HPLC Fingerprint with Multi-components Analysis for Quality Consistency Evaluation of Traditional Chinese Medicine Si-Mo-Tang Oral Liquid Preparation

Si-Mo-Tang(SMT) oral liquid preparation, a traditional Chinese medicine, was prepared from four crude herbal drugs, Fructus Aurantii Submaturus, Radix Aucklandiae, Semen Arecae and Radix Linderae Aggregatae. A combinative method using HPLC fingerprint and quantitative analysis was developed and validated for quality consistency evaluation of SMT. Individual HPLC chromatograms were evaluated against the mean chromatogram generated via a similarity evaluation computer program. Data from chromatographic fingerprints were also processed with principal component analysis(PCA) and hierarchical cluster analysis(HCA). Additionally, six components (naringin, isonaringin, hesperidin, neohesperidin, norisoboldine and potassium sorbate) in SMT were simultaneously determined to interpret the quality consistency. For fingerprint analysis, 20 peaks were selected as the characteristic peaks to evaluate the similarities of 26 SMT collected from different manufacturers. Among the 20 characteristic peaks, 10 peaks were assigned to be naringin, hesperidin, neohesperidin, isonaringin, neoeriocitrin, tangeretin, nobiletin, norisoboldine, 5-(ethoxymethyl)furan-2-carbaldehyde and potassium sorbate, respectively. The results of similarity analysis, PCA and HCA, indicate that the samples from different manufacturers were consistent with each other in composition. The results from the quantitative data show that the contents of six compounds were significantly different in SMT oral liquid preparations from different manufacturers. The combinative method of chromatographic fingerprint with quantitative analysis developed here offered an efficient way for the quality consistency evaluation of the traditional Chinese medicine SMT.     

基于化学模式识别技术的枳实HPLC定量指纹图谱研究

建立了枳实的高效液相色谱(HPLC)指纹图谱分析方法.色谱柱为Tnature-ACCHROM C18色谱柱(4.6 mmx250 mm,5 μm);以乙腈-0.5％甲酸水溶液为流动相进行梯度洗脱,结合液相色谱-四极杆飞行时间质谱(HPLC-QTOF-MS)联用技术对枳实指纹图谱中的共有峰进行鉴定;采用相似度评价、聚类分...     

Internal standard mass spectrum fingerprint: A novel strategy for rapid assessing the quality of Shuang-Huang-Lian oral liquid using wooden-tip electrospray ionization mass spectrometry

In this study, an internal standard (IS) wooden-tip electrospray ionization mass spectrometry (ESI-MS) fingerprint method was developed for rapid quality assessment and control of Shuang-Huang-Lian (SHL) oral liquid, a famous herbal preparation registered by Chinese Pharmacopoeia. Sharp wooden tips with tip-end o.d. of 150–200 μm, which are similar to the diameter of commercially available ESI emitter, were used as solid substrates to extract samples and induce electrospray for mass spectrometric analysis. Various active ingredients present in SHL oral liquid, including organic acids, flavonoids, and phenylethanoid glycosides, etc., were simultaneously detected without any sample pretreatment and chromatographic separation. Perfluorooctanesulfonic acid was used as an IS compound to calculate the content fluctuations of active ingredients, and principal component analysis was applied to the obtained fingerprints to achieve systematically and comprehensively quality assessment of investigated samples. The quality stability and consistency were successfully assessed, the sources of different manufacturers were traced, and the qualified, short expired and long expired products were also distinguished unambiguously. Our experimental data demonstrated that IS ambient mass spectrum fingerprint is a simple and efficient approach for rapid quality assessment and control of herbal medicines.     

基于标准制剂控制模式和定量指纹图谱评价复方甘草片的质量一致性

通过建立复方甘草片标准制剂（SP）控制模式和定量高效液相色谱指纹图谱,结合5个质量标志物的精准定量评价了9个厂家共145批复方甘草片质量一致性。首先建立了复方甘草片标准制剂的标准指纹图谱（SP-RFP）,然后以SP-RFP作为评价标准,采用系统指纹定量法对145批复方甘草片进行整体定性和整体定量评价。用双标校正法校正定量指纹图谱的系统误差,结果表明所检样品质量均合格。此外,在统一化色谱条件下测定各原料药和模拟样品,对制剂指纹进行归属相关度和准确度评判,得到原料指纹与制剂指纹的相关性,从而实现智能预测制剂或原料药质量和阻止低劣原料入药。同时用紫外全指纹溶出度法测定5个厂家的复方甘草片的溶出度曲线,用以评价制剂工艺的合理性。以上方法可行且准确度高,实现了对复方甘草片质量和工艺的一致性评价。该文为中药质量一致性评价提供了基础评价模式和基本操作思路以及具体实例。     

Fingerprint analysis and multi‐ingredient quantitative analysis for quality evaluation of Xiaoyanlidan tablets by ultra high performance liquid chromatography with diode array detection

A rapid and sensitive ultra high performance liquid chromatography method with diode array detection was developed for the fingerprint analysis and simultaneous determination of seven active compounds in Xiaoyanlidan (XYLD) tablets. The chromatographic separations were obtained on an Agilent Eclipse plus C₁₈ column (50 × 2.1 mm id, 1.8 μm) using gradient elution with water/formic acid (1%) and acetonitrile at a flow rate of 0.4 mL/min. Within 63 min, 36 peaks could be selected as the common peaks for fingerprint analysis to evaluate the similarities among several samples of XYLD tablets collected from different manufacturers. In quantitative analysis, seven compounds showed good regression (R > 0.9990) within test ranges and the recovery of the method was within the range of 95.9–104.3%. The method was successfully applied to the simultaneous determination of seven compounds in six batches of XYLD tablets. These results demonstrate that the combination of chromatographic fingerprint analysis and simultaneous multi‐ingredient quantification using the ultra high performance liquid chromatography method with diode array detection offers a rapid, efficient, and reliable approach for quality evaluation of XYLD tablets.     

三波长融合指纹图谱结合6组分定量和主成分分析评价银翘解毒片的质量

建立了三波长融合高效液相色谱指纹图谱,并结合6组分定量和主成分分析(PCA)评价25批银翘解毒片的质量一致性。采用反相高效液相色谱法(RP-HPLC)分别于230、279、327 nm下检测。运用多波长融合指纹图谱技术建立银翘解毒片三波长融合指纹图谱,采用系统指纹定量法对其进行定性和整体定量评价。结果鉴别出25批银翘解毒片样品完全合格且区分良好。同时测定6组分含量,与指纹图谱结合,从整体和局部角度评价银翘解毒片质量。此外,运用PCA法对融合指纹图谱进行分析,通过主成分得分图可以明显区分来自两个厂家的25批银翘解毒片样品。方法综合性较强且有效,为科学评价与有效控制银翘解毒片的质量提供了可靠的参考。     

Fingerprint and multicomponent quantitative analysis for the quality evaluation of Sibiraea angustata leaves by HPLC-DAD and HPLC-ESI-MS/MS combined with chemometrics

Sibiraea angustata leaves, known as a traditional Tibetan medicine, have been specially used in the treatment of indigestion and obesity. In the study, a simple and sensitive high-performance liquid chromatography (HPLC) method with a diode array detector (DAD) was established to solve the problem of lacking quality standard of S. angustata leaves, including the fingerprint analysis and quantification of six characteristic components. The analytical method was validated for linearity, repeatability, stability, recovery, and specificity. Seventeen raw samples and 1 processed sample of S. angustata leaves were collected from different locations of China to establish the fingerprint. The chemometric methods, including similarity analysis (SA), principal component analysis (PCA), and hierarchical clustering analysis (HCA), were applied to distinguish the 18 batches of S. angustata samples. The results successfully sorted these samples into five clusters and kept in line with each other. According to the result of the fingerprint analysis, 21 peaks were extracted to be the common peaks and most of them were identified by mass spectrometry (MS) with electron-spray ionization (ESI) in the negative mode. Meanwhile, the loading plot of PCA further indicated that the peaks of neochlorogenic acid, chlorogenic acid, ferulic acid, rutin, hyperin, and isoquercitrin played a greater role in the discrimination among the 21 peaks. So the six components mentioned above were investigated as index constituents to evaluate the quality of S. angustata leaves from different locations. The study demonstrated that the developed new method was a beneficial approach for authentication and quality evaluation of S. angustata leaves.     

Multiple compounds determination and fingerprint analysis of Lidanpaishi tablet and keli by high-performance liquid chromatography

The objective of this paper was to establish an efficient method for quality control of Lidanpaishi (LDPS) tablet and keli, two famous traditional Chinese medicines. A simple and reliable high-performance liquid chromatography (HPLC) coupled with photodiode array detector (DAD) method was developed both for fingerprint analysis (FA) and quantitative determination. In quantitative analysis, linear regressions, limit of detection (LOD) and quantification (LOQ), intra-day and inter-day precisions, recovery, repeatability and stability were all tested and good results were obtained to simultaneously determine the 15 marker compounds, namely chlorogenic acid, rhaponticin, 6,7-dimethoxycoumarin, naringin, hesperidin, neohesperidin, baicalin, wogonoside, baicalein, wogonin, chrysin, honokiol, magnolol, emodin, and chrysophanol in the herbal drugs. In fingerprint analysis, 34 peaks were selected as the characteristic peaks to evaluate the similarities of different samples collected from different pharmaceutical companies in China according to the State Food and Drug Administration (SFDA) requirements, and two kinds of data, relative retention time (RRT) and relative peak area (RPA) were used to identify the common peaks in 15 samples for investigation. Furthermore, hierarchical cluster analysis (HCA) was also performed to evaluate the variation of the herbal drugs. The present approach, i.e. HPLC coupled with multiple compounds determination (MCD) and FA is a powerful and meaningful tool to comprehensively conduct the quality control of traditional Chinese medicines.     

Quality consistency evaluation of commercial transfer factor injections by chromatographic fingerprint combined with multivariate statistical analysis

The current quality control methods relying mainly on chromogenic reaction can hardly ensure the quality and safety of the biochemical drug with complex chemical composition. Therefore, a chromatographic fingerprint method was developed for the quality evaluation of a multicomponent biochemical drug, transfer factor injection. High‐performance liquid chromatography fingerprint was measured by using a C₁₈ column (250 × 4.6 mm, 5 µm) with a mobile phase composed of 0.1% trifluoroacetic acid–water and 0.085% trifluoroacetic acid–acetonitrile under gradient elution. The developed method was validated and was subsequently applied to 57 batches of commercial products which were sampled by National Drug Assessment Program. High‐resolution mass spectrometry analysis was performed on characteristic peaks of fingerprints, and a series of amino acids, nucleosides, and deoxynucleosides were identified. In the fingerprint assessments, principal component analysis and Hotelling T² analysis yielded the best results. The results generally indicated that there was a significant difference among products of batch‐to‐batch or from different manufacturers. Abnormal samples and its discriminatory components were also explored. In summary, the established fingerprinting method with multivariate statistical analysis could offer an efficient, reliable, and practical approach for quality consistency evaluation of transfer factor injection, providing a reference for the quality control of other multicomponent biochemical drugs.     

基于主成分分析的骨碎补药材乙醇和环己烷提取物的高效液相色谱指纹图谱及指标成分的定量分析

建立了骨碎补药材乙醇和环己烷提取物的高效液相色谱(HPLC)指纹图谱,并利用主成分分析法(PCA)对指纹图谱进行统计分析,以各主要色谱峰的保留时间和峰面积为变量得到score图和loading图。在score图和loading图中,骨碎补的正品和非正品可明显区分,且揭示出对此区分贡献最大的4个潜在指标成分,其中已知成分为柚皮苷、新北美圣草苷和E-4-O-β-D-葡萄糖酰咖啡酸。同时测定了这3种成分在19批正品和非正品骨碎补药材中的含量,其中10批骨碎补药材正品中3种成分的含量为: 柚皮苷6.36～10.1 mg/g,新北美圣草苷5.14～9.21 mg/g,E-4-O-β-D-葡萄糖酰咖啡酸1.87～3.19 mg/g。该方法更全面地反映了药材的化学成分信息,并能从定性和定量两方面控制骨碎补药材的内在质量。     

丹皮药材的高效液相色谱-质谱/质谱研究

采用高效液相色谱．质谱／质谱建立了丹皮药材的指纹图谱方法。丹皮药材中的主要成分得到较好分离,指纹峰重现性好,通过多维联用技术获得各指纹峰的保留时间、分子量及结构信息,推测出15个指纹峰的可能组成。结果表明：所建立的丹皮指纹图谱信息量丰富,对丹皮药材的化学表征及质量评价有重要的参考价值。     

Discrimination of Alismatis Rhizoma based on chromatographic fingerprint,multiple components quantification,and pattern recognition analysis

A simple, sensible, and reliable HPLC–DAD method was first developed for fingerprint analysis of Alismatis Rhizoma, and then applied to analyze 85 samples from three main cultivated areas. In all, 40 common fingerprint peaks were designated, and six of which were definitely identified. Then, the combinatory analysis using similarity evaluation, principal component analysis, and orthogonal partial least square discriminant analysis revealed clear chemical consistency between samples from Fujian and Jiangxi provinces and substantial differences between those from Fujian/Jiangxi and Sichuan provinces. Furthermore, six components were dug out as potential chemical markers for distinguishing Alismatis Rhizoma from different areas, among which five were qualified for quantitative analysis. In conclusion, the combination of chemical fingerprint, multiple components quantification, and pattern recognition analysis was rather powerful and useful in discriminating Alismatis Rhizoma from different regions, which was a benefit for quality control.     

Total detection of Tianma Toutong tablets for quality consistency by a five‐wavelength fusion fingerprint and chemometrics

A fingerprint method was developed and combined with chemometrics for quality evaluation of Tianma Toutong tablets, which are herbal medicine tablets used to treat migraine. Samples were analyzed by high‐performance liquid chromatography, where five single‐wavelength profiles (203, 232, 254, 280 and 310 nm) were fused to generate a five‐wavelength fusion fingerprint and were also used for the quantitative analysis of seven chemical markers (gastrodin, caffeic acid, hesperidin, isoimperatorin, chlorogenic acid, ferulic acid and imperatorin). A systematic quantitative fingerprint method and principal component analysis were used to analyze the generated data. Samples could be well distinguished from different manufacturers by analyzing the chromatographic data sets. In addition, the partial least squares model can serve as an antioxidant activity evaluation of Tianma Toutong tablets, as well as a reference for the selection of active constituents to analyze the spectrum–activity relationship. In summary, the integrated use of the fingerprint and chemometric analysis provides a reliable method for the identification of markers and the quality control of Tianma Toutong tablets.     

色谱指纹图谱在苹果酒质量评价中的应用

采用反相高效液相色谱-电化学检测法研究了14种苹果酒样品的指纹图谱。以标准品绿原酸进行定位,通过对图谱分析和相对保留时间计算,确定了8个共有峰。根据共有峰的峰面积用相关系数法和向量夹角余弦法计算相似度,两种方法的计算结果一致。实验结果表明同一厂家生产的苹果酒相似度较好。该法为苹果酒的产品分析提供了有效的微观信息,为苹果酒的质量控制、新产品的研发以及苹果酒行业标准的制定提供一种可行思路。     

基于定量指纹图谱技术的中药质量控制

定量指纹图谱技术是中药指纹图谱技术与多指标成分定量分析相结合的中药质量控制模式。定量指纹图谱技术的发展包括定量组分的制备、过程控制的指纹图谱技术和产品含量测定3个主要部分。本文以丹参为例,通过水提、醇沉、过膜、大孔树脂分离和工业色谱分离5个工艺流程制备了丹参定量组分,对各个工艺步骤以指纹图谱技术考察其稳定性和重复性。对丹参定量组分中的原儿茶醛、迷迭香酸、丹酚酸B 3个成分进行含量测定。3个成分的含量总和大于50%。定量组分的制备以现有的活性成分为目标,经过去粗存精的工艺过程,其质量标准得到了有效的提高。     

基于水溶性浸出物及HPLC指纹图谱评价不同贮存年限半夏的品质

研究不同贮存年限半夏药材的浸出物,建立浸出物的HPLC特征指纹图谱,为半夏药材品质评控提供参考。浸出物测定方法采用药典法;HPLC指纹图谱的色谱条件:采用C_(18)色谱柱(150 mm×4.6 mm,5μm),以水–甲醇为流动相,梯度洗脱,流量为0.8 m L/min,检测波长为260 nm,柱温为25℃,进样体积为50μL。采用相似度评价及聚类分析技术揭示14批样品的相似性及差异性。14批半夏浸出物有12批合格,2批不合格。建立14批半夏浸出物样品的高效液相指纹图谱,确定了3个共有峰,共有峰保留时间的相对标准偏差小于2%,峰面积的相对标准偏差差异较大。1~#~7~#半夏样品有12个共有峰,共有峰保留时间的相对标准偏差小于1.5%,峰面积的相对标准偏差差异较大。各批次药材化学成分组成及含量均存在一定差异。以半夏浸出物数据与其高效液相色谱指纹图谱数据为基础,将指纹图谱相似度评价与聚类分析结合起来,用浸出物含量及评价软件测评结果对半夏品质进行综合评估,可以更精确地对半夏药材进行质量控制。     

Control of impurities in l-aspartic acid and l-alanine by high-performance liquid chromatography coupled with a corona charged aerosol detector

In this study a reversed phase ion-pair high-performance liquid chromatography (HPLC) method using charged aerosol detection (CAD) was developed and fully validated for the pharmaceutical quality control of l-aspartic acid (Asp). With a slight modification, the method also allows the evaluation of related substances in l-alanine (Ala). The method enables simultaneous control of related amino acids and of possibly occurring organic acids contaminants. A minimum limit of quantification of 0.03% could be achieved for all occurring related substances. Moreover, the detector sensitivity of the CAD was compared with an evaporative light scattering detector (ELSD). Depending on the analyte the CAD was found to be 3.6–42 times more sensitive than the ELSD. The HPLC method was applied to the purity testing of 8 samples of pharmaceutical grade and reagent grade Asp and of 12 samples of Ala supplied by various manufacturers. Both substances were found to be of high purity (greater than 99.8% for Asp and greater than 99.9% for Ala). Malic acid and Ala were the major impurities in Asp. Asp and glutamic acid (Glu) were the only detectable impurities in Ala.     

Quality evaluation of Shenmaidihuang Pills based on the chromatographic fingerprints and simultaneous determination of seven bioactive constituents

In this study, we aimed to establish a comprehensive and practical quality evaluation system for Shenmaidihuang pills. A simple and reliable high‐performance liquid chromatography coupled with photodiode array detection method was developed both for fingerprint analysis and quantitative determination. In fingerprint analysis, relative retention time and relative peak area were used to identify the common peaks in 18 samples for investigation. Twenty one peaks were selected as the common peaks to evaluate the similarities of 18 Shenmaidihuang pills samples with different manufacture dates. Furthermore, similarity analysis was applied to evaluate the similarity of samples. Hierarchical cluster analysis and principal component analysis were also performed to evaluate the variation of Shenmaidihuang pills. In quantitative analysis, linear regressions, injection precisions, recovery, repeatability and sample stability were all tested and good results were obtained to simultaneously determine the seven identified compounds, namely, 5‐hydroxymethylfurfural, morroniside, loganin, paeonol, paeoniflorin, psoralen, isopsoralen in Shenmaidihuang pills. The contents of some analytes in different batches of samples indicated significant difference, especially for 5‐hydroxymethylfurfural. So, it was concluded that the chromatographic fingerprint method obtained by high‐performance liquid chromatography coupled with photodiode array detection associated with multiple compounds determination is a powerful and meaningful tool to comprehensively conduct the quality control of Shenmaidihuang pills.     

Application of high-performance liquid chromatography-electrospray ionization time-of-flight mass spectrometry for analysis and quality control of Radix Astragali and its preparations

A high-performance liquid chromatography coupled with electrospray ionization time-of-flight mass spectrometry (HPLC-ESI-TOF-MS) method has been developed for qualitative and quantitative analysis of isoflavonoids and saponins, as well as for the quality control of Radix Astragali and its preparations. The selectivity, reproducibility and sensitivity are compared with HPLC with diode array detection (DAD) and evaporative light scattering detection (ELSD). Limits of detection and quantification fell in ranges of 9-40 and 23-103 ng/mL for 13 analytes with a injection of 10 microL samples, and all calibration curves showed good linear regression (r(2)>0.9938) within the test range. The assay was successfully utilized to analyze the 13 marker components in 20 samples of Radix Astragali products. The quantitative results demonstrated that samples from different localities and manufacturers showed different quality. Advantages, in comparison with conventional HPLC-DAD-ELSD, are that reliable identification of target compounds could be achieved by accurate mass measurements (<3 ppm) along with characteristic retention time, extracted ions chromatograms using a narrow mass window for quantification ensure that the chromatographic peaks are free from background or co-elutes interference, and the great enhancement in selectivity and sensitivity allows identification and quantification of low levels of constituents in complex Radix Astragali matrixes.