Chemical Fingerprint Analysis for Quality Control of Herba Ephedrae Based on HPLC-DAD Combined with Chemometrics Methods

A method based on high performance liquid chromatography with photodiode array detector (HPLC-DAD) was developed for chemical fingerprinting analysis of Herba Ephedrae. The index of chromatographic fingerprint's information content was utilized to optimize the fingerprint detection conditions, which reduced the time of analysis and increased the veracity of analysis greatly. Then, the similarity analysis of fingerprints was used in quality consistency evaluation of Herba Ephedrae samples. Moreover, hierarchical clustering analysis (HCA) was applied to classify the samples according to their sources and varieties. In addition, the overlapped chromatographic peaks were resolved with the help of heuristic evolving latent projection (HELP) method in order to gain the better quantitative evaluation. The results indicated that the samples could be successfully grouped in accordance with their varieties and sources. Furthermore, five marker constituents were firstly screened out to be the main chemical markers, which importantly contribute to the classification of Herba Ephedrae samples. This investigation shows that the developed methodology can be generalized to the research of quality control of herbal medicines.     

Chemical Fingerprint Analysis and Quantitative Analysis of Saccharides in Morindae Officinalis Radix by HPLC-ELSD

A method based on high performance liquid chromatography with evaporative light scattering detection (HPLC-ELSD) was developed for the quantitative analysis of three active compounds and chemical fingerprint analyses of saccharides in Morindae officinalis radix. Ten batches of Morindae officinalis radix were collected from different plantations in the Guangdong region of China and used to establish the fingerprint. The samples were separated with a COSMOIL Sugar-D column (4.6 mm × 250 mm, 5 μm) by using gradient elution with water (A) and acetonitrile (B). In addition, Trapped-Ion-Mobility (tims) Time-Of-Flight (tims TOF) was used to identify saccharides of Morindae officinalis radix. Fingerprint chromatogram presented 26 common characteristic peaks in the roots of Morinda officinalis How, and the similarities were more than 0.926. In quantitative analysis, the three compounds showed good regression (r = 0.9995–0.9998) within the test ranges, and the recoveries of the method were in the range of 96.7–101.7%. The contents of sucrose, kestose and nystose in all samples were determined as 1.21–7.92%, 1.02–3.37%, and 2.38–6.55%, respectively. The developed HPLC fingerprint method is reliable and was validated for the quality control and identification of Morindae officinalis radix and can be successfully used to assess the quality of Morindae officinalis radix.     

指纹图谱法在参麦注射液质控中的应用

 中医药理论和实践要求综合评价中药的质量 ,指纹图谱法是对中药制剂进行综合宏观分析的可行手段之一 ,因此采用反相高效液相建立了参麦注射液的特征指纹图谱。条件 :Hypersil C18(4 6mmi d × 2 5 0mm ,5 μm)反相柱 ,流动相由水 (A)和乙腈 (B)组成 ,B的体积分数在 5 0min内由 5 %线性增长到 95 % ,流速为1 0mL/min ;紫外检测 ,波长为 2 0 2nm。 2 3个特征指纹峰与内标 (联苯 )的峰面积比作为指标 ,结合主成分分析 投影判别法比较了同一厂家不同批次产品和不同厂家同类产品的化学指纹差异。     

银黄口服液的质量控制及其高效液相色谱指纹图谱的研究

利用高效液相色谱方法,建立了复方银黄口服液及其原料药材黄芩和金银花的指纹图谱,测定了银黄口服液中黄芩苷 和绿原酸的含量。以Lichrospher C18色谱柱(250 mm×4.6 mm i.d.,5 μm)为分离柱,以甲醇和0.1%磷酸水溶液为流动 相进行二元梯度洗脱,流速0. 6 mL/min,在254 nm波长下检测。采用夹角余弦和相关系数的方法,计算6批银黄口服液指 纹图谱的相似度均在0.99以上,表明银黄口服液的质量未见显著差异。将银黄口服液指纹图谱中的共有峰与原料药材黄芩 和金银花的指纹图谱中的共有峰相比较,对其归属进行确认,大部分共有峰可以匹配。     

综合线性定量指纹法评价退热解毒注射液融合指纹图谱研究

该研究引入综合线性定性相似度S1、综合线性定量相似度P1％和指纹变异系数a3个参数建立了1种新颖的综合线性指纹图谱评价方法,从定性定量的角度全面评价了中药的整体质量.方法采用高效液相二极管阵列(HPLC/DAD)采集了退热解毒注射液样品在210、254、265、330、360 nm波长下的指纹图谱并进行数据融合,同时定...     

糖与非电解质在甲酰胺中相互作用的Gibbs自由能参数

用气液色谱法测定了298.15K时10个非电解质溶质在不同浓度甲酰胺糖(葡萄糖,果糖,蔗糖)溶液中的保留参数.依据McMillanMayer理论,求得非电解质溶质与糖间的Gibbs自由能相互作用参数g_ij和g_ijj.采用OkamotoWood的基团加合法,求得各基团的Gibbs自由能相互作用参数G_x,y,讨论了非电解质溶质与糖间的相互作用以及溶剂性质的影响.     

Validated Flow Injection Spectrophotometric Assay for the Quality and Stability Control of Gemfibrozil Tablets

Abstract

A validated flow injection spectrophotometric assay has been developed and optimized for the determination of gemfibrozil in pharmaceutical formulations. The method is based on the direct measurement of the absorbance of the analyte—under flow conditions—in basic medium, at 276 nm. The assay was optimized in terms of sample injection volume and flow rate and validated in terms of linearity, repeatability, detection limit, accuracy, and selectivity. Linear calibration curve was obtained in the range of 20–100 mg l^?1, while the detection limit (1.4 mg l^?1), the repeatability (s _r <1.0%, n=12) and the sampling rate (30 h^?1) were satisfactory. The method was applied successfully to the quality control of one batch (batch no. 052) and the stability control of three batches (batches no. 049–051) of a gemfibrozil‐containing formulation (Prelisin^®, Cosmopharm Ltd, Greece).     

用热解吸处理样品-气相色谱与质谱联用法建立烟用香精指纹图谱及其在烟用香精质量控制中的应用

采用热解吸-气相色谱-质谱法,建立了香精的指纹图谱,利用夹角余弦和欧式距离法计算相似度。结果表明:利用热脱附技术能够简化样品预处理过程,保证试验的重复性,为建立指纹图谱提供可靠的数据,并避免样品预处理过程中有效成分的损失以及高沸点物质对色谱仪器的污染。夹角余弦法和欧氏距离法计算简单,两者结合能够全面考察香精的质量。     

基于脂肪酸含量分析结合化学计量学的橄榄油等级鉴别方法

建立了一种基于脂肪酸含量分析结合化学计量学技术的橄榄油等级判别方法。以经确认属性的特级初榨橄榄油和精炼橄榄油作为测试集,采用气相色谱法分别测定两类橄榄油中的脂肪酸含量,通过主成分分析（PCA）、聚类分析（HCA）及偏最小二乘判别分析（PLS－DA）法建立橄榄油的等级鉴别模型。结果表明,PCA能成功区分特级初榨橄榄油和精炼橄榄油,HCA也能有效对两种等级橄榄油进行鉴别,最终筛选出VIP值（重要贡献值）大于1的6种特征组分：C23∶0、C18∶2n6t、C24∶0、C18∶1/C18∶2、C20∶1和C18∶1n9c。同时以98个未知属性的橄榄油样品为验证集,对建立的橄榄油等级判别模型进行交叉验证（CV）,模型预测评估值（Q2）及相关系数（R2）均大于0.96,说明所建的橄榄油等级鉴别预测模型较可靠。因此,采用脂肪酸含量分析结合化学计量学技术可用于特级初榨橄榄油和精炼橄榄油的等级鉴别     

清开灵注射液HPLC/ELSD指纹图谱建立及质量相关性研究

运用高效液相色谱／蒸发光散射检测器(HPLC／ELSD)建立了复方清开灵注射液的指纹图谱。对其中7种有效成分进行了定量测定,方法学考察结果良好;通过指纹图谱相似度评价软件,对10批清开灵注射液的HPLC／ELSD指纹图谱进行了相似度计算,结果表明：10批样品相似度很好。该方法为中药质量控制提供了一种可以同时实现整体定性、指标成分定量且简便易行的方法模式。     

Methods for Quality Control of Fingerprint Chromatograms in Traditional Chinese Medicines

SometraditionalChinesemedicines (TCM )havealonghistoryofcommontherapeuticuse .Re cently ,anincreasedinterestcanbeobservedinthecharacterizationofthesenaturalsubstancesinordertohaveabettercontrolontheiractioninhealthprotection .However ,duetothecomplexityof…     

Generic Automated Fluorimetric Assay for the Quality Control of Gamma Aminobutyric Acid-Analogue Anti-Epileptic Drugs Using Sequential Injection

The first sequential injection assay for the generic determination of gabapentin and pregabalin is reported. The analytes react with o-phthalaldehyde in the presence of N-acetylcysteine as a nucleophilic reagent in alkaline medium under flow conditions to form highly fluorescent derivatives. The effect of the main instrumental and chemical variables on the assay was examined. The proposed method was validated for both analytes in terms of linearity, detection, and quantitation limits (c _L  = 160 μg L^?1, c _Q  = 480 μg L^?1 for gabapentin, and c _L  = 70 μg L^?1, c _Q  = 210 μg L^?1 for pregabalin), precision (s _r  < 1.0% in both cases), selectivity, and accuracy. The applicability of the assay was demonstrated by successfully analyzing commercially available formulations. The experimental percent recoveries were in the range of 97.9–102.0% for gabapentin and 98.3–102.3% for pregabalin.     

Methods for Quality Control of Fingerprint Chromatograms in Traditional Chinese Medicines

Some traditional Chinese medicines (TCM) have a long history of common therapeutic use. Recently, an increased interest can be observed in the characterization of these natural substances in order to have a better control on their action in health protection. However, due to the complexity of their chemical composition, it is in most ca-     

菌陈挥发油GC-MS指纹图谱分析

建立了菌陈挥发油GC-MS指纹图谱，将正交投影算法用于不同样本中共有峰的提取，提高了共有峰的识别能力，降低了由于保留时间的漂移、质谱检索匹配度不高以及色谱峰重叠而引起的共有峰识别的难度．采用共有峰率、变异率及相似度等几个指标对4个不同产地的菌陈挥发油成分进行了评价，从共性、差异和整体性等多个方面全面表征菌陈挥发油的化学模式特征．结果表明，不同产地的菌陈挥发油成分大致相同，该指纹图谱可用于菌陈中挥发油成分的质量控制．     

茵陈挥发油GC-MS指纹图谱分析

建立了茵陈挥发油GC-MS指纹图谱,将正交投影算法用于不同样本中共有峰的提取,提高了共有峰的识别能力,降低了由于保留时间的漂移、质谱检索匹配度不高以及色谱峰重叠而引起的共有峰识别的难度.采用共有峰率、变异率及相似度等几个指标对4个不同产地的茵陈挥发油成分进行了评价,从共性、差异和整体性等多个方面全面表征茵陈挥发油的化学模式特征.结果表明,不同产地的茵陈挥发油成分大致相同,该指纹图谱可用于茵陈中挥发油成分的质量控制.     

An Expeditious Method Combining Multi-Components Determination and Fingerprinting Based on Ultra Performance Liquid Chromatography-Photo Diode Array-Tandem Mass Spectrometry and Chemometrics: Application for Authentication and Quality Evaluation of Cornus Officinalis Sieb. et Zucc

Selective and efficient analytical methods for authentication and quality evaluation of herbal medicines are significant and necessary. An expeditious method combining multi-components determination and fingerprinting based on ultra-performance liquid chromatography-photo diode array-tandem mass spectrometry (UPLC-PDA -MS/MS) and chemometrics for authentication and quality evaluation of Cornus Officinalis Sieb. et Zucc was developed. Tandem mass spectrometer operating in multiple reaction monitoring (MRM) was used for determination of three characteristic constituents (morroniside, sweroside, and loganin) in C. Officinalis. Meanwhile, UPLC fingerprint of C. Officinalis was established and the data set was submitted for classification to a suite of chemometrics method. Combing main biologically active components content level and chemometrics analysis, the effects of cultivation area, harvesting, and storage time on the quality of C. Officinalis were investigated. The study reveals that multi-components determination coupled with fingerprinting could be applied for authentication and quality evaluation of C. Officinalis which is accurate, efficient, and reliable.     

Fingerprint analysis of Shankhpushpi for species discrimination by HPLC coupled with chemometric methods

Abstract

Shankhpushpi, traded in the Indian market is having different controversial botanical sources, that is, Convolvulus pluricaulis Choisy (Convulvulaceae), Clitoria ternatea Linn. (Papilionaceae), and Evolvulus alsinoides Linn. (Convulvulaceae). Simple, accurate and precise RP-HPLC-PDA method was established for quality assessment and discrimination of Shankhpushpi samples using chromatographic profiling method. In distinction to the routine method of quality assessment which uses single or dual marker peaks, all chromatographic data (retention times/variables) were used. Fifteen shankhpushpi samples were purchased from the market including authenticated samples of all three C. pluricaulis, C. ternatea, E. alsinoides. A total of 18 samples were analyzed by HPLC and the dataset was then treated with multivariate analyses like PCA and HCA by using MINITAB software. Thus, the developed method was useful in discriminating the Shankhpushpi samples and for the perseverance of quality control.     

Blending Technology Based on HPLC Fingerprint and Nonlinear Programming to Control the Quality of Ginkgo Leaves

The breadth and depth of traditional Chinese medicine (TCM) applications have been expanding in recent years, yet the problem of quality control has arisen in the application process. It is essential to design an algorithm to provide blending ratios that ensure a high overall product similarity to the target with controlled deviations in individual ingredient content. We developed a new blending algorithm and scheme by comparing different samples of ginkgo leaves. High-consistency samples were used to establish the blending target, and qualified samples were used for blending. Principal component analysis (PCA) was used as the sample screening method. A nonlinear programming algorithm was applied to calculate the blending ratio under different blending constraints. In one set of calculation experiments, the result was blended by the same samples under different conditions. Its relative deviation coefficients (RDCs) were controlled within ±10%. In another set of calculations, the RDCs of more component blending by different samples were controlled within ±20%. Finally, the near-critical calculation ratio was used for the actual experiments. The experimental results met the initial setting requirements. The results show that our algorithm can flexibly control the content of TCMs. The quality control of the production process of TCMs was achieved by improving the content stability of raw materials using blending. The algorithm provides a groundbreaking idea for quality control of TCMs.     

近红外光谱与化学计量学方法用于镉污染稻米的定性鉴别

采用近红外光谱漫反射模式结合化学计量学方法对稻米镉含量是否超标进行可行性鉴别分析.本研究收集了120个样本,测定其镉含量值(合格49个,不合格71个).对光谱数据预处理方法优化,确定了平滑,一阶导数以及自归一化后的数据作为输入变量.采用竞争性自适应重加权算法筛选了45个关键变量,并对上述变量的光谱吸收带进行归属.比较了主成分分析-判别分析法、偏最小二乘识别分析、线性判别分析、K-最近邻法与簇类独立软模式法5种模式识别方法.确定采用偏最小二乘识别分析建模效果最好,模型训练集与预测集鉴别准确率分别达到98.8％与91.7％.结果表明,近红外光谱作为初筛方法可用于鉴别稻米中镉含量是否超标.     

GC-MS及主成分分析法用于咖啡香精的指纹图谱分析和微差样品的识别

采用正己烷溶剂萃取法提取咖啡香精中的挥发性和半挥发性成分,并通过气相色谱-质谱法建立了咖啡香精的色谱指纹图谱,共定性了22个组分,占总量的87％,采用共有峰率、组分含量的相对标准偏差及相似度等几个指标对6个不同批次的样品进行了评价,结果表明它们之间具有很大的一致性,通过相似度比较和主成分分析的投影显示法区分微差样品。该色谱指纹图谱可用作咖啡香精的质量控制。