基于图论的色谱指纹图谱谱峰的全局匹配

以色谱工作站的积分数据为基础,定义了允许匹配峰组的域,提出了在域内根据色谱峰面积、保留时间计算各匹配峰组之间距离矩阵的公式,从而形成有向图。采用图论中的最短路径算法寻找可能的匹配峰组中的最佳匹配峰组。采用优化的匹配参数,对珍菊降压片、丹参提取物、柴胡皂苷提取物、人参皂苷提取物的HPLC谱图进行匹配并将有关结果与国家药典委员会推出的指纹图谱软件自动匹配结果作了比较。结果表明:本算法可最大程度地匹配可能的色谱峰并极少出现错配、漏配峰组,无需手动校正。     

运用色谱指纹图谱与化学计量学方法对灵芝进行分类

采用95%乙醇为提取溶剂,运用高效液相色谱(HPLC)指纹图谱技术与化学计量学方法,对11个不同灵芝菌株子实体进行分类。通过相似度分析分别获得提取样品指纹图谱的13个共有峰及每个样品之间的相似度;以相对共有峰面积为分析参数,运用化学计量学方法包括聚类分析(HCA)、主成分分析(PCA)及判别分析(DA)对其进行分类,结果分为紫芝、赤芝和美国大灵芝3类。实验结果表明,用化学计量学的方法对灵芝样品的指纹图谱数据进行分析,是一种可用于其分类的科学方法。     

应用超临界流体萃取分离-气相色谱-质谱分析法建立中药温郁金的指纹图谱及其系统聚类分析

收集生长于浙江省瑞安市8个产地的温郁金样品14批次,分别经清洗、冷冻干燥及碾磨粉碎,得到通过0.425mm筛孔药筛的粉末状样品14个。称取此样品各30g,分别按试验选定的最佳条件[萃取温度35℃,萃取压力15MPa,萃取时间(静态30min,动态90min)]进行超临界流体萃取分离,所得萃取物收集于甲醇5mL中,并进行气相色谱-质谱法(GC-MS)分析。色谱分离采用HP-5ms石英毛细管色谱柱和在50~220℃之间程序升温模式;质谱测定采用电子轰击离子源(EI),在质荷比(m/z)50~650内进行扫描。所得总离子流色谱图中共有50多个色谱峰,选择保留时间在40min以内的共有峰26个作为考察对象,选择保留时间为17.12min的莪术二酮为参考峰,计算共有峰的相对保留时间α和峰面积百分比S以及各样品与S3的S值的最大差值ΔS(Max)%,并建立了14个样品的指纹图谱。根据GC-MS分析所得结果并与NIST 14谱库比对,对共有峰作出鉴定。通过SPSS 16.0软件,采用系统聚类分析法对所分析的14批次温郁金样品的指纹图谱进行分类比较。应用指纹图谱对2个市售温郁金产品作了组分鉴定和产地认定。     

穿心莲药材高效液相色谱指纹图谱研究及其应用

应用反相高效液相色谱(RP-HPLC)法建立穿心莲药材指纹图谱。首先以穿心莲对照药材为对象建立其乙醇提取物特征色谱图,再用5种不同来源穿心莲药材的乙醇提取物验证色谱图的指纹特性。在穿心莲药材乙醇提取物特征色谱图中有共有峰10个,各共有峰的相对保留时间与相对峰面积的相对标准偏差(RSD)均小于4%。对照药材中共有峰峰面积占总峰面积的98.5%以上。该指纹图谱用于清火栀麦胶囊中穿心莲的鉴别专属性良好。     

中草药板蓝根粉末的X射线衍射傅立叶指纹图谱分析

对来自不同地区的板蓝根粉末样品用X射线衍射傅立叶(Fourier)指纹图谱技术进行鉴定.由于不同产地的板蓝根样品的指纹图谱不同,因此,采用这一技术可对板蓝根样品作出区别和鉴定.试验结果表明该方法尚可应用于其他中药的鉴别.     

正交投影用于多波长色谱重叠峰分析

 将正交投影分辨 (OPR)技术用于多波长色谱重叠峰分辨 ,当色谱峰中最大重叠度小于或等于波长数时 ,用这一方法能从多波长色谱重叠峰中获得完全真解。基于双波长色谱分析 ,提出了一种新的色谱重叠峰中背景校正、组分数和纯组分信号区确定以及各组分重叠情况的分析方法 ,即双波长特征信息分析 (DWCI)。该法被成功的用于三组分双峰和双组分单峰重叠色谱的分析。     

Spectrum–effect relationship study between HPLC fingerprints and antioxidant of honeysuckle extract

Honeysuckle (Lonicera japonica flos) is a well‐known agent of edible and medicinal value in China and its antioxidative activity makes a major contribution to its dual use. However, the compounds responsible for its antioxidative activity are still unknown. In this study, 10 batches of honeysuckle were collected from different origins in China. The fingerprints were established by HPLC technique to investigate the compounds and a 1,1‐diphenyl‐2‐picrylhydrazyl (DPPH) radical scavenging activity assay was carried out to evaluate their antioxidant activity. partial least squares regression analysis was applied to set up the regression equation between DPPH radical scavenging activity and average peak area of common peaks of fingerprints. The results showed that peaks 10 (isochlorogenic acid B), 12 (isochlorogenic acid C), 11 (isochlorogenic acid A) and 9 (cynaroside) in the fingerprints were closely related to the antioxidant activity of 50% methanol extracts of honeysuckle. This study successfully established the spectrum–effect relationship between HPLC fingerprints and DPPH radical scavenging activity and provided a general model for exploring active components with a combination of chromatography and efficacy.     

Fingerprint chromatogram analysis of Pseudostellaria heterophylla (Miq.) Pax root by high performance liquid chromatography

A simple and reliable high performance liquid chromatographic (HPLC) method has been developed and validated for the fingerprinting of extracts from the root of Pseudostellaria heterophylla (Miq.) Pax. HPLC with gradient elution was performed on an authentic reference standard of powdered P. heterophylla (Miq.) Pax root and 11 plant samples of the root were collected from different geographic locations. The HPLC chromatograms have been standardized through the selection and identification of reference peaks and the normalization of retention times and peak intensities of all the common peaks. The standardized HPLC fingerprints show high stability and reproducibility, and thus can be used effectively for the screening analysis or quality assessment of the root or its derived products. Similarity index calculations based on cosine angle values or correlation methods have been performed on the HPLC fingerprints. As a group, the fingerprints of the P. heterophylla (Miq.) Pax samples studied are highly correlated with closely similar fingerprints. Within the group, the samples can be further divided into subgroups based on hierarchical clustering analysis (HCA). Sample grouping based on HCA coincides nicely with those based on the geographical origins of the samples. The HPLC fingerprinting techniques thus have high potential in authentication or source-tracing types of applications.     

Total ion chromatographic fingerprints combined with chemometrics and mass defect filter to predict antitumor components of Picrasma quassioids

A method of total ion chromatogram combined with chemometrics and mass defect filter was established for the prediction of active ingredients in Picrasma quassioides samples. The total ion chromatogram data of 28 batches were pretreated with wavelet transformation and correlation optimized warping to correct baseline drifts and retention time shifts. Then partial least squares regression was applied to construct a regression model to bridge the total ion chromatogram fingerprints and the antitumor activity of P. quassioides. Finally, the regression coefficients were used to predict the active peaks in total ion chromatogram fingerprints. In this strategy, mass defect filter was employed to classify and characterize the active peaks from a chemical point of view. A total of 17 constituents were predicted as the potential active compounds, 16 of which were identified as alkaloids by this developed approach. The results showed that the established method was not only simple and easy to operate, but also suitable to predict ultraviolet undetectable compounds and provide chemical information for the prediction of active compounds in herbs.     

Searching for the main anti-bacterial components in artificial Calculus bovis using UPLC and microcalorimetry coupled with multi-linear regression analysis

The fingerprints of artificial Calculus bovis extracts from different solvents were established by ultra-performance liquid chromatography (UPLC) and the anti-bacterial activities of artificial C. bovis extracts on Staphylococcus aureus (S. aureus) growth were studied by microcalorimetry. The UPLC fingerprints were evaluated using hierarchical clustering analysis. Some quantitative parameters obtained from the thermogenic curves of S. aureus growth affected by artificial C. bovis extracts were analyzed using principal component analysis. The spectrum-effect relationships between UPLC fingerprints and anti-bacterial activities were investigated using multi-linear regression analysis. The results showed that peak 1 (taurocholate sodium), peak 3 (unknown compound), peak 4 (cholic acid), and peak 6 (chenodeoxycholic acid) are more significant than the other peaks with the standard parameter estimate 0.453, -0.166, 0.749, 0.025, respectively. So, compounds cholic acid, taurocholate sodium, and chenodeoxycholic acid might be the major anti-bacterial components in artificial C. bovis. Altogether, this work provides a general model of the combination of UPLC chromatography and anti-bacterial effect to study the spectrum-effect relationships of artificial C. bovis extracts, which can be used to discover the main anti-bacterial components in artificial C. bovis or other Chinese herbal medicines with anti-bacterial effects.     

Quality Assessment of Veratrum nigrum L. by LC-ELSD Fingerprints and LC Quantitative Analysis

A simple, rapid and valid fingerprint method has been first carried out for the quality control of Veratrum nigrum L. (Chinese name: Lilu), by using liquid chromatography (LC) with evaporative light scattering detection (ELSD). A standard fingerprint was constructed from ten batches of Lilu from different geographic locations to evaluate batch-to-batch consistency. Twelve chromatographic peaks were selected as characteristic peaks and their relative peak areas were calculated for quantitative expression of the LC fingerprints. Furthermore, the amounts of three main components (veratrosine, jervine, and veratramine) were determined simultaneously to evaluate and control quality of Lilu.     

基于挥发性组分的气相色谱指纹图谱评价沉香化气片质量

建立了沉香化气片的气相色谱指纹图谱,并结合化学模式识别评价20批沉香化气片的质量。乙醇超声提取20批沉香化气片的挥发性成分,以正十八烷为内标,分析了3个主要组分的含量,且以内标计算其他各组分的相对峰面积,建立了沉香化气片的气相色谱指纹图谱,确定了11个共有峰,得到了各批次样品的相似度,并通过气相色谱-质谱法和对照品比对对10个共有峰进行了指认。将获得的峰面积指纹图谱采用系统聚类分析和主成分分析进行化学模式识别研究,实现了不同批次沉香化气片的区分,发现了造成不同批次样品差异的主要标记物。该方法有效且综合性强,为科学评价与有效控制沉香化气片的质量提供了可靠的参考。     

Thin-layer chromatographic fingerprinting of the nonvolatile fraction extracted from the medicinal herb Cistus incanus L.

ABSTRACT

The aim of this study was to provide the first from-start-to-end thin-layer chromatographic method of fingerprinting the Cistus incanus L. raw herbal material, with a purpose to further use it for rapid screening, authentication, and quality control of the traded C. incanus L. herbs. To this effect, 12 different C. incanus L. samples purchased as herbal teas from a local market were extracted by means of the accelerated solvent extraction (ASE) with chemometrically optimized solvent extraction mixture and temperature (methanol–water, 27:73, v/v; 130°C), to derive the polar fraction from the plant samples. Then, the extracts were developed in two thin-layer chromatographic systems, both using the commercially precoated silica gel 60 chromatographic plates, yet two different mobile phases (mobile phase 1, ethyl acetate–formic acid–acetic acid–water, 100:11:11:13, v/v/v/v, and mobile phase 2, ethyl acetate–dichloromethane–formic acid–acetic acid–water, 100:10:10:10:11, v/v/v/v/v). The chromatograms were densitometrically scanned in the reflectance mode at the wavelength λ?=?366?nm to obtain fingerprints of the extracts derived from individual C. incanus L. samples. Mobile phase 2 performed slightly better, because with its use, the maximum number of 11 peaks could be seen in the respective fingerprints, whereas with mobile phase 1, the maximum number of 10 peaks only. Then an antioxidant potential of the investigated herbal extracts was assessed, making use of mobile phase 2 and the 0.20% methanol solution of 2,2-diphenyl picrylhydrazyl as a visualizing reagent. The resulting chromatograms were densitometrically scanned in the extinction mode at the wavelength λ?=?550?nm to obtain biological fingerprints of the extracts. Finally, chromatographic and biological fingerprints underwent a semiquantitative evaluation in terms of the contents of the extracted polar fraction and an overall antioxidant potential of the individual plant species.     

Evaluation and discrimination of cortex Magnoliae officinalis produced in Zhejiang Province (Wen-Hou-Po) by UPLC-DAD-TOF-MS fingerprint

An ultra performance liquid chromatography tandem TOF mass spectrometric (UPLC-DAD-TOF-MS) fingerprinting method was developed for the quality control and source discrimination of Cortex magnoliae officinalis produced in Zhejiang Province (Wen-Hou-Po). Twelve samples of Wen-Hou-Po collected from two species in five areas in Zhejiang Province of China were used to establish the fingerprint. Data were evaluated statistically using similarity analysis, hierarchical cluster analysis (HCA) and discriminant analysis (DA) in order to establish a similarity standard of fingerprint for quality control of Wen-Hou-Po, then to classify the Wen-Hou-Po samples and to identify key categorizing parameters. The similarity indexes were all above 0.95 between the reference chromatogram and that of each sample. By comparing the UV and MS data with those of the authentic standards and literature, nine main peaks in the fingerprints were identified. The result of hierarchical cluster analysis showed that the samples from two species in five areas could be divided into two distinct groups (the same as the groups of the samples divided by their species) based on their compositional fingerprints. A rapid and convenient discriminant function was then established to discriminate the species of unknown Wen-Hou-Po, and the cross validation result was 100%. In this study, the methods established are reliable, and could be used to evaluate the quality and to identify the species of Wen-Hou-Po in the future.     

Chromatographic Fingerprint Analysis of Varietal Differences among Three Species of Baishouwu and Simultaneous Analysis of Three Bioactive Constituents by Use of LC–DAD

For the first time, a validated high-performance liquid chromatographic method with diode-array detection has been developed for discrimination and quality assessment of three species of Baishouwu. LC with gradient elution was performed on extracts from 23 plant samples collected from different geographic locations. The fingerprint was established and 26 chromatographic peaks were selected as characteristic peaks. Similarities of chromatograms were greater than 0.9 for the same species but much lower than 0.6 for different species. Three bioactive constituents were simultaneously analyzed for further quantitative assessment of the quality of Baishouwu, and amounts of the three analytes in different species of Baishouwu samples were found to be significantly different. This LC–DAD method is thus a very reliable and useful method for assessment of the quality of Baishouwu.     

Simultaneous analysis of small organic acids and humic acids using high performance size exclusion chromatography

An accurate and fast method for simultaneous determination of small organic acids and much larger humic acids was developed using high performance size exclusion chromatography. Two small organic acids, i.e. salicylic acid and 2,3‐dihydroxybenzoic acid, and one purified humic acid material were used in this study. Under the experimental conditions, the UV peaks of salicylic acid and 2,3‐dihydroxybenzoic acid were well separated from the peaks of humic acid in the chromatogram. Concentrations of the two small organic acids could be accurately determined from their peak areas. The concentration of humic acid in the mixture could then be derived from mass balance calculations. The measured results agreed well with the nominal concentrations. The detection limits are 0.05 mg/L and 0.01 mg/L for salicylic acid and 2,3‐dihydroxybenzoic acid, respectively. Applicability of the method to natural samples was tested using groundwater, glacier, and river water samples (both original and spiked with salicylic acid and 2,3‐dihydroxybenzoic acid) with a total organic carbon concentration ranging from 2.1 to 179.5 mg C/L. The results obtained are promising, especially for groundwater samples and river water samples with a total organic carbon concentration below 9 mg C/L.     

An experimental study of sampling time effects on the resolving power of on-line two-dimensional high performance liquid chromatography

The experimental effects of sampling time on the resolving power of on-line LC×LC were investigated. The first dimension gradient time ((1)t(g)) and sampling time (t(s)) were systematically varied ((1)t(g)=5, 12, 24 and 49 min; t(s)=6, 12, 21 and 40s). The resolving power of on-line LC×LC was evaluated in terms of two metrics namely the numbers of observed peaks and the effective 2D peak capacities obtained in separations of extracts of maize seeds. The maximum effective peak capacity and number of observed peaks of LC×LC were achieved at sampling times between 12 and 21s, at all first dimension gradient times. In addition, both metrics showed that the "crossover" time at which fully optimized 1DLC and LC×LC have equal resolving power varied somewhat with sampling time but is only about 5 min for sampling times of 12 and 21s. The longest crossover time was obtained when the sampling time was 6s. Furthermore, increasing the first dimension gradient time gave large improvements in the resolving power of LC×LC relative to 1DLC. Finally, comparisons of the corrected and effective 2D peak capacities as well as the number of peaks observed showed that the impact of the coverage factor is quite significant.     

基于三波长融合谱的系统指纹定量法鉴定龙胆泻肝丸的真实质量

建立了龙胆泻肝丸(Longdanxiegan pill,LDXGP)三波长融合高效液相色谱(HPLC)指纹图谱,以系统指纹定量法全面鉴定LDXGP的质量。采用反相高效液相色谱法(RP-HPLC),运用多波长融合指纹图谱技术对色谱图进行处理,以黄芩苷为参照物峰,确立了63个共有指纹峰,以宏定性相似度为参量对12个厂家的12批LDXGP进行聚类分析,确定用其中10批生成对照指纹图谱(RFP),以此RFP为标准用系统指纹定量法评价12批LDXGP的质量。结果鉴别出9批质量完全合格,1批含量明显偏高,2批化学成分数量和分布比例不合格。基于多波长融合技术的系统指纹定量法是评价中药真实质量的可靠方法。     

高效液相色谱法考察60Co-γ射线照射天麻其化学成分的稳定性

用高效液相色谱法研究60Co-γ照射天麻后其主要指纹峰的变化,评价经60Co-γ照射后天麻化学成分的稳定性,以便正确选择60Co-γ照射灭菌剂量.采用高效液相色谱分析了8批照射不同剂量60Co-γ射线的天麻样品,采用国家食品药品监督管理局推荐的“中药色谱指纹图谱相似度评价系统(2004A版)”计算处理,匹配了 14个共...     

Quality assessment of cortex cinnamomi by HPLC chemical fingerprint, principle component analysis and cluster analysis

HPLC fingerprint analysis, principle component analysis (PCA), and cluster analysis were introduced for quality assessment of Cortex cinnamomi (CC). The fingerprint of CC was developed and validated by analyzing 30 samples of CC from different species and geographic locations. Seventeen chromatographic peaks were selected as characteristic peaks and their relative peak areas (RPA) were calculated for quantitative expression of the HPLC fingerprints. The correlation coefficients of similarity in chromatograms were higher than 0.95 for the same species while much lower than 0.6 for different species. Besides, two principal components (PCs) have been extracted by PCA. PC1 separated Cinnamomum cassia from other species, capturing 56.75% of variance while PC2 contributed for their further separation, capturing 19.08% variance. The scores of the samples showed that the samples could be clustered reasonably into different groups corresponding to different species and different regions. The scores and loading plots together revealed different chemical properties of each group clearly. The cluster analysis confirmed the results of PCA analysis. Therefore, HPLC fingerprint in combination with chemometric techniques provide a very flexible and reliable method for quality assessment of traditional Chinese medicines.