山东不同产地丹参的HPLC指纹图谱-化学模式识别研究

建立RPHPLC指纹图谱-化学模式识别评价丹参质量的方法.利用RPHPLC法测定不同产地丹参药材的指纹图谱及丹参酮ⅡAt和丹参酮的含量,采用主成分分析、系统聚类分析和逐步判别分析对指纹图谱信息进行化学模式识别研究.在主成分分析的基础上,以前4个主成分为聚类分析的指标进行系统聚类分析,取阈值为8时,所有样品可被分为4类;并建立了相应的判别函数,回判准确率100%;以此为依据,初步建立了丹参化学模式识别的评价方法.     

复方丹参提取物高效液相色谱-紫外-蒸发光散射检测指纹图谱的建立

采用紫外/蒸发光散射检测器(UV和ELSD)串联检测技术,建立了复方丹参提取物HPLC/UV/ELSD指纹图谱。运用指纹图谱相似度评价软件,对14批复方丹参提取物HPLC/UV/ELSD指纹图谱进行相似度计算,结果相似度良好。该指纹图谱能同时反映复方丹参提取物中丹参和三七的主要化学组分特征,可有效评价复方丹参提取物的质量稳定性。     

表面解吸常压化学电离质谱快速鉴别硫磺熏蒸八角

采用自行研制的表面解吸常压化学电离质谱(DAPCI-MS),无需样品预处理,对硫磺熏蒸八角和未熏八角直接进行正、负离子模式检测,获得其化学指纹图谱,并通过主成分分析(PCA)及聚类分析(CA)方法对所获指纹谱图信息进行分析,进而对不同样品进行鉴别。结果表明,在正、负离子模式下,DAPCI-MS都可对八角表面多种特征化学成分进行分析,快速获得八角的化学指纹谱图,并能够对目标组分进行多级串联质谱鉴定,结合PCA及CA方法可对八角是否经硫磺熏蒸进行快速鉴别。本方法无需样品预处理,灵敏度高,分析速度快,无污染,可望应用于市场上硫熏制品的快速鉴别。     

基于化学指纹图谱和抗血小板聚集效价的丹参质量评价

通过化学分析和生物活性评价考察丹参药材的品质差异,探讨丹参抗血小板聚集生物活性的主要贡献成分.采用高效液相色谱(HPLC)技术建立丹参药材HPLC指纹图谱,以抗血小板聚集相对效价作为指标,评价不同产地不同批次丹参药材的品质差异,构建基于化学表征及生物效价测定的评价模式.结果表明,不同批次丹参药材的HPLC指纹图谱相似度很高(相似度0.930~0.998),而其抗血小板聚集相对效价相差10倍,提示化学指纹图谱难以反映丹参的活性和质量差异.通过化学指纹图谱与抗血小板聚集生物效价进行谱效相关分析,筛选出与生物活性相关系数大于0.5的6个色谱峰:二氢丹参酮Ⅰ、隐丹参酮、丹参酮Ⅰ、丹参酮ⅡA及2个未知化合物.对上述4种已知化合物单体进行活性验证发现,隐丹参酮的抗血小板聚集活性最强,而其它3种丹参酮类化合物几乎没有体外抗血小板聚集活性.进一步比较丹参中高含量成分丹酚酸B与低含量成分隐丹参酮的活性贡献,结果表明,两者的活性贡献基本相当,说明隐丹参酮是丹参中低含量高活性成分,对评价丹参质量具有重要贡献度.     

表面解吸常压化学电离质谱快速鉴别樟木制品

采用自行研制的表面解吸常压化学电离质谱(SDAPCI-MS),在无需样品预处理的情况下,对樟木制品及普通木材进行检测,在正离子模式及m/z 90～400范围内获得其化学指纹图谱,并通过主成分分析(PCA)方法对所获指纹谱图信息进行分析,进而对不同样品进行鉴别。结果表明,SDAPCI-MS能够对樟木表面多种特征化学成分(樟脑,香叶醇等)进行解吸电离,快速获得樟木的化学指纹谱图,并能够对目标组分做多级串联质谱鉴定。结合PCA方法,可对不同品质、不同种类的木材样品进行区分。结果表明,本方法灵敏度高,分析速度快(单个样品分析时间小于3 min),可望应用于珍贵木材快速无损分析及品质鉴定。     

膜萃取电喷雾电离质谱快速分析菌血血样的研究

采用自行研制的膜萃取电喷雾电离质谱(MEESI-MS),将大肠杆菌、金黄色葡萄球菌、肺炎克雷伯氏菌和铜绿假单胞菌4种细菌通过血液培养后,正、负离子模式下进行质谱检测,获得其化学指纹图谱,通过主成分分析(PCA)方法对所获指纹谱图信息进行分析,并对样品进行分类。结果表明,MEESI-MS可快速获取菌血血样化学指纹谱图,结合PCA方法对菌血血样中细菌种类进行快速鉴别,菌血样品培养时间约60 min,整体分析时间少于65 min。本方法样品预处理简单、操作简便、分析速度快,可望用于临床菌血症和败血症的细菌种类的快速鉴别。     

利用样本成分耗散物的非线性化学指纹图谱原理及相似度计算与评价

在恒温恒压条件下,以丙酮和样本中底物作为主要耗散物的不同成分的样本对非线性化学反应机理产生不同影响,从而引起反应体系电位-时间曲线形状不同变化为特征的B-Z化学振荡体系为例,就非线性化学指纹图谱原理进行了详细研究和讨论,并提出了计算非线性化学指纹图谱系统相似度的通用方法.利用系统相似度和欧氏距离、相关系数及夹角余弦对不同生产批次古汉养生精和18种其他样本的非线性化学指纹图谱的相似度进行了计算与分析.结果表明,相关系数和夹角余弦都不能用来作为评价非线性化指纹图谱相似度的指标.利用欧氏距离公式计算指纹图谱的非参数型相似度时,能正确反映指纹图谱的特征差异,但用其计算参数型相似度时,则有时不能正确反映样本非线性化学指纹图谱特征差异的相对程度.系统相似度能最真实反映样本指纹图谱之间差异程度,是4种相似度计算方法中最好的,可用于非线性化学指纹图谱相似度计算与评价.成功提出了一种经济、简便、易行和有效的鉴别样本真伪与评价其质量的科学方法.     

色谱指纹图谱在香精香料质量控制中的应用

烟用香精香料化学成分复杂,现无合适的化学质量控制方法,通过实例,对10个批次正常生产的香料标样进行同时蒸馏萃取,取其萃取液进行气相色谱氢焰检测.进行同组分色谱峰的匹配,根据相对峰面积求出标准指纹图谱,然后10批标样各自与标准指纹图谱进行相似度计算,据此设立待测样品的合格性允差范围.待测样品与标准指纹图谱进行谱峰匹配,计算与标准指纹图谱的相似度,依据合格性允差范围,判定其质量状况.     

丹参水溶性成分的电喷雾质谱行为及其特征图谱的初步研究

应用电喷雾-质谱(ESI-MS)技术研究了原儿茶醛和丹参素的ESI-MS规律,结合ESI-MS技术,对9种丹参水溶性成分的质谱行为进行了研究,并对其中5种成分进行了定性分析。同时利用选择性离子检测质谱技术,初步建立了丹参水溶性成分SIM-MS特征图谱,该图谱简单、易于解析,重现性与特征性较好,可以用于丹参药材及复方丹参的快速指纹鉴别。     

指纹图谱结合化学计量学方法研究新疆薰衣草精油成分

采用水蒸汽蒸馏法(SD)提取薰衣草挥发油,气相色谱-质谱联用(GC-MS)技术分析其化学成分及相对含量。通过气相色谱法(GC)建立其色谱指纹图谱,并结合化学计量学方法对其进行品种鉴别。3种薰衣草精油中共检测29种挥发性化学成分,其中共有成分有18种;31批薰衣草样本的GC指纹图谱相似度均大于0.9,符合指纹图谱相似度的要求,利用主成分分析法(PCA)和聚类分析法(HCA)对GC指纹图谱进行识别,可直观地区分薰衣草品种,该方法可应用于薰衣草质量控制及品种鉴别。     

Multiple chromatographic fingerprinting and its application to the quality control of herbal medicines

Recently, chromatographic fingerprinting has become one of the most powerful approaches to quality control of herbal medicines. However, the performance of reported chromatographic fingerprinting constructed by single chromatogram sometimes turns out to be inadequate for complex herbal medicines, such as multi-herb botanical drug products. In this study, multiple chromatographic fingerprinting, which consists of more than one chromatographic fingerprint and represents the whole characteristics of chemical constitutions of the complex medicine, is proposed as a potential strategy in this complicated case. As a typical example, a binary chromatographic fingerprinting of “Danshen Dropping Pill” (DSDP), the best-sold traditional Chinese medicine in China, was developed. First, two HPLC fingerprints that, respectively, represent chemical characteristics of depsides and saponins of DSDP were developed, which were used to construct binary chromatographic fingerprints of DSDP. Moreover, the authentication and validation of the binary fingerprints were performed. Then, a data-level information fusion method was employed to capture the chemical information encoded in two chromatographic fingerprints. Based on the fusion results, the lot-to-lot consistency and frauds can be determined either using similarity measure or by chemometrics approach. The application of binary chromatographic fingerprinting to consistency assessment and frauds detection of DSDP clearly demonstrated that the proposed method was a powerful approach to quality control of complex herbal medicines.     

Quality Assessment of Cardiotonic Pills by HPLC Fingerprinting

An HPLC method has been developed for the fingerprinting and quantitative analysis of cardiotonic pills. A standard fingerprint containing 11 common peaks at three wavelengths was constructed from ten batches of pills to evaluate batch-to-batch consistency. In addition, the amounts of three marker compounds were also determined to evaluate the quality of the quantitative analysis. Chromatographic fingerprints at three wavelengths, along with the content of three marker compounds were found to be suitable for quality assessment. Fufang Danshen Pian (cardiotonic tablets), a traditional dosage form is produced from three kinds of Chinese medicinal herbs for the prevention and treatment of angina pectoris and coronary heart disease. Fufang Danshen Pian mainly contained an additional group of liposoluble components besides salvianolic acid B from Salvia miltiorrhiza Bunge while cardiotonic pills only contained water-soluble components. Therefore, the fingerprint accompanied with marker compounds can be used to assess the quality of the cardiotonic pills.     

Micellar electrokinetic capillary chromatography fingerprints combined with multivariate statistical analyses to evaluate the quality consistency and predict the fingerprint–efficacy relationship of Salviae miltiorrhizae Radix et Rhizoma (Danshen)

Micellar electrokinetic capillary chromatography fingerprinting combined with quantification was successfully established and applied to evaluate the quality consistency of Danshen, which is a medicinal herb used to treat various diseases, especially coronary cerebrovascular diseases. A background electrolyte composed of 20 mmol/L sodium tetraborate, 90 mmol/L orthoboric acid, 25 mmol/L sodium phosphate monobasic dehydrate, and 65 mmol/L sodium dodecyl sulfate was used to separate compounds. To optimize micellar electrokinetic capillary chromatography conditions, a response surface strategy was set up for orthogonal experimental design. In fingerprint assessments, a systematic quantified fingerprint method was established for integrated quality assessment of Danshen samples from qualitative and quantitative perspectives, by which the quality of 30 samples was well differentiated. The principal component analysis coupled with quantitative determination of two components was applied to explain that the quality consistency of the medicinal herb was relatively good within one harvest season, but poor among harvest seasons for the Danshen samples. In addition, the fingerprint–efficacy relationship between the chemical fingerprints and antioxidant activities was investigated utilizing orthogonal projection to latent structures, which provided important medicinal efficacy information for quality control. This work offered an efficient, holistic, and powerful approach to evaluate the quality consistency of Danshen samples.     

Determination of chlorogenic acid in plant samples by using near-infrared spectrum with wavelet transform preprocessing.

By theoretical analysis, it is found that wavelet transform (WT) with a wavelet function can be regarded as a smoothing and a differentiation process, and that the order of differentiation is determined by the vanishing moment, which is an important property of a wavelet function. Therefore, a method based on the continuous wavelet transform (CWT) for removing the background in the near-infrared (NIR) spectrum is proposed, and it is used in the determination of the chlorogenic acid in plant samples as a preprocessing tool for partial least square (PLS) modeling. It is shown that the benefit of the proposed method lies not only in its performance to improve the quality of PLS model and the prediction precision, but also in its simplicity and practicability. It may become a convenient and efficient tool for preprocessing NIR spectral data sets in multivariate calibration.     

Quality control method for commercially available wild Jujube leaf tea based on HPLC characteristic fingerprint analysis of flavonoid compounds

Flavonoids are the main active components of natural medicinal plants with many physiological functions. In this study, an HPLC fingerprinting method based on the distribution and relative amount of 11 bioactive flavonoids was established for the quality evaluation of commercially available wild Jujube leaf tea (JLT) from China. Separation of the crude flavonoid extract was achieved on a column filled with C₁₈ material with a high carbon content. The flavonoids in wild JLT were identified based on UV spectroscopy and accurate mass measurements by TOF‐MS. Twenty‐one batches of practical samples collected from different habitats were analyzed by using the developed HPLC method to construct the HPLC characteristic fingerprint of wild JLT. Then, combined with clustering and similarity analyses, the HPLC characteristic fingerprint was used for the authentication and quality evaluation of commercial wild JLT. Results indicated that the proposed HPLC characteristic fingerprint reflected the inherent characteristics of wild JLT collected from different regions. Authenticity identification and quality control of commercially available wild Jujube tea were achieved based on the HPLC characteristic fingerprint analysis. This new approach to bioactive component profiling provided a promising reference method for the quality evaluation of commercial wild flower and plant tea.     

Monitoring the quality consistency of Fufang Danshen Pills using micellar electrokinetic chromatography fingerprint coupled with prediction of antioxidant activity and chemometrics

A fast micellar electrokinetic chromatography fingerprint method combined with quantification was developed and validated to evaluate the quality of Fufang Danshen Pills, a traditional Chinese Medicine, which has been used in the treatment of cardiovascular system diseases, in which the tetrahedron optimization method was first used to optimize the background electrolyte solution. Subsequently, the index of the fingerprint information amount of I was performed as an excellent objective indictor to investigate the experimental conditions. In addition, a systematical quantified fingerprint method was constructed for evaluating the quality consistency of 20 batches of test samples obtained from the same drug manufacturer. The fingerprint analysis combined with quantitative determination of two components showed that the quality consistency of the test samples was quite good within the same commercial brand. Furthermore, the partial least squares model analysis was used to explore the fingerprint–efficacy relationship between active components and antioxidant activity in vitro, which can be applied for the assessment of anti‐oxidant activity of Fufang Danshen pills and provide valuable medicinal information for quality control. The result illustrated that the present study provided a reliable and reasonable method for monitoring the quality consistency of Fufang Danshen pills.     

Elimination of interference information by a new hybrid algorithm for quantitative calibration of near infrared spectra

A new hybrid algorithm is proposed to eliminate the interference information for multivariate calibration of near-infrared (NIR) spectra that includes noise, background and systemic spectral variation irrelevant to concentration. The method consists of two parts: approximate derivative based on continuous wavelet transform (CWT) and orthogonal signal correction (OSC). After the approximate derivative calculated by CWT, OSC was performed. It was successfully applied to real complex NIR spectral data to eliminate the interference information. Correction for the interference of NIR spectra resulted in a substantial improvement in the predicted precision, and a more concise calibration model was obtained. The proposed procedure also compared favourably with several pretreatment methods, and the new method appears to provide a high-performance pretreatment tool for multivariate calibration of NIR spectra. In addition, the strategy proposed here can be applied to various other spectral data for quantitative purposes as well.     

Multivariate calibration of near infrared spectra by orthogonal WAVElet correction using a genetic algorithm

Orthogonal WAVElet correction (OWAVEC) is a pre-processing method aimed at simultaneously accomplishing two essential needs in multivariate calibration, signal correction and data compression, by combining the application of an orthogonal signal correction algorithm to remove information unrelated to a certain response with the great potential that wavelet analysis has shown for signal processing. In the previous version of the OWAVEC method, once the wavelet coefficients matrix had been computed from NIR spectra and deflated from irrelevant information in the orthogonalization step, effective data compression was achieved by selecting those largest correlation/variance wavelet coefficients serving as the basis for the development of a reliable regression model. This paper presents an evolution of the OWAVEC method, maintaining the first two stages in its application procedure (wavelet signal decomposition and direct orthogonalization) intact but incorporating genetic algorithms as a wavelet coefficients selection method to perform data compression and to improve the quality of the regression models developed later. Several specific applications dealing with diverse NIR regression problems are analyzed to evaluate the actual performance of the new OWAVEC method. Results provided by OWAVEC are also compared with those obtained with original data and with other orthogonal signal correction methods.     

A method for near-infrared spectral calibration of complex plant samples with wavelet transform and elimination of uninformative variables

An algorithm is proposed for extracting relevant information from near-infrared (NIR) spectra for multivariate calibration of routine components in complex plant samples. The algorithm is a combination of wavelet transform (WT) data compression and a procedure for uninformative variable elimination (UVE). After compression of the NIR spectra by WT, the UVE approach is used to eliminate the irrelevant wavelet coefficients. Finally, a calibration model is built from the retained wavelet coefficients to enable prediction. Because irrelevant information can be removed from the spectra used for multivariate calibration, the model based on the extracted relevant features is better than those obtained with full-spectrum data. Both prediction precision and calculation speed are improved.     

Total monitoring of the constituents of Danshen tablet using micellar electrokinetic chromatography fingerprinting for antioxidant activity profiling

A micellar electrokinetic chromatography fingerprint coupled with quantification was developed for assessing the quality consistency of Danshen tablets, a traditional Chinese medicine, with pharmacological activities of activating blood to remove blood stasis and regulating the flow of vital energy to alleviate pain. Square optimization method was proposed to select the suitable background electrolyte. Subsequently, the index of chromatographic fingerprints F was simultaneously employed as an objective function to evaluate capillary electrophoresis conditions. After that, the method was proved to meet the fingerprint analysis criteria by evaluating stability, linearity, limit of detection, limit of quantification, precision, accuracy, and repeatability. Moreover, systematic quantified fingerprint method was used to evaluate chromatographic fingerprints of 30 batches of samples in terms of both quality and quantitation. The result indicated that the chemical compositions of samples were basically similar while their contents showed marked variation. In addition, the fingerprint–efficacy relationship was established using partial least squares model, which can serve as anti‐oxidant activity evaluation of Danshen tablets as well as a reference for the selection of active constituents. The proposed method can be applied for the holistic quality control of Danshen tablets.