Chemical Fingerprint for Identification and Quality Control of Saccharides in Danhong Injection Based on HPLC-ELSD with Chemometrics

Chemical fingerprinting has been widely used for the quality control of complex natural products including traditional Chinese medicines and botanical drugs. However, there is still lack of appropriate method to monitor the batch-to-batch consistency of hydrophilic constituents, such as saccharides and oligosaccharides. In the present study, we developed a novel approach based on high performance liquid chromatography with evaporative light scattering detector(HPLC-ELSD) for establishing saccharide fingerprinting of Danhong Injection(DHI), which is a widely used botanical drug for treating cardiovascular diseases. Major saccharides in DHI were isolated and four compounds including fructose, glucose and two oligosaccharides were identified. The structures of two novel saccharides named glycerol-1-O-galactfpyranosyl-(1→4)-O-arabmofuranoside, and glycerol-1-O-galactpyranosyl-(1→4)[O-arabmfuranosyl-(1→3)]-O-arabinofuranoside were confirmed by NMR, HR-ESI-MS and GC-MS for the first time. The establishment approach was successfully applied to distinguishing 12 batches of DHI from other botanical drugs with the aid of principle component analysis as well as to evaluating batch-to-batch consistency with the help of calculating similarity of tmgerprints. Our findings indicate that the chemical fingerprint of saccharides can be a useful tool for the quality control of complex natural products.     

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.     

烟用香精香料的固相微萃取-气相色谱指纹图谱及系统聚类分析

建立了1115烟用香精香料的气相色谱指纹图谱。选择65μm的PDMS/DVB作为萃取头的涂层,萃取温度及萃取时间分别为70℃和45min。用TEKNOKROMA TBR-5石英毛细管柱分离,氢火焰离子化检测器检测。应用所提出的方法分析了9个不同批次的1115烟用香精香料样品,结合系统聚类分析法区分了不同批次的样品指纹图谱,并通过掺兑试验进一步验证了方法用于烟用香精质量控制的可行性。     

Separation and determination of ephedrine and pseudoephedrine in Ephedrae Herba by CZE modified with a Cu(II)-L-lysine complex

A CZE method using a complex of 2.5 mM Cu(II)-L-lysine (molar ratio is 1:2) as additive in a run buffer solution composed of Tris-H(3)PO(4) (pH 4.5) was developed for the simultaneous determination of ephedrine and pseudoephedrine within 4 min. The effects of pH, composition, and concentration of run buffer as well as the composition and concentration of the Cu(II)-L-lysine complex on the separation were investigated. The linear ranges for the determination of ephedrine and pseudoephedrine were 15.0-225.0 and 20.0-250.0 mg/L with LODs both of 5.0 mg/L. Satisfactory result for the determination of ephedrine and pseudoephedrine in Ephedrae Herba from different producing area was obtained by the proposed method. Ephedrine and pseudoephedrine were separated effectively with each other and with the other compounds in the sample. The RSD for the determination of the two constituents in the samples varied from 1.82 to 2.76%, and the recovery ranged between 95.0 and 104.0%.     

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.     

Simultaneous determination of six active components by a single standard to determine multicomponents combined with fingerprint analysis for the quality control of Rhizoma Chuanxiong

To control the quality of Rhizoma Chuanxiong, a method based on high‐performance liquid chromatography method coupled with diode array detection was developed for the quantitative analysis of six active ingredients using a single standard to determine multi‐components and chemical fingerprint analysis for the first time. The separation was performed on an Agilent Zorbax SB‐C₁₈ column by gradient elution with methanol and aqueous phase (containing 0.5% glacial acetic acid) at a flow rate of 1.0 mL/min. The UV wavelength was set at 274 nm. This assay was fully validated with respect to precision, repeatability, and accuracy. All calibration curves showed good linearity (R²> 0.9994) within test ranges. The limit of detection and limit of quantification were lower than 0.01 and 0.03 μg/mL, respectively. The relative standard deviation for repeatability and the intermediate precision of six analytes were less than 1.6 and 2.5%, respectively, the overall recovery was 96.1–103.1%. In addition, fingerprint chromatography using hierarchical clustering analysis and similarity analysis was performed to differentiate and classify the samples. The method described here could provide a more comprehensive and reasonable scientific assessment of the quality of Rhizoma Chuanxiong. Therefore, the strategy is feasible, credible, and is easily and effectively adapted for evaluating the quality control of Rhizoma Chuanxiong.     

Qualitative and Quantitative Analysis for the Quality Control of Rhizoma Coptidis by HPLC-DAD and HPLC-ESI-MS

For quality control purpose, an approach of fingerprinting and simultaneous quantification of five major bioactive constituents of Rhizoma Coptidis was established via a high-performance liquid chromatograph coupled with a photodiode array UV detector(HPLC-DAD) and an electrospray ionization mass spectrometer(HPLC-ESI/MS). The compounds were identified on the basis of the comparison of their mass spectra with literature data and those of standard samples and quantified by the HPLC-DAD method. Baseline separation was achieved on an XTerra C 18 column(5 μm, 250 mm×4.6 mm i. d.) with linear gradient elution of formate buffer(consisting of 0.5% formic acid, adjusted to pH=4.5 with ammonia) and acetonitrile(consisting of 0.2% formic acid and 0.2% triethylamine). The me-thod was validated for linearity(r 2 0.9995), repeatability(RSD3.1%), intra-and inter-day precision(RSD1.8%) with recovery(99.9%―105.1%), limits of detection(0.15―0.35 μg/mL), and limits of quantification(0.53―0.82 μg/mL). The similarities of 32 batches of Rhizoma Coptidis and their classification according to their manufacturers were based on the retention time and peak areas of the characteristic compounds. The five compounds were selected for quality assessment of Rhizoma coptidis via partial least squares analysis(PLS).     

An improvement of window factor analysis for resolution of noisy HPLC-DAD data

Window factor analysis (WFA) is a powerful tool in analyzing evolutionary process. However, it was found that window factor analysis is much sensitive to the noise involved in original data matrix. An error analysis was done with the fact that the concentration profiles resolved by the conventional window factor analysis are easily distorted by the noise reserved by the abstract factor analysis (AFA), and a modified algorithm for window factor analysis was proposed. Both simulated and experimental HPLC-DAD data were investigated by the conventional and the improved methods. Results show that the improved method can yield less noise-distorted concentration profiles than the conventional method, and the ability for resolution of noisy data sets can be greatly enhanced.     

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.     

Quality Evaluation of Taxilli Herba from Different Hosts Based on Simultaneous Determination of Multiple Bioactive Constituents Combined with Multivariate Statistical Analysis

Taxilli Herba (TAXH) is an important traditional Chinese medicine with a long history, dating from the Eastern Han Dynasty to the present times. However, the active constituents in it that parasitize different hosts vary, affecting its clinical efficacy. Given the complexity of the host origins, evaluating the quality of TAXH is critical to ensure the safety and effectiveness of clinical medication. In the present study, a quantitative method based on ultra-fast liquid chromatography tandem triple quadrupole mass spectrometry (UFLC-QTRAP-MS/MS) was established, which simultaneously determined the content of 33 active constituents, including 12 flavonoids, 4 organic acids, 12 amino acids, and 5 nucleosides in 45 samples. Orthogonal partial least squares discriminant analysis (OPLS-DA) was employed to classify and distinguish between TAXH and its adulterants, Tolypanthi Herba (TOLH). A hierarchical clustering analysis (HCA) was conducted combined with a heatmap to visually observe the distribution regularity of 33 constituents in each sample. Furthermore, gray relational analysis (GRA) was applied to evaluate the quality of samples to get the optimal host. The results demonstrated that TAXH excelled TOLH in quality as a whole. The quality of TAXH parasitizing Morus alba was also better, while those that were parasitic on Cinnamomum camphora and Glyptostrobus pensilis had relatively poor quality. This study may provide comprehensive information that is necessary for quality control and supply a scientific basis for further exploring the quality formation mechanism of TAXH.     

Quality evaluation of moluodan concentrated pill using high‐performance liquid chromatography fingerprinting coupled with chemometrics

In this study, a fast and effective high‐performance liquid chromatography method was developed to obtain a fingerprint chromatogram and quantitative analysis simultaneously of four indexes including gallic acid, chlorogenic acid, albiflorin and paeoniflorin of the traditional Chinese medicine Moluodan Concentrated Pill. The method was performed by using a Waters X‐bridge C₁₈ reversed phase column on an Agilent 1200S high‐performance liquid chromatography system coupled with diode array detection. The mobile phase of the high‐performance liquid chromatography method was composed of 20 mmol/L phosphate solution and acetonitrile with a 1 mL/min eluent velocity, under a detection temperature of 30°C and a UV detection wavelength of 254 nm. After the methodology validation, 16 batches of Moluodan Concentrated Pill were analyzed by this high‐performance liquid chromatography method and both qualitative and quantitative evaluation results were achieved by similarity analysis, principal component analysis and hierarchical cluster analysis. The results of these three chemometrics were in good agreement and all indicated that batch 10 and batch 16 showed significant differences with the other 14 batches. This suggested that the developed high‐performance liquid chromatography method could be applied in the quality evaluation of Moluodan Concentrated Pill.     

一种基于DAD二极管阵列检测器技术的中药指纹图谱方法

用HPLC/DAD分别建立血府逐瘀口服液单波长指纹图谱和最大吸收指纹图谱, 对比两者峰数量和面积的变化情况, 采用药典委员会2004A版相似度软件评价两种方法的差异. 结果表明, 最大吸收指纹图谱比单波长指纹图谱或多波长指纹图谱更能全面地反映血府逐瘀口服液的色谱峰信息, 并且相似度结果差异明显. 该方法信息量大, 中药的整体性、宏观性及复杂性分析相适应.     

交替拟合残差算法与高效液相色谱-二极管阵列检测方法结合同时测定两种抗结核药物

本文利用化学计量学交替拟合残差(AFR)算法与高效液相色谱-二极管阵列检测(HPLC-DAD)方法相结合,同时测定两种抗结核药物异烟肼和吡嗪酰胺的含量。该法与交替三线性分解算法(ATLD)、自加权交替三线性分解(SWATLD)算法相比较,从预测均方差、预测相对误差以及平均回收率等结果来看,其预测结果更接近实际值。研究表明,基于交替拟合残差等算法的二阶校正法,可以迅速准确地给出色谱重叠情况下两个组分的预测结果,是复杂体系成分直接定量分析的一个有力的化学计量学工具。     

漫反射光谱结合化学计量学方法无损分析彩绘文物颜料

为了对彩绘文物颜料进行无损判别分析,该文采集了12种彩绘常用颜料参考样品的漫反射光谱,根据光谱曲线外形将参考样品分为红黄色系及蓝绿色系两类。使用主成分分析(PCA)分别对两个色系参考样品的光谱数据集进行降维,抽提出最有代表性的3个主成分,利用成分得分散点图确认了颜料间的类间差异,并通过成分矩阵探讨了对该差异贡献率最高的光谱波长区间。在此基础上,采用线性判别分析(LDA)对PCA的分析结果进行建模,拟合判别函数并将其应用于2件颐和园仁寿殿上架彩画文物样品颜料的分析。基于样品判别得分散点图与各类别参考样品间的距离,判定文物使用的颜料分别为铁红和群青。研究表明,该文构建的判别函数能够准确区分颜料的种类,可用于彩绘文物样品的无损分析鉴别。文物样品的污染或老化可能会影响分析,需事先进行表面清理。     

Fingerprint developing of coffee flavor by gas chromatography-mass spectrometry and combined chemometrics methods

In this paper, chromatographic fingerprint was firstly used for quality control of tobacco flavors. Based on gas chromatography-mass spectrometry (GC-MS) and combined chemometrics methods, a simple, reliable and reproducible method for developing chromatographic fingerprint of coffee flavor, one of tobacco flavors, was described. Six coffee flavor samples obtained from different locations were used to establish the fingerprint. The qualitative and quantitative analysis of coffee flavor sample from Shenzhen was completed with the help of subwindow factor analysis (SFA). Fifty-two components of 68 separated constituents in coffee flavor sample from Shenzhen, accounting for 88.42% of the total content, were identified and quantified. Then, spectral correlative chromatography (SCC) was used to extract the common peaks from other five studied coffee flavor samples. Thirty-eight components were found to exist in all six samples. Finally, the method validation of fingerprint analysis was performed based on the relative retention time and the relative peak area of common peaks, sample stability and similarity analysis. The similarities of six coffee flavor samples were more than 0.9104 and showed that samples from different locations were consistent to some extent. The developed chromatographic fingerprint was successfully used to differentiate coffee flavor from coco flavor and some little difference sample prepared with coffee flavor and coco flavor by both similarity comparison and principal component projection analysis. The developed method can be used for quality control of coffee flavor.     

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-     

Science based calibration for the extraction of 'analyte-specific' HPLC-DAD chromatograms in environmental analysis

Multivariate science based calibration (SBC) has been applied to the resolution of overlapped peaks in liquid chromatography with diode array detection (LC-DAD). Complex river water samples spiked with 11 pharmaceutical substances resulted in poorly resolved chromatograms containing additional peaks from interfering matrix compounds and a change in the background absorbance due to the mobile phase gradient. Applying the present multivariate approach it was possible to resolve all 11 analytes from overlapping peaks, obtaining linear calibration lines (R² > 0.96). Recovery percentages on spiked samples ranged between 74.6 and 113.5%, which are quite satisfactory taking into account the low concentration ranges considered to 1-7 μg L⁻¹.     

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...     

气相色谱-质谱技术结合化学计量学对5种动物油进行判别分析

测定了5种不同种类动物油(鸡油、牛油、鸭油、羊油和猪油)的脂肪酸组成和含量,探讨了利用动物油脂肪酸的指标对不同种类的动物油进行分类和判别的可能性。采用气相色谱-质谱联用技术(GC-MS)对5种动物油脂肪酸的组成和含量进行测定,利用SPSS 19.0统计软件进行主成分分析、聚类分析和判别分析。对5种动物油的脂肪酸进行统计、分析和对比,得出动物油的主要组成为C16∶0,C18∶0,C18∶1c-9,C18∶2c-9,12和C14∶0,这5种脂肪酸在鸡油、牛油、鸭油、羊油和猪油中的总含量分别为92.1%,93.5%,93.5%,90.6%和95.6%。5种脂肪酸的不饱和度均小于1。主成分分析降维得到3个主成分,利用主成分分析数据,依次进行聚类分析和判别分析,建立了3个动物油典则判别函数,相关系数均大于0.995,对于鸡油、牛油、鸭油、羊油和猪油的初始分类正确率和交叉验证正确率均为100%。