返魂草的高效液相色谱法指纹图谱研究及成分分析

采用高效液相色谱法,建立了返魂草的指纹图谱,并与相同条件下获得的同属植物千里光图谱进行了比较;通过液相色谱-质谱联用法及与对照品比照研究,对其5种共有成分进行了鉴定;并对以上成分的含量进行同步测定。结果表明,此指纹图谱能够用于区分返魂草及其混淆品千里光;5种成分在各自的浓度范围内线性关系良好(r=0.9995～0.9998),10批样品中原儿茶酸、绿原酸、咖啡酸、金丝桃苷、异槲皮苷含量分别为0.03～0.07 mg/g,0.10～1.04 mg/g,0.01～0.05 mg/g,0.07～0.35 mg/g和0.02～0.74 mg/g。本方法可用于返魂草的鉴别及药材的质量评价。     

棠梨枝叶的化学成分研究

从棠梨枝叶(Pyrus pashia Buch.-Ham.ex D.Don)的甲醇提取物中分离得到了17个化合物,采用高分辨质谱、一维和二维核磁共振等现代波谱技术,鉴定上述化合物的结构分别为:pashinin A(1),天麻苷-7-O-顺式咖啡酸酯(2),天麻苷-7-O-反式咖啡酸酯(3),山奈酚-3-O-β-D-(6′′-O-对香豆酸酯)吡喃葡萄糖苷(4),山奈酚-3-O-β-D-(6′′-O-顺式对香豆酰)吡喃葡萄糖苷(5),天麻苷-7-O-对羟基苯甲酸酯(6),熊果苷(7),robustaside B(8),委陵菜酸(9),蔷薇酸(10),槲皮素3-O-β-D-吡喃葡萄糖苷(11),2R,3R-二氢槲皮素(12),木犀草素-4′-O-β-D-吡喃葡萄糖苷(13),芹黄素-4′-O-β-D-吡喃葡萄糖苷(14),5,7,4′-三羟基异黄酮-7-O-β-D-吡喃葡萄糖苷(15),染料木素(16),咖啡酸(17),其中化合物1和2为新化合物,化合物3为新的天然产物.除化合物17外,其余化合物均首次从该植物中分离得到.化合物1～3的抗肿瘤细胞活性实验表明其没有体外肿瘤细胞生长抑制活性(IC50>40μmol L-1);抗HIV病毒(HIV-1IIIB)实验显示:化合物1有极弱的抗HIV-1的活性,化合物4有弱的抗HIV-1的活性.     

高效液相色谱-电喷雾离子阱质谱法鉴定金匮肾气丸总苷化学成分及代谢产物

应用高效液相色谱-电喷雾离子阱质谱法(HPLC-ESI/MSn)鉴定金匮肾气丸总苷的化学成分及总苷大鼠灌胃给药血浆化学成分或代谢产物。对比体内外样品色谱图各色谱峰,根据负离子模式下的分子离子峰获得化合物分子量信息,金匮肾气丸总苷含19个化学成分:没食子酰-3-O-芹糖基(1→6)葡糖苷、羟基芍药苷、莫诺苷、马钱苷、獐芽菜苷、地黄苷A或B、1,2,3-三-O-没食子酰葡萄糖、芍药苷、山茱萸新苷Ⅱ、6'-(3,4,5-三羟基苯甲酰)芍药苷、1,2,3,6-四-O-没食子酰葡萄糖、山茱萸新苷Ⅰ、五没食子酰葡萄糖、苯甲酰羟基芍药苷、丹皮酚原苷、苯甲酰芍药苷、4'-羟基,6'-(3,4,5-三羟基苯甲酰)芍药苷和两个未知化合物成分。金匮肾气丸总苷大鼠灌胃血浆鉴定出17个化学成分,其中有8个化合物以原型存在,9个可知代谢转化成分,分别为没食子酸,2-羟基苯乙酮-4-O-葡萄糖醛酸酯,芍药苷代谢素Ⅰ,2-羟基-4-甲氧基苯乙酮-5-O-硫酸酯,2,4-二羟基苯乙酮-5-O-硫酸酯,2,4-二羟基苯乙酮和3个未知成分。     

基于指纹图谱、量值传递及化学计量学的薏苡竹叶散质量评价

建立高效液相指纹图谱进行外部质量控制,结合化学计量学探究内部质量影响因素,通过量值传递规律确定制备工艺稳定性,全面完善薏苡竹叶散（YZP）质量评价系统。利用《中药色谱指纹图谱相似度评价系统》（2012.130723版本）绘制15批YZP指纹图谱并评价相似度;选择Origin 2019b 64Bit进行聚类分析（CA）,利用SIMCA 14.1进行主成分分析（PCA）和正交偏最小二乘判别分析（OPLS-DA）,获得导致质量差异的主要成分;测定15批淡竹叶药材和YZP中荭草苷和异荭草苷的含量,探究样品制备过程中的量值传递规律。结果表明,15批YZP指纹图谱得到21个共有峰,指认了6种成分,分别为9号峰（异荭草苷）、10号峰（荭草苷）、13号峰（牡荆素）、14号峰（异牡荆素）、15号峰（连翘酯苷A）和20号峰（连翘苷）,相似度在0.956～0.995之间,符合相关规定;CA结果显示,15批YZP被分为两类,PCA共得到3个主成分,累计贡献率82.4%,OPLS-DA得出10个贡献率较大成分,包括已指认出的9号峰（异荭草苷）、13号峰（牡荆素）和20号峰（连翘苷）,有利于进一步质量评价;15批...     

九子参中三个糖链上带乙酰基的新三萜皂苷-九子参苷B, C, D

从石竹科植物九子参(Silene rubicunda)根中得到四个糖链上带乙酰基的新的三萜皂苷——九子参苷A,B,C,D(rubicunosides A～D,1～4).前文已详细报道了九子参苷A的结构研究,本文报道九子参苷B,C,D的结构.通过FAB-MS和NMR,分别确定九子参苷B,C,D为糖链上带单乙酰基的三萜九糖苷、七糖苷和糖链上带双乙酰基的三萜八糖苷,分别命名为皂树酸-3-O-β-D吡喃半乳糖-(1→2)-[β-D-吡喃木糖-(1→3)]-β-D-吡喃葡萄糖醛酸-28-O-β-D-吡喃木糖-(1→3)-β-D-吡喃木糖-(1→4)-a-L-吡喃鼠李糖-(1→4)-[β-D-吡喃葡萄糖-(1→4′)-β-D-吡喃鸡纳糖-(1→2)]-[3′-O-乙酰基]-β-D-吡喃夫糖苷(九子参苷B,2),皂树酸-3-O-β-D-吡喃半乳糖-(1→2)-[β-D-吡喃木糖-(1→3)]-β-D-吡喃葡萄糖醛酸-28-O-β-D-吡喃木糖-(1→4)-a-L-吡喃鼠李糖-(1→4)-[4″-O-乙酰基-β-D-吡喃葡萄糖-(1→2)]-β-D-吡喃夫糖苷(九子参苷C,3),皂树酸-3-O-β-D-吡喃半乳糖-(1→2)-[β-D-吡喃木糖-(1→3)]-[6′-O-正丁基]-β-D-吡喃葡萄糖醛酸-28-O-β-D-吡喃木糖-(1→3)-β-D-吡喃木糖-(1→4)-a-L-吡喃鼠李糖-(1→4)-[2″-O-乙酰基-β-D-吡喃鸡纳糖-(1→2)]-[3′-O 乙酰基]-β-D-吡喃夫糖苷(九子参苷D,4).     

基于化学模式识别和熵权TOPSIS法分析鱼腥草不同部位的差异

基于高效液相色谱（HPLC）指纹图谱比较鱼腥草不同部位（茎、叶）化学成分的差异性,并综合评价鱼腥草不同部位的质量。建立鱼腥草不同部位的HPLC指纹图谱,通过相似度评价、化学模式识别及熵权TOPSIS法对其化学成分进行差异性研究,并对其质量标志物（槲皮苷）进行含量测定。建立的HPLC指纹图谱中鱼腥草药材及其茎叶均确定了8个共有峰,指认了其中6个成分;聚类分析（CA）和主成分分析（PCA）结果表明鱼腥草叶和茎的质量差异大,叶和药材的质量较接近;偏最小二乘法-判别分析（OPLS-DA）发现4种成分是造成不同批次样品差异性的主要标志物;熵权TOPSIS法分析显示同批次鱼腥草药材与其茎叶既有相关性也有差异性,且四川产地的鱼腥草药材质量较佳;含量测定结果显示,同批次鱼腥草中的槲皮苷含量由高到低均依次为叶、药材、茎。鱼腥草不同部位HPLC指纹图谱存在显著差异。该方法可反映鱼腥草不同部位质量差异性,为鱼腥草药材的质量控制及资源开发利用提供参考。     

反相高效液相色谱法测定普通鹿蹄草中的黄酮苷类成分

建立了普通鹿蹄草中5种黄酮苷(金丝桃苷、异槲皮苷、2″-O-没食子酰基金丝桃苷、槲皮素-3-O-呋喃阿拉伯糖苷和槲皮苷)的高效液相色谱检测方法。采用Zorbax Extend-C18色谱柱(250 mm×4.6 mm,5 μm),以乙腈-水(体积比14∶86)为流动相,在波长为350 nm处检测。在此条件下,样品中5种黄酮苷分离良好且无杂质峰干扰,低、中、高浓度下的回收率为96.3%~104.2%,相对标准偏差（RSD）小于5%。该方法简便快速、结果准确、重现性好,可以作为普通鹿蹄草药材及相关制剂质量控制的一个有效方法。     

高效液相色谱法测定野生和人工种植库鲁木提草中柚皮苷和木犀草素的含量

本文建立了新疆库鲁木提草中柚皮苷和木犀草素两种活性成分的高效液相色谱同时测定方法,并实现了野生及人工栽培库鲁木提草中柚皮苷和木犀草素的检测。采用Agilent HC-C_(18)色谱柱(250×4.6mm,5μm)分离,以甲醇-0.2%HAc水溶液作为流动相,在柱温为室温和流速1.00mL/min条件下进行梯度洗脱,实现了两种活性成分之间以及它们与干扰组分的良好分离。柚皮苷和木犀草素的线性范围分别为120~1 440mg/L(r=0.9998)和17.5~210mg/L(r=0.9999),加标回收率分别为93.8%~100.2%(RSD=1.8%~2.7%,n=3)和98.3%~100.6%(RSD=1.3%~2.9%,n=3)。研究结果表明野生库鲁木提草中柚皮苷和木犀草素的含量更高。     

近红外光谱法快速测定化橘红中柚皮苷的含量

利用近红外光谱快速测定技术,建立化橘红药材中柚皮苷含量测定模型;用高效液相色谱法(HPLC)测定44批不同产地的化橘红中柚皮苷的含量作为参考值,使用2350～2199 nm、1750～1600 nm和1301～1150 nm波长范围的近红外光谱检测技术,利用偏最小二乘回归分析结合交叉验证法,建立快速测定化橘红中柚皮苷含量的模型;结果表明,所建立的校正模型的相关系数和内部交叉验证均方差分别为:R~2=0.978,RMSECV=0.997,预测结果良好。该法的建立证明了近红外光谱技术应用于化橘红药材中柚皮苷含量测定的可行性;近红外光谱结合偏最小二乘法(NIR-PLS)可以快速评估化橘红药材中柚皮苷的含量,可以应用于大批化橘红药材中柚皮苷的含量测定。     

鱼腥草中黄酮类成分的高效液相色谱指纹图谱分析

采用均匀实验设计和信息理论评价方法,建立了鱼腥草中黄酮类成分的高效液相色谱(HPLC)指纹图谱的分析方法。采用建立的方法和本研究室提出的指纹图谱评价软件,对同样种植条件下10个批次的鱼腥草指纹图谱进行了相似性评价,相似度均大于0.90;同时测定了芦丁、槲皮甙和槲皮素3个成分在10批鱼腥草药材中的含量分别为0.25%～0.34%、0.27%～0.37%、0.012%～0.016%。另外对不同采收季节和不同部位的鱼腥草药材中的黄酮类成分进行了指纹图谱的测定、主成分分析以及成分含量测定,结果表明,不同季节、不同部位的鱼腥草中黄酮类化合物的指纹图谱及成分含量存在较大的差异,且药用部位的差异大于采收季节的差异。该方法为规范鱼腥草中黄酮类成分在制药和用药的实际应用提供了一些可靠的基础信息。     

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...     

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.     

Quality Evaluation of Atractylodis Macrocephalae Rhizoma Based on Combinative Method of HPLC Fingerprint,Quantitative Analysis of Multi-Components and Chemical Pattern Recognition Analysis

A method for the quality evaluation of Atractylodis Macrocephalae Rhizoma (AMR) based on high-performance liquid chromatography (HPLC) fingerprint, HPLC quantification, and chemical pattern recognition analysis was developed and validated. The fingerprint similarity of the 27 batches of AMR samples was 0.887–0.999, which indicates there was very limited variance between the batches. The 27 batches of samples were divided into two categories according to cluster analysis (CA) and principal component analysis (PCA). A total of six differential components of AMR were identified in the partial least-squares discriminant analysis (PLS-DA), among which atractylenolide I, II, III, and atractylone counted 0.003–0.045%, 0.006–0.023%, 0.001–0.058%, and 0.307–1.175%, respectively. The results indicate that the quality evaluation method could be used for quality control and authentication of AMR.     

Metabonomic study on 'Kidney-Yang Deficiency syndrome' and intervention effects of Rhizoma Drynariae extracts in rats using ultra performance liquid chromatography coupled with mass spectrometry

This paper was designed to study metabonomic characters of the ‘Kidney-Yang Deficiency syndrome’ induced by high dose of hydrocortisone and the therapeutic effects of Rhizoma Drynariae, classic traditional Chinese medicine (TCM) in treating the syndrome. A urinary metabonomics method based on ultra-performance liquid chromatography coupled with mass spectrometry (UPLC/MS) was developed. The significant difference in metabolic profiling was observed from model group (hydrocortisone-induced group) compared with the pre-dose group (rats before hydrocortisone inducing) by using the principal components analysis (PCA). The time-dependent regression tendency in Rhizoma Drynariae treatment group (hydrocortisone-induced rats followed by being administered with Rhizoma Drynariae ethanol extracts) from day 3 to 15 was obtained, indicating the time-dependent recovery effect of Rhizoma Drynariae on ‘Kidney-Yang Deficiency syndrome’ rats. Some significantly changed metabolites like phenylalanine, phenylacetylglycine, N₂-succinyl-l-ornithine, l-proline, creatinine, hippurate and citrate have been identified. These biochemical changes are related to the disturbance in energy metabolism, amino acid metabolism and gut microflora, which are helpful to further understand the ‘Kidney-Yang Deficiency syndrome’ and the therapeutic mechanism of Rhizoma Drynariae. The work shows that the metabonomics method is a valuable tool for studying the essence of Chinese medicine's syndrome theory and therapeutic effect mechanism of TCM.     

Application of an efficient strategy based on MAE,HPLC‐DAD‐MS/MS and HSCCC for the rapid extraction,identification, separation and purification of flavonoids from Fructus Aurantii Immaturus

This study presents an efficient strategy based on microwave‐assisted extraction (MAE), HPLC‐DAD‐MS/MS and high‐speed counter‐current chromatography (HSCCC) for the rapid extraction, identification, separation and purification of active components from the traditional Chinese medicine Fructus Aurantii Immaturus. An LC‐DAD‐MS/MS method was applied for the screening and structural identification of main components in crude extract, and five components were preliminarily identified as neoeriocitrin, narirutin, naringin, hesperidin and neohesperidin according to their UV and mass spectra. An efficient MAE method for the extraction of the three most abundant components (narirutin, naringin and neohesperidin) was optimized by the combination of univariate and multivariate approaches. The crude extract was then separated and purified by HSCCC and a total of 61.6 mg of narirutin, 207.3 mg of naringin and 159.5 mg of neohesperidin at high purities of 98.1, 97.2 and 99.5%, respectively, were obtained from 1.42 g of crude extract. The recoveries of these compounds were 86, 93 and 89%, respectively. Copyright © 2009 John Wiley & Sons, Ltd.     

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。     

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.     

Quantitative analysis of multicomponents by single marker combined with HPLC fingerprint qualitative analyses for comprehensive evaluation of Aurantii Fructus

The present study aimed to develop a strategy involving quantitative analysis of multicomponents by single marker in combination with high‐performance liquid chromatography fingerprint qualitative analysis for performing the quality control of Aurantii Fructus. The content of 12 components (eriocitrin, neoeriocitrin, narirutin, naringin, hesperidin, neohesperidin, meranzin, poncirin, naringenin, nobiletin, tangeretin, and auraptene) in samples was determined using reliable relative correction factors that were obtained using naringin as an internal reference standard. The new method demonstrated good applicability, and no significant differences were observed between the external standard method and the new method as determined by calculating standard method difference. Qualitative evaluation of samples was conducted using similarity analysis, hierarchical cluster analysis, and quality fluctuation analysis. Chromatographic fingerprint data were divided into three groups by similarity and hierarchical cluster analyses, and seven components may have a more significant impact on the quality of Aurantii Fructus in quality fluctuation analysis. Overall, the study suggests that the qualitative and quantitative analyses of multicomponents using quantitative analysis of multicomponents by single marker combined with chromatographic fingerprinting can be considered good quality criteria for performing quality control and providing technical support for the further pharmacological and pharmaceutical research of Aurantii Fructus.     

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.