白酒芳香组份与质量的相关性研究

本文首次采用ＦＦＡＰ交联毛细管柱对兼型白酒的微量香味组份进行了测定，用ＧＣ－ＭＳ结合标样核对确定了五十多种组份。用Ｒ型聚类分析、多元线性回归分析。研究了白酒中微量香味组份与质量等级间的相关性。     

红外光谱分析数据特征指纹的可视化表达方法

提出一类红外光谱分析数据特征指纹的可视化表达方法。该方法采用基于贝叶斯准则的多元统计方法对原始数据进行投影变换，再以地维灰度图对变换后数据进行可视化表征，形成基于计算机图像的虚拟化学指纹图谱。将其用于鉴别3种不同产地中药当归样品的结果表明，它能有效提取红外光谱分析数据的特征指纹，实现以虚拟指纹图谱对药材产地的分类鉴别，从而为辨识复杂化学物质体系提供了新的技术手段。     

气相色谱-质谱指纹图谱在鉴别贵州茅台酒中的应用

应用气相色谱-质谱(GC-MS)建立了贵州茅台酒的指纹图谱,确证了贵州茅台酒中35种特征组分,并采用浙江大学的中药指纹图谱相似度计算软件对样品图谱之间的相似度进行了评价和鉴别。方法的精密度及重复性良好。研究考察了38个批次贵州茅台酒、5种由贵州茅台酒股份有限公司生产的酱香型系列白酒以及12种由其他厂家生产的白酒的指纹图谱与贵州茅台酒指纹图谱模板的相似度。结果表明,通过酒的特征组分比较和基于“夹角余弦法”的指纹图谱相似度分析,可以区分贵州茅台酒和其他不同酒精度、不同香型的白酒。所建立的方法为贵州茅台酒的真伪鉴定提供了技术储备。     

快速气相色谱法分析白酒中的香味组分

中国的传统白酒里含有多种香味组分,包括醇类、醛类、酸类和酯类,它们的比率决定着白酒的香型和品质。这些组分可以使用气相色谱仪进行很好的分析并定性和定量。为了缩短分析时间,建立了一种快速检测白酒中香味组分的气相色谱法。采用该方法,用20 m×0.1 mm×0.1 μm的熔融石英毛细管柱在12 min之内完成了对白酒中香味组分的分析,分析时间只是传统色谱方法的三分之一。该方法的重现性良好。     

美国研发新质谱技术精确分析指纹残留化学物

一般的指纹分析可以查明一个人的身份,而借助一种新技术,美国研究人员能做到精确分析出指纹上残留的微量化学物质成分,这在身份识别、案件侦破甚至医学诊断方面都将大有用途。     

基于液体阵列味觉仿生传感器鉴别白酒香型的新方法

通过模拟哺乳动物的味觉系统, 建立了交叉响应的液体阵列传感器, 为鉴别白酒香型提供了新方法. 选用7种染料和1种卟啉化合物作为传感单元, 构建液体阵列传感器, 集合8个传感单元的光谱响应信号构成分析物的指纹图谱, 达到识别的目的. 使用96孔板酶标仪采集响应数据, 结合主成分分析(PCA)、分层聚类分析(HCA)和判别分析(LDA)等模式识别方法进行数据处理, 对9种具有代表性的不同香型白酒样品进行了鉴别分析. PCA结果表明, 该方法对于白酒的检测主要基于酒体微量成分, 其中酸类物质对识别的贡献最大(贡献率达54.3%), 芳香类物质贡献率为18.6%; 同时, 仅用63.4%的数据信息量即可对白酒香型进行区分. HCA结果表明, 平行样均正确归类, 各白酒之间的相似程度在聚类图上得到体现. LDA结果表明, 该阵列对于9种白酒样品香型识别的准确率达到100%.     

桑叶HILIC特征指纹图谱研究

应用亲水色谱法(HILIC)建立了桑叶药材的指纹图谱,并对10批桑叶样品进行分析,为桑叶药材的真伪鉴别及质量控制提供了新方法。采用HILIC XBridgeTMAmide色谱柱,以乙腈-水(含0.2%甲酸、20mmol/L甲酸铵、20%甲醇)为流动相,梯度洗脱,流速为0.8 mL/min,柱温为25℃,检测波长为322 nm,进样量为20μL。该方法具有良好的精密度、重现性和稳定性,检测的10批桑叶指纹图谱有17个共有峰,4个特征峰,采用ESI-TOF/MS对4个特征峰进行了指认,结合相似度分析可以用于不同产区桑叶药材的鉴别。桑叶HILIC指纹图谱有望成为桑叶药材真伪鉴别及质量控制的有力工具。     

色谱及相关技术在中药质量评价中的应用

对中药物质基础的研究方法——化学物质组学,以及中药质量评价的关键技术——指纹图谱技术做了介绍,并在此基础上综述了中药化学信息获取的关键技术——色谱及相关技术在中药质量评价中的应用。论述的结果表明,以化学物质组学为指导,结合色谱及相关技术获取指纹图谱信息及多指标成分定量信息的研究模式,对中药质量评价体系的建立具有指导意义。     

系统指纹定量法鉴别龙胆泻肝丸质量

建立龙胆泻肝丸(Longdanxiegan pill,LDXGP)的高效液相色谱(HPLC)指纹图谱,以系统指纹定量法评价其质量.采用RP-HPLC法,以宏定性相似度为参量对12批LDXGP进行聚类分析,确定用其中10批生成对照指纹图谱(RFP),以此RFP为标准用系统指纹定量法评价12批LDXGP质量.以龙胆苦苷为参照物峰,确定60个共有指纹峰,建立了LDXGP的HPLC指纹图谱.用系统指纹定量法鉴别出8批质量合格,1批含量明显偏高,1批含量明显偏低,2批化学成分数量和分布比例不合格.系统指纹定量法将整体定性分析和整体定量分析密切结合,是评价中药质量的有效方法.     

毛细管色谱直接进样法测定白酒中高碳脂肪酸乙酯的研究

介绍了采用ＦＦＡＰ键合毛细管柱直接进样测定白酒中５种高碳脂肪酸乙酯的方法，操作简捷，定量准确，检测限低达０４ｍｇ／Ｌ。用该法测定了各种香型近９０个白酒样品。改变色谱条件后，在一次直接进样分析中除能测定高碳脂肪酸乙酯外，而且还能对白酒中醇、酯、醛、酮以及有机酸等５２种香味组分进行定量测定，结果重现性良好。     

气相色谱指纹图谱用于连翘的质量控制

建立连翘挥发油的指纹图谱测定分析方法 ,为含连翘中药制剂制定指纹图谱奠定基础。采用水蒸汽蒸馏法提取不同产地连翘的挥发油 ,用毛细管气相色谱技术测定其指纹图谱 (GC FPS) ,并选用模糊聚类法分析比较。该方法灵敏度高 ,谱图有较好的重现性 ,样品稳定性好 ,1 1种连翘色谱峰重叠率 >97%。聚类分析法使谱图分析更为快速、准确 ,适用于连翘的质量控制     

Comparison of reversed‐phase liquid chromatography and hydrophilic interaction chromatography for the fingerprint analysis of Radix isatidis

Radix isatidis is a famous anti‐influenza virus herbal medicine traditionally taken as a water decoction. However, the chemical fingerprint analysis of Radix isatidis is dominantly based on RPLC, from which it is difficult to obtain fingerprint information of hydrophilic compounds. Here, we developed the separation of Radix isatidis by RPLC and hydrophilic interaction chromatography, comparing the traditional RPLC fingerprint with the hydrophilic interaction chromatography fingerprint. Besides, an anti‐viral assay of Radix isatidis was conducted to evaluate its efficacy. The fingerprint–efficacy relationships between the fingerprints and the anti‐viral activity were further investigated with principal component regression analysis. The results showed that the anti‐viral activity correlated better with the hydrophilic interaction chromatography fingerprint than with the RPLC fingerprint. This study indicates that hydrophilic interaction chromatography could not only be a complementary method to increase the fingerprint coverage of conventional RPLC fingerprint, but also can better represent the efficacy and quality of Radix isatidis.     

Qualitative and quantitative analysis of Alpiniae Oxyphyllae Fructus by high-performance liquid chromatography coupled to Fourier transform-ion cyclotron resonance mass spectrometry

Alpiniae Oxyphyllae Fructus, as a homology of medicine and food, has been widely used in China for thousands of years. However, the existing qualitative and quantitative methods are difficult to evaluate the quality of Alpiniae Oxyphyllae Fructus samples from multiple sources. In this paper, an high-performance liquid chromatography fingerprint was established for assessing the quality of Alpiniae Oxyphyllae Fructus from different areas. Then, high-performance liquid chromatography was coupled to Fourier transform-ion cyclotron resonance mass spectrometry for characterization of the chemical compositions in Alpiniae Oxyphyllae Fructus. In fingerprint analysis, 54 common peaks were confirmed and six chromatographic peaks of them were identified. The similarity of 14 samples from different areas was between 0.990 and 1.000. Moreover, a total of 30 chemical components were characterized by high-performance liquid chromatography coupled to Fourier transform-ion cyclotron resonance mass spectrometry method, six compounds of which were decisively identified. Finally, the content of nootkatone was determined by high-performance liquid chromatography. In conclusion, the methods used in this study are efficient for qualitative and quantitative analysis of Alpiniae Oxyphyllae Fructus. Also, these methods can be used to control the quality of other traditional Chinese medicines.     

Combining network pharmacology with chromatographic fingerprinting and multicomponent quantitative analysis for the quality evaluation of Astragali Radix

Nowadays, cultivated variants and adulterants of Astragali Radix (AR) have flooded the market, causing the quality assurance of AR to be challenging. To address this issue, we combined network pharmacology with chromatographic fingerprinting and multicomponent quantitative analysis for the quality evaluation of AR. Specifically, through network pharmacology, a complete understanding of the active components and pharmacological activities of AR was established. In addition, establishing fingerprint profiles and multicomponent quantitation by high-performance liquid chromatography (HPLC) is convenient and comprehensive, and can more fully reflect the overall situation of the distribution of various chemical components. To evaluate and differentiate AR from different origins, hierarchical cluster analysis and principal component analysis were performed. The result showed that AR acts synergistically through multiple targets and pathways. The content of chemical components in AR from different origins varied significantly. Combining network pharmacology and multicomponent quantification results, astragaloside II and IV and formononetin can be used as quality markers for the quality control of AR. This study provides a comprehensive and reliable strategy for the quality evaluation of AR and identifies its quality markers to ensure the quality of the herb.     

Chemical fingerprinting of Gardenia jasminoides fruit using direct sample introduction and gas chromatography with mass spectrometry detection

A rapid, rugged, and inexpensive approach is described to develop chemical fingerprints of volatile and semivolatile fractions in herbal medicine. The method is based on the combination of direct sample introduction and gas chromatography (GC) analysis with mass spectrometry detection. In comparison with routine methods, the proposed approach provides the most informative fingerprint and does not demand time-consuming extraction, pretreatment, and cleanup procedures. The approach was applied to establish the GC fingerprint of gardenia fruit (Gardenia jasminoides Ellis), in which 39 components were identified. With the help of principal components analysis, the obtained fingerprint could reveal the variation in and within different herb samples as affected by season and developmental state (wild or cultivated). The results indicated that the proposed approach could serve as a rapid, simple, and effective technique for the quality control of herbal medicines.     

Screening bioactive quality control markers of QiShenYiQi dripping pills based on the relationship between the ultra‐high performance liquid chromatography fingerprint and vascular protective activity

Traditional Chinese medicine consists of complex phytochemical constituents. Selecting appropriate analytical markers of traditional Chinese medicine is a critical step in quality control. Currently, the combination of fingerprinting and efficacy evaluation is considered as a useful method for screening active ingredients in complex mixtures. This study was designed to develop an orthogonal partial least squares model for screening bioactive quality control markers of QishenYiqi dripping pills based on the fingerprint–efficacy relationship. First, the chemical fingerprints of 49 batches of QishenYiqi dripping pill samples were established by ultra‐high performance liquid chromatography coupled with a photodiode array detector. Second, ultra‐high performance liquid chromatography coupled with quadrupole‐time‐of‐flight mass spectrometry was exploited to systematically investigate the 36 copossessing fingerprint components in QishenYiqi dripping pills. The vascular protective activity of QishenYiqi dripping pills was determined by using a cell counting kit‐8 assay. Finally, fingerprint–efficacy relationship was established by orthogonal partial least squares model. The results indicated that ten components exhibited strong correlation with vascular protective activity, and these were preliminarily screened as quality control markers. The present study provided a novel idea for the study of the pharmacodynamic material basis and quality evaluation of QishenYiqi dripping pills.     

Thermal-desorption gas chromatographic procedure for screening coal fly ash for volatile organic compounds

Thermal desorption of coal fly ash in a flowing stream of helium liberates volatile compounds which are collected on Tenax resin. A chemical “fingerprint” of these components collected from the fly ash is obtained by using thermal desorption of the material collected on the Tenax resin and capillary-column gas chromatography. Compounds ranging in volatility from that of benzene (b.p. 80°C) through C₁-phenanthrene (b.p. ca. 360°C) are detected, but recoveries of components only through naphthalene (b.p. 218°C) are suitable for quantitative work. The method provides chemical information on volatile organic compounds complementary to that achieved by procedures based on solvent extraction.     

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。     

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.     

Comparing chemical fingerprints of herbal medicines using modified window target-testing factor analysis

A chromatographic fingerprint of a herbal medicine is essentially its chromatographic spectrum: a characteristic representation of its chemical components, some of which are pharmacologically active. Since a wide variety of factors, such as the geographical location, the harvest season, and the part used can influence the chemical constituents (and therefore the pharmacological activity) of any particular herbal medicine and its products, these fingerprints provide a way to compare and contrast the compositions of different variants of the same herbal medicine. In particular, it is possible to ascertain whether particular components present in one herbal fingerprint are also present in another fingerprint. In this work we use a novel method—modified window target-testing factor analysis (MWTTFA), based on the use of target factor analysis (TFA), fixed-size moving window evolving factor analysis (FSMWEFA) and a Gaussian shape correction to the chromatographic profiles—to achieve this end. To demostrate the strategy, the fingerprints of samples from garlics produced in different geographical locations were compared, as well as the fingerprints of samples taken from above-ground and below-ground parts of Houttuynia cordata Thunb. The results from these comparisons clearly show that four chemical components present in Hunan common edible garlic are absent in Xingping base garlic, while seven components are present in Xingping base garlic but absent in Hunan common edible garlic. Also, eleven components are present in the sample from the above-ground part of Houttuynia cordata Thunb but not in the sample from the below-ground part, while seven components are present in the sample from the below-ground part of Houttuynia cordata Thunb that are not present in the sample from the above-ground part. These interesting conclusions should be very useful for future pharmacological and clinical research into these herbal medicines, and the novel MWTTFA technique can also be used for quality control purposes.