive evaluation results of entropy weighting method combined with grey correlation showed that the quality of Aurantii Fructus from Sichuan varied greatly among different origins， and the quality of Aurantii Fructus from Sichuan was ranked as Bazhong>Luzhou>Chongqing>Neijiang. ConclusionIn this study， the characteristic mapping of Aurantii Fructus from Sichuan is established， and combined with the analytical methods of chemometrics and grey correlation， the quality of samples from different origins can be effectively differentiated， which can provide a reference for the comprehensive evaluation and control of the quality of Aurantii Fructus from Sichuan.
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This study aims to compare the chemical constituents in 24 batches of Artemisiae Argyi Folium samples collected from three different Dao-di producing areas(Anguo in Hebei, Nanyang in Henan, and Qichun in Hubei). An ultra-performance liquid chromatography(UPLC) method was established to determine the content of 13 nonvolatile components, and headspace-gas chromatography-mass spectrometry(HS-GC-MS) was employed for qualitative analysis and comparison of the volatile components. The content of phenolic acids in Artemisiae Argyi Folium was higher than that of flavonoids, and the content of nonvolatile components showed no significant differences among the samples from the three Dao-di producing areas. A total of 40 volatile components were identified, and the relative content of volatile components in Artemisiae Argyi Folium was significantly different among the samples from different Dao-di producing areas. The principal component analysis and partial least squares discriminant analysis identified 8 volatile components as the potential markers for discrimination of Artemisiae Argyi Folium samples from different Dao-di producing areas. This study revealed the differences in the chemical composition of Artemisiae Argyi Folium samples from three different Dao-di producing areas, providing analytical methods and a scientific basis for the discrimination and quality evaluation of Artemisia Argyi Folium in different Dao-di producing areas.
Subject(s)
Gas Chromatography-Mass Spectrometry , Chromatography, High Pressure Liquid/methods , Drugs, Chinese Herbal/chemistry , Flavonoids/analysis , Plant Leaves/chemistry , Artemisia/chemistryABSTRACT
OBJECTIVES@#To detect the contents of Tangwei capsule main components with high performance liquid chromatography-quantitative analysis of multicomponents by single marker (HPLC-QAMS) method and to evaluate the quality with chemometrics and entropy weight-technique for order preference by similarity to an ideal solution (EW-TOPSIS).@*METHODS@#A symmetry C18 column and 0.1% formic acid-acetonitrile as mobile phase were used for HPLC of Tangwei capsule. The contents of 3'-hydroxypuerarin, puerarin, 3'-methoxypuerarin, methylnissolin-3-O-glucoside, calycosin, formononetin, rosmarinic acid, salvianolic acid B, dihydrotanshinone Ⅰ, cryptotanshinone, tanshinone Ⅰ, tanshinone ⅡA and cucurbitacin B in 15 batches of Tangwei capsule were determined simultaneously. The quality differences of 15 batches of samples were analyzed by chemometrics and EW-TOPSIS.@*RESULTS@#The HPLC-UV showed that 13 components had good linear relationships in corresponding concentration ranges (r≥0.9991). The relative standard deviations (RSD) of precision, repeatability and stability were all less than 2.00%. The average recovery rates were between 96.86% and 100.13%, and RSD were all less than 2.00%. Cluster analysis showed that 15 batches of samples were clustered into 3 groups. Partial least squares-discriminant analysis showed that salvianolic acid B, formononetin, puerarin, 3'-methoxypuerarin and rosmarinic acid were the main potential markers affecting the quality of Tangwei capsule. EW-TOPSIS analysis showed that the quality of S12-S15 was superior.@*CONCLUSIONS@#The analytical method established in this study can be used for the comprehensive evaluation of the quality of Tangwei capsule to provide laboratory support for its quality control and overall evaluation.
Subject(s)
Drugs, Chinese Herbal , Chromatography, High Pressure Liquid/methods , Chemometrics , EntropyABSTRACT
Objective To establish a method for comprehensive quality evaluation of Tongjing ointment by multi-component quantification combined with chemometrics and grey correlation analysis(GRA).Methods With curcumin as the internal reference substance,HPLC-QAMS method was used to simultaneously determine the contents of limonin,evodiamine,rutaecarpine,bisdemethoxycurcumin,demethoxycurcumin,curcumin,6-gingerol,8-gingerol,10-gingerol,tetrahydropalmatine,dehydrocorydalin,dorydaline in Tongjing ointment.The quality of Tongjing ointment was evaluated by cluster analysis,principal component analysis,orthogonal partial least square discriminant analysis and GRA.Results The determination of 12 components manifested a good linear relationship in the range of mass concentration(r≥0.999 1).The average recovery was between 96.58％and 100.19％(RSD＜2.0％,n=9).There were no significant difference between the measured value of external standard method and the calculated value of HPLC-QAMS(P＞0.05).Tongjing ointment samples were classified into three eategories by chemometrics and it showed that curcumin,6-gingerol,bisdemethoxycurcumin,demethoxycurcumin,limonin and tetrahydropalmatine were the main potential markers affecting the quality of Tongjing ointment.GRA showed that the relative correlation degree was in the range of 0.317 3-0.624 8,and there were some differences in the quality of Tongjing ointment.Conclusion The established method can comprehensively evaluate the quality of Tongjing ointment.
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The quality of traditional Chinese medicine has a direct impact on the effectiveness and safety of its use, and is the premise necessary to ensure the healthy development of the traditional Chinese medicine industry. Comprehensive and accurate control and evaluation of the quality of medicinal materials is of great significance to the traditional Chinese medicine industry, but the complexity and dynamics of the chemical composition of medicinal materials makes their quality evaluation a challenge. Plant metabolomics provides an integrated and comprehensive analysis that is consistent with the holistic approach of traditional Chinese medicine. Chemical information therein promotes the establishment of a traceable system and provides new ideas and methods for the quality evaluation of medicinal materials. Plant metabolomics in the quality evaluation of medicinal materials is gradually increasing, and the core is the screening and identification of differential metabolites or specific marker compounds by means of stoichiometry. This study focused on the main factors that affect the quality of medicinal materials, such as origin, environmental adversity, varieties, harvest time, commercial specification and TCM processing. We describe the research progress in plant metabolomics combined with chemometrics analysis for the quality control and evaluation of medicinal materials, summarize existing problems, identify trends, and propose future research directions. Metabolomics plays an increasingly important role in the quality evaluation of medicinal materials, but the absolute qualitative and quantitative information of metabolomics needs to be further developed, and a single 'omics' technique is not sufficient for an in-depth analysis of medicinal value. In the future, standardization of plant metabolomics methods and a more complete database should be actively promoted, and plant metabolomics should be integrated into quality marker exploration. Plant metabolomics will need to be integrated with other 'omics' methods to improve the quality and evaluation system of medicinal materials.
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In order to better control the quality of Flos Puerariae(FP),qualitative and quantitative analyses were initially performed by using chemical fingerprint and chemometrics methods in this study.First,the fingerprint of FP was developed by HPLC and the chemical markers were screened out by similarity analysis(SA),hierarchical clustering analysis(HCA),principal components analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA).Next,the chemical constituents in FP were profiled and identified by HPLC coupled to Fourier transform ion cyclotron resonance mass spectrometry(HPLC-FT-ICR MS).Then,the characteristic constituents in FP were quantitatively analyzed by HPLC.As a result,31 common peaks were assigned in the fingerprint and 6 of them were considered as qualitative markers.A total of 35 chemical constituents were detected by HPLC-FT-ICR MS and 16 of them were unambiguously identified by comparing retention time,UV absorption wavelength,accurate mass,and MS/MS data with those of reference standards.Subsequently,the contents of glycitin,genistin,tectoridin,glycitein,genistein,and tectorigenin in 13 batches of FP were detected,ranging from 0.4438 to 11.06 mg/g,0.955 to 1.726 mg/g,9.81 to 57.22 mg/g,3.349 to 41.60 mg/g,0.3576 to 0.989 mg/g,and 2.126 to 9.99 mg/g,respectively.In conclusion,fingerprint analysis in combination with chemometrics methods could discover chemical markers for improving the quality control standard of FP.It is expected that the strategy applied in this study will be valuable for further quality control of other traditional Chinese medicines.
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Chinese medicinal injection, made of active components extracted from Chinese medicine or Chinese medicinal compound, is a novel dosage form of Chinese patent medicine in China and is pivotal in the traditional Chinese medicine(TCM) industry. The quality control standard of Chinese medicinal injection determines its safety and efficacy. The quantitative nuclear magnetic resonance(qNMR) spectroscopy is a non-targeted, non-invasive, and non-destructive technique with high reproducibility, short measurement time, convenient sample preparation, a broad range of linearity, and no requirement on the reference substance of tested components, which is advantageous as compared with traditional chromatographic methods, and it can provide information about the molecular composition of the tested samples. Therefore, in light of multiple challenges in the quality control of Chinese medicinal injection, such as complex composition, difficulties in quantitative analysis, and the shortage of reference substances, the application of qNMR spectroscopy combined with chemometrics techniques was proposed for the quality evaluation of Chinese medicine reference substances, Chinese medicinal injection, and intermediates in the production process, as well as for the stability analysis of Chinese medicinal injection. This study is expected to provide references for the application of qNMR spectroscopy in the quality control of Chinese medicinal injection.