邓老凉茶颗粒的超高效液相色谱质谱联用指纹图谱研究

建立了适用于邓老凉茶颗粒质量控制的超高效液相色谱质谱联用指纹图谱分析方法。样品采用甲醇索氏萃取60 min,萃取液采用超高效液相色谱质谱法进行指纹图谱分析。色谱柱采用Waters ACQUITY HSST3 C18(150 mm×3.0 mm,1.8μm),以0.5%甲酸-乙腈为流动相进行梯度洗脱,流速为0.8 mL/min,柱温35℃。质谱采用负离子ESI模式,选择基峰离子流质量色谱图进行指纹图谱研究。32个共有峰在15 min内得到良好分离,其中15个共有峰通过对照品进行了确证。通过《中药色谱指纹图谱相似度评价系统2004A版》对邓老凉茶颗粒样品进行相似度分析,15个批次样品的相似度均达到0.960以上,表明邓老凉茶颗粒的产品质量稳定性很好。以32个共有峰的相对峰面积进行主成分分析,邓老凉茶颗粒样品之间的细微质量差异得到明显区分。该方法快速、高效、可靠,可有效地用于邓老凉茶颗粒的质量控制。     

连花清瘟颗粒有效成分提取及高效液相色谱指纹图谱分析北大核心CSCD

建立连花清瘟颗粒的高效液相色谱(HPLC)指纹图谱,确认其化学成分并结合化学模式识别技术对其进行系统、科学的质量评价。使用化学对照品比对分析和超高效液相色谱-飞行时间质谱(UPLC-Q-TOF-MS)进行定性鉴定;Swell Chromplus TM-C18色谱柱(150 mm×4.6 mm,5μm);以0.1%磷酸-乙腈流动相,梯度洗脱;检测波长278 nm,进行高效液相色谱(HPLC)。采用中药色谱指纹图谱相似度评价系统及聚类分析、主成分分析分析软件进行化学模式识别方法分析。结果表明,通过指纹图谱相似度计算发现,10批样品的HPLC指纹图谱中发现16个共有峰,相似度达到0.967。确认了9个化学成分,包括新绿原酸、绿原酸、隐绿原酸、异绿原酸A、苦杏仁苷、连翘苷、连翘酯苷A、大黄素、大黄酚、大黄酸。该方法简单、稳定、重复性好,可用于该药物的质量评价。     

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。     

高效液相色谱法分析玉屏风散成分

建立玉屏风散高效液相色谱指纹图谱分析方法,探讨市售饮片对玉屏风散质量一致性的影响。用传统水煎法制备玉屏风散水煎液,采用高效液相色谱法对不同来源的单味药饮片制备的玉屏风散样品进行测定,用色谱指纹图谱相似度评价软件对指纹图谱进行分析,以对照药材制得的标准方剂为参照,评价不同批次饮片对玉屏风散成分的影响。试验结果表明,10批玉屏风散指纹图谱之间的相似度差异较大,与标准方剂的指纹图谱相比较,有6批相似度低于0.5,3批在0.5～0.8之间,1批高于0.9。10批样品指纹图谱中有22个共有峰,利用标准品对照法鉴定了其中6个成分。试验表明药材饮片的来源对玉屏风散的成分影响较大。     

五加生化胶囊的高效液相色谱指纹图谱研究

应用高效液相色谱(HPLC)法建立五加生化胶囊的指纹图谱。采用ANGLAVenusil XBP-C18色谱柱(250×4.6mm,5μm),以甲醇-0.1%磷酸溶液为流动相,梯度洗脱,检测波长为327nm,五加生化胶囊多数峰达到基线分离。采用2004A中药色谱指纹图谱相似度评价系统对11批样品的指纹图谱进行峰匹配,确定12个共有峰,11批五加生化胶囊指纹图谱的相似度均在0.90以上。结果表明:五加生化胶囊的HPLC指纹图谱特征性和专属性强,可较系统地用于五加生化胶囊的质量控制。     

液相色谱特征图谱用于草乌成分定量

测定不同产地草乌的液相色谱指纹图谱,构建草乌的特征图谱,对不同草乌样品进行相似性对比分析,考察不同产地草乌的生物碱总量含量差异.采用色谱柱为WelchromC18柱(250 mm×4.6 mm,5μL),流动相为甲醇–0.1％三乙胺(体积比为75:25),流量为1 mL/min,检测波长为235 nm,柱温为30℃,进样体积为20μL.对10个批次样品进行相似度分析和含量测定,确定草乌的特征图谱共有模式,标定10个特征峰,指认了新乌头碱、乌头碱、次乌头碱的特征峰.10批不同产地草乌的相似度均大于0.90,相似度较好.产地1的草乌总生物碱含量为3.4046 mg/g,在10个产地中含量最高.其它产地草乌总生物碱含量相近.     

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 mm×250 mm,5μm);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、聚类分析(CA)、主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)对22批枳实进行数据分析及质量评价。结果显示:指纹图谱共标定12个共有峰,HPLC-QTOF-MS分析指认出11个成分;22批枳实样品的相似度在0.9以上;CA、PCA和OPLS-DA的分析结果一致,其中江西产地聚为一类,湖南和福建产地聚为一类,并筛选出橙皮苷、新橙皮苷和柚皮苷3个差异性质量标志物。所建立的枳实HPLC指纹图谱方法稳定、可靠,可为其质量控制提供参考依据。     

高效液相色谱法研究红芪指纹图谱

研究了10个红芪样品的指纹图谱,采用高效液相色谱法,乙腈-水梯度洗脱,流速1．0mL／min,柱温25℃,色谱图光谱采集范围：190～400nm,以武都米仓山红芪药材作为对照品,用指标成分毛蕊异黄酮和芒柄花素进行了定位,并测定了它们的含量,找出了23个共有峰,其中10号峰和14号峰分别为毛蕊异黄酮和芒柄花素。10个样品平均相似度为97．3％以上,结果表明：红芪样品指纹图谱及指标成分含量测定可用于全面控制红芪药材的质量。     

基于高效液相色谱指纹图谱和化学模式识别法评价不同采收期水冬瓜树皮药材质量

建立不同采收期水冬瓜树皮药材的高效液相色谱(HPLC)指纹图谱,并结合化学模式识别法,对不同采收期水冬瓜树皮药材质量进行了评价。将新鲜的水冬瓜树皮烘干过筛后,用甲醇提取其中的有效成分,采用HPLC建立不同采收期的11个批次水冬瓜树皮的指纹图谱,通过《中药色谱指纹图谱相似度评价系统》[国家药典委员会(GPC)2004A版]、IBM SPSS Statistics 25统计学软件和SIMCA-P+12.0软件等化学计量学软件对指纹图谱进行相似度分析、系统聚类分析、主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)。结果显示:11个批次水冬瓜树皮的HPLC指纹图谱中有18个共有峰,这些共有峰与紫丁香苷的相对峰面积的相对标准偏差(RSD)为30%～124%,说明不同采收期的样品所含化学成分的含量差异较大。11个批次样品的指纹图谱与以S6色谱数据为参考生成的对照指纹图谱的相似度为0.932～0.982,表明不同采收期水冬瓜树皮药材总体质量较为稳定。系统聚类分析将11个批样品分为2组,这一结果得到了PCA和OPLS-DA的验证。OPLS-DA结果还显示:18个共有峰的变量投影重要性(VIP)值均大于0.8,说明不同批次水冬瓜树皮药材之间的质量存在微小差异,从中选择7个VIP值大于1.0的共有峰对应的物质作为质量差异性标志物,用来反映不同采收期水冬瓜树皮中主要化学成分变化。     

复方板蓝根颗粒抗病毒成分HPLC-UV指纹图谱及LC-ESI-MSn研究

建立了复方板蓝根颗粒提取物高效液相色谱(HPLC-uv)指纹图谱分析方法.确定了10批不同来源复方板蓝根颗粒提取物的19个共有峰.各提取物的HPLC-UV指纹图谱与对照指纹图谱比较,相似度均在93%以上.利用液相色谱与质谱联用(LC-ESI-MSn技术对主要共有峰的结构进行了鉴定.药效学研究表明,复方板蓝根颗粒提取物有...     

Quality assessment of Panax notoginseng flowers based on fingerprinting using high-performance liquid chromatography–PDA

An HPLC–PDA fingerprint method has been developed for quality control of Panax notoginseng flowers. HPLC separation was performed at 35 °C on a Hypersil ODS column (4.6 mm × 250 mm, 5 μm); the mobile phase was an acetonitrile–water gradient at a flow rate of 1.0 mL/min. Satisfactory separation of 19 common peaks was achieved within 60 min. Similarity evaluation was performed by use of the professional software “Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine”, and the similarity among 12 batches of samples was no less than 0.93. Results of similarity evaluation confirmed that the quality of P. notoginseng flowers was stable, and that fingerprint analysis enabled precise and efficient quality control of P. notoginseng flowers.     

超声辅助液液萃取-气相色谱-质谱指纹图谱应用于烟用香精香料的检测

采用超声辅助液液萃取-气相色谱-质谱法,建立了烟用香精香料的指纹图谱。以二氯甲烷-乙醇(9+1)混合溶液为萃取溶剂,饱和氯化钠溶液为水相,超声萃取10min,对1187号烟用香精香料样品进样检测。共检出了25个组分,对其中的23个组分进行了定性。11个批次的样品色谱图显示了较高的相似性,并运用主成分分析法(PCA)区分了添加其它香精香料的掺兑样品。方法可以用于考察烟用香精香料的质量。     

Development of a method using high‐performance liquid chromatographic fingerprint and multi‐ingredients quantitative analysis for the quality control of Yangxinshi Pian

A simple and reliable method of high‐performance liquid chromatography with diode array detection method was developed for fingerprint analysis and simultaneous determination of six compounds including puerarin, salvianolic acid B, berberine hydrochloride, palmatine chloride, dehydrocorydaline, and icariin in the Chinese medicine preparation Yangxinshi Pian. The separation was performed on an Agilent Eclipse XDB‐C₁₈ reserved‐phase column (250 mm × 4.6mm I.D., 5 μm) using gradient elution with 50 mmol/L monopotassium phosphate aqueous solution and methanol as mobile phase at a flow rate of 1.0 mL/min. The column operating temperature was set at 30°C, and the detection wavelength was 280 nm. The method was validated by linearity, precision, accuracy, stability, and recovery. For fingerprint analysis, 25 peaks were selected as the common peaks, and four kinds of similarities including cosine similarity (S), ratio of similarity (S′), projection content similarity (C), and content similarity (P) were applied to evaluate the quality consistency of different batches of Yangxinshi Pian. The results showed that the developed method was an efficient tool for quality evaluation of Yangxinshi Pian.     

六味地黄丸的精细指纹图谱分析及模式识别分类研究

采用高效液相色谱建立了六味地黄丸的指纹图谱,对两个厂家的16批产品进行了测定,并结合中药相似度软件和主成分分析法对全指纹图谱和其精细指纹图谱进行了模式识别研究。结果表明,中药相似度软件能够对不同厂家的产品进行区分但也可能造成误判;在主成分分析法的投影图中,两个厂家的产品明显聚为两类,而且不同批次产品的差异也能够显示出来。     

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.     

Geographical classification of Epimedium based on HPLC fingerprint analysis combined with multi‐ingredients quantitative analysis

A reliable and comprehensive method for identifying the origin and assessing the quality of Epimedium has been developed. The method is based on analysis of HPLC fingerprints, combined with similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) and multi‐ingredient quantitative analysis. Nineteen batches of Epimedium , collected from different areas in the western regions of China, were used to establish the fingerprints and 18 peaks were selected for the analysis. Similarity analysis, HCA and PCA all classified the 19 areas into three groups. Simultaneous quantification of the five major bioactive ingredients in the Epimedium samples was also carried out to confirm the consistency of the quality tests. These methods were successfully used to identify the geographical origin of the Epimedium samples and to evaluate their quality.     

仿刺参中皂苷类成分的高效液相色谱指纹图谱

利用高效液相色谱法建立了仿刺参皂苷类成分的指纹图谱,为仿刺参的质量控制提供了新的方法。采用固相萃取制备供试品溶液,选用Zorbox SB-C18色谱柱(250 mm×4.6 mm, 5 μm),以乙腈-0.1%磷酸水溶液为流动相进行梯度洗脱,检测波长为205 nm,柱温30 ℃。分析了不同产地的10批仿刺参样品,采用国家药典委员会推荐的“中药色谱指纹图谱相似度评价系统(2004 A版)”处理谱图,确定了6个共有峰。计算了10个样本间的指纹图谱相似度,所得相似度计算结果均大于0.97。该方法具有良好的稳定性和重现性,可用于仿刺参的质量控制。     

Identification and quantitative analysis of the chemical constituents of Gandouling tablets using ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectrometry

Gandouling tablets are used in a clinical agent for the treatment of hepatocellular degeneration; however, their chemical constituents have not been elucidated. Here, we screened and identified the chemical constituents of Gandouling tablets using ultra-high-performance liquid chromatography (UHPLC)-quadrupole time of flight/mass spectrometry. A method for the quality evaluation of Gandouling tablets was developed by combining the UHPLC fingerprints and the simultaneous quantitative analysis of multiple active ingredients. For fingerprint analysis, 20 shared peaks were identified to assess the similarities among the 10 batches of Gandouling tablets and the similarity was >0.9. The levels of nine representative active ingredients were simultaneously determined to ensure consistency in quality. A total of 99 chemical components were identified, including 18 alkaloids, 20 anthraquinones, 13 flavonoids, 11 phenolic acids, 9 polyphenols, 7 phenanthrenes, 5 sesquiterpenes, 3 curcuminoids, 2 lignans, 2 isoflavones, 2 dianthranones, and 7 other components. The retention times, molecular formulae, and secondary fragmentation information of these compounds were analyzed, and the cleavage pathways and characteristic fragments of some of the representative compounds were elucidated. This systematic analysis used to identify the chemical components of Gandouling tablets lays the foundation for its further quality control and research on their pharmacodynamic substances.