免疫算法用于复杂样品的GC-MS快速分析

建立了一种基于免疫算法的复杂样品气相色谱-质谱联用(GC-MS)快速分析方法, 该方法采用快速温度程序测定复杂样品的GC-MS信号, 再通过快速解析得到各组分的信息. 计算过程中, 采用各种可能存在于混合物中的组分质谱作为算法的输入, 按照保留时间的顺序逐一对重叠的质谱信号进行解析, 得到各组分的色谱信息. 对于混合物中实际存在的组分可得到该组分的色谱流出曲线, 而对于混合物中不存在的组分所得色谱流出曲线几乎为零. 采用所建立的方法对含有16个组分的有机磷农药混合物进行了分析, 在保留时间10 min内得到了所有组分的色谱信息.     

在线液相-气相二维色谱高灵敏测定卷烟主流烟气中的4-（N-甲基亚硝胺基）-1-（3-吡啶基）-1-丁酮

建立了在线液相-气相二维色谱测定卷烟主流烟气中4-(N-甲基亚硝胺基)-1-(3-吡啶基)-1-丁酮(NNK)的方法。 NNK 的分析在在线凝胶气质联用仪上进行,采用自行装填的微型碱性氧化铝柱,并把仪器上的凝胶柱换成氧化铝柱,用于 NNK 的分析。捕集有主流烟气总粒相物的剑桥滤片用二氯甲烷提取,以 D4-NNK 为内标,提取液经微型氧化铝柱分离,含 NNK 的部位切割进入气相色谱,排干溶剂后启动气相色谱升温经毛细管柱进行分离,用质谱检测。本方法将烟气国标方法 NNK 测定中的氧化铝柱色谱净化和气相色谱-质谱分析在线连接起来,可不经样品前处理净化直接进样分析;每次进样可达40μL,是常规气相色谱-质谱分析最大进样量(2.0μL)的20倍,显著提高了分析灵敏度。方法线性范围达1.2~120 ng/ mL,相关系数为r=0.9998,回收率为93.9%~96.0%;检出限和定量限分别为0.25 ng/ mL 和0.9 ng/ mL,样品分析结果与中国烟草总公司企业标准方法进行对比,结果相符合。     

基于高通量解析算法的复杂样品重叠气相色谱-质谱信号的快速分析

化学计量学算法为重叠气相色谱-质谱(GC-MS)信号的解析提供了有效手段,但其在计算过程中一般需要将数据进行分段处理,然后只对信号的某些区间进行解析,难以实现真正意义上的高通量分析。该文结合移动窗口目标转换因子分析(MWTTFA)和非负免疫算法(NNIA),建立了一种高通量解析方法。首先,根据所有可能存在的目标组分的标准质谱信息,利用MWTTFA检验复杂信号中存在的组分,并确定目标组分的质谱信息和洗脱时间区域。以得到的质谱信息作为后续计算的输入值,利用NNIA解析得到相应的色谱信息。采用快速升温程序对17种和42种农药混合标准样品的GC-MS信号进行分析,利用所建立的方法可在10 min内得到全部组分的色谱和质谱信息。     

裂解气相色谱-质谱法分离鉴定聚氨酯防水涂料中的煤焦油

建立了采用闪蒸裂解气相色谱-质谱测定固化后的聚氨酯防水涂料中的煤焦油的新方法。该方法方便快捷,无需对样品进行前处理,而且测定结果不受聚氨酯组分的干扰。该方法在建筑材料中有毒有害组分的分析检测方面有一定的应用价值。     

沉积物中氯化石蜡与多氯联苯的分离及气相色谱-质谱检测

建立了沉积物中氯化石蜡(CPs)和多氯联苯(PCBs)的提取、分离和检测方法。沉积物样品用二氯甲烷索氏抽提,采用弗罗里硅土/硅胶复合柱纯化和分离。先用80 mL正己烷淋洗得到PCBs组分,再用60 mL二氯甲烷淋洗得到CPs组分,从而实现两者的有效分离。以气相色谱-低分辨质谱(负离子化学源)-选择离子监测技术测定CPs组分,气相色谱-质谱(电子轰击源)-选择离子监测技术测定PCBs,内标法定量,并对样品前处理条件和色谱质谱条件进行优化。在优化条件下,目标化合物(工业品CP52和22种PCB单体)的回收率为86%～99%,RSD<10%。24种短链氯化石蜡(SCCPs)和24种中链氯化石蜡(MCCPs)的方法检出限分别为0.144～3.47 ng/g和0.530～2.24 ng/g。PCBs(一氯～七氯)的方法检出限为0.220～1.08 ng/g。应用该方法检测了东江6个沉积物中CPs和PCBs的含量,沉积物样品中SCCPs的含量为0.245～1.58μg/g(干重),MCCPs的含量为0.538～1.83μg/g,PCBs的含量为1～100 ng/g。     

在线热裂解/气相色谱-质谱联用技术研究八角茴香油的热裂解行为

采用在线热裂解/气相色谱-质谱(Py/GC-MS)联用技术分析研究了八角茴香油的主要成分和裂解产物,探讨了氦气氛围中八角茴香油在300,400,500,600,700,800℃下的热裂解行为。结果从八角茴香油中检测出13种组分,其中反式茴香脑占94.848%;从裂解产物中检测出28种物质;八角茴香油组分在低温下(300~500℃)大部分发生转移;高温下(600~800℃)裂解相对比较剧烈,生成一些香味物质及甲苯、乙苯等有害物质;反式茴香脑在500℃时具有最大的转移率。上述结果为八角茴香油在食品中的应用提供了参考。     

非正常食用油的在线甲基化-气相色谱测定及模式识别分析研究

建立了食用油中脂肪酸组成的在线水解甲基化-气相色谱测定方法,分析了20余种常用食用油与非正常食用油样品。将1μL(3 mg/mL)油脂样品与2μL衍生化试剂四甲基氢氧化铵(TMAH,25%甲醇溶液)加入裂解器,在350℃下,油脂加水分解瞬间衍生化成相应的脂肪酸甲酯。基于气相色谱图上分离鉴定到的10个共有峰的相对强度,建立了食用油的气相色谱指纹图谱。结合化学模式识别即主成分分析和系统聚类分析对合格食用油和非正常食用油样品的色谱图进行了识别分析。结果表明,建立的指纹图谱结合模式识别技术可以较好的区分合格食用油与非正常食用油样品。     

毛细管液相色谱高温毛细管气相色谱在线联用方法在原油族组成分析中的应用

 原油经过脱沥青处理后 ,采用填充毛细管液相色谱 (PC HPLC)与高温毛细管气相色谱 (HTGC)在线联用技术分析原油中的脂肪烃、芳烃、胶质。样品经过PC HPLC族分离后 ,各族组分峰被依次切割并存放在多位储存接口内 ,再分别无损失地转入GC进行各族组分的定量分析。方法简单、灵活 ,重复性误差 (RSD)≤ 3%。     

高效液相色谱指纹图谱在中药芦根上的应用

利用现代分离分析技术如高效液相色谱(HPLC)与气相色谱(GC),能够获得中草药的色谱指纹图谱。本实验报道了高效液相指纹图谱应用于快速检测中草药提取物以及应用于研究、开发与生产中的质量控制体系中,利用HPLC建立芦根的色谱指纹图谱。实验条件为反相C18柱,流速为1．0mL／min,紫外检测器(λ=230nm)。通过分析比较色谱指纹图谱中的相对保留值α以及相对面积St对不同产地的芦根进行对比研究。这种基于HPLC的分析策略为中草药的精确鉴定和质量控制提供了有效的信息,并为HPLC在复杂组分样品中的应用开拓了新的领域。     

微波萃取/气质联用法测定细颗粒物(PM2.5)中邻苯二甲酸酯类化合物

建立了环境空气细颗粒物(PM2.5)中痕量邻苯二甲酸酯类化合物(PAEs)的微波萃取(ME)/气相色谱-质谱联用(GC-MS)分析方法。样品经乙酸乙酯-丙酮混合溶剂微波提取后,经DB-5MS色谱柱分离,采用SCAN/SIM模式进行质谱测定,外标法定量。结果显示,PAEs的线性范围为100~1 000 pg,方法的检出限为0.101~0.262 ng/m3,加标回收率81.6%~129%。将本方法应用于常州化工园区环境空气细颗粒物中PAEs的分析检测发现,大部分PAEs在样品中检出,其中邻苯二甲酸二异丁酯(DIBP)、邻苯二甲酸二丁酯(DBP)、邻苯二甲酸二辛酯(DEHP)检出浓度较高,方法能够满足环境空气细颗粒物中痕量PAEs的测定要求。     

朝鲜淫羊藿的色谱指纹图谱及液相色谱/电喷雾串联质谱分析

建立了长白山区朝鲜淫羊藿药材的高效液相色谱指纹图谱的分析方法. 确定了18批朝鲜淫羊藿药材的13个共有峰, 该指纹图谱的精密度、稳定性和重现性的相对标准偏差均低于3.0%. 结合液相色谱/电喷雾串联质谱对特征峰进行了结构确认, 并根据电喷雾串联质谱数据推测了13个特征化合物的结构. 结果表明采用高效液相色谱与质谱联用技术对朝鲜淫羊藿色谱指纹图谱中的特征峰进行结构确认, 使其色谱指纹图谱的特征性更强, 更适合于药材质量的鉴别与评价.     

Quality evaluation of Rhizoma Belamcandae (Belamcanda chinensis (L.) DC.) by using high-performance liquid chromatography coupled with diode array detector and mass spectrometry

A high-performance liquid chromatography coupled with diode array detector and mass spectrometry (HPLC-DAD-MS) method was developed to evaluate the quality of Rhizoma Belamcandae (Belamcanda chinensis (L.) DC.) through establishing chromatographic fingerprint and simultaneous determination of seven phenolic compounds. The analysis was achieved on an Alltima C(18) analytical column (250 mm x 4.6 mm i.d. 5 microm) using linear gradient elution of acetonitrile-0.1% trifluoroacetic acid. The correlation coefficients of similarity were determined from the HPLC fingerprints, and they shared a close similarity. By using an online APCI-MS/MS, twenty phenols were identified. In addition, seven of these phenols including mangiferin, 7-O-methylmangiferin, tectoridin, resveratrol, tectorigenin, irigenin and irisflorentin were quantified by the validated HPLC-DAD method. These phenols are considered to be major constituents in Rhizoma Belamcandae, and are generally regarded as the index for quality assessment of this herb. This developed method by having a combination of chromatographic fingerprint and quantification analysis could be applied to the quality control of Rhizoma Belamcandae.     

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。     

Multidimensional Gas Chromatography–Mass Spectrometry Method for Fingerprinting Polycyclic Aromatic Hydrocarbons and Their Alkyl-Homologs in Crude Oil

The composition of polycyclic aromatic hydrocarbons in crude oil is usually too complex to use standard capillary gas chromatography to separate all of the components. In this study, a multidimensional gas chromatography–mass spectrometry (GC-MS) technique was used to analyze polycyclic aromatic hydrocarbon fractions of crude oil collected from the Dongying oil field in the Bohai Sea. A DB-17MS column (30?m?×?0.25?mm?×?0.25?µm) was used as a prefractionating column and only selected heart-cuts were transferred to the second chromatographic dimension (HP-5MS, 15?m?×?0.25?mm?×?0.25?µm) by a pressure-adjusted continual flow-type switching device for quantification of the polycyclic aromatic hydrocarbons. The chromatographic elements and parameters, such as detector selection and column combinations, were optimized. Naphthalene, phenanthrene, fluorene, dibenzothiophene, chrysene, and their C₁–C₄ alkyl homologs were identified. The profile of the polycyclic aromatic hydrocarbons obtained using the multidimensional GC-MS method was compared with the results obtained by traditional one-dimensional GC-MS.     

Study on chemical constituents and fingerprints of Phellodendron amurense Rupr. based on ultra-performance liquid chromatography–quadrupole–time-of-flight–mass spectrometry

The chemical constituents from Phellodendron amurense Rupr. were characterized systematically by ultra-performance liquid chromatography—quadrupole–time-of-flight–mass spectrometry method for collecting mass spectrometry data, and the fingerprints method was established, providing reference for its quality control. The chromatographic column was ACQUITY UPLC BEH-C₁₈ (100 mm×2.1 mm, 1.7 μm). The mobile phase was acetonitrile-0.1% formic acid aqueous solution and the compounds from P. amurense Rupr. were identified by Qualitative Analysis 10.0 software, reference substance, retention time, mass spectrometry fragmentation pattern and database retrieval. Meanwhile, liquid chromatography–mass spectrometry fingerprint methods of P. amurense Rupr. and Phellodendron chinense Schneid. were established by using the similarity evaluation system of chromatographic fingerprint of traditional Chinese medicine (2012 edition), and the differences were analyzed by multivariate statistical analysis methods. A total of 105 compounds were identified, including 102 alkaloids, two phenolic acids, and one lactone compound. Liquid chromatography–mass spectrometry fingerprint method was established with ideal precision, stability and repeatability, and 12 quality differential markers were recognized between the above two herbs. Liquid chromatography–mass spectrometry method can be used for qualitative analysis of the constituents of Phellodendron amurense Rupr., providing reference for clarifying the material basis and promoting the clinical precision medication and quality evaluation of P. amurense Rupr.     

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.     

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 mm×250 mm,5μm);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、聚类分析(CA)、主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)对22批枳实进行数据分析及质量评价。结果显示:指纹图谱共标定12个共有峰,HPLC-QTOF-MS分析指认出11个成分;22批枳实样品的相似度在0.9以上;CA、PCA和OPLS-DA的分析结果一致,其中江西产地聚为一类,湖南和福建产地聚为一类,并筛选出橙皮苷、新橙皮苷和柚皮苷3个差异性质量标志物。所建立的枳实HPLC指纹图谱方法稳定、可靠,可为其质量控制提供参考依据。     

Development, optimization and validation of a fingerprint of Ginkgo biloba extracts by high-performance liquid chromatography

A four-step development, optimization and validation strategy for high-performance liquid chromatography (HPLC) fingerprints of Ginkgo biloba extract is described. A suitable chromatographic system was selected first. The following step was performing a screening design to select important parameters. After selecting some controllable parameters and their range to further optimize, gradient optimization with uniform design was done. At last, method validation including determination of injection precision, repeatability, and a sample stability test, was performed. Through this effective and integrated four-step method, a feasible and reliable HPLC fingerprint to identify and assess the Ginkgo biloba quality can easily be established using a linear gradient elution with acetonitrile/0.1% phosphoric acid (from 14/86 to 30/70, v/v, in 40 min) as mobile phase, a column temperature of 30 degrees C and a detection wavelength of 350 nm. The strategy can also be applied for the development of fingerprints in the quality control of other herbal medicines.     

Pesticide residue analysis in foodstuffs applying capillary gas chromatography with mass spectrometric detection. State-of-the-art use of modified DFG-multimethod S19 and automated data evaluation

This paper focuses on recent developments in the author's laboratory and reports on the "ultimate" analysis scheme which has evolved over the last 20 years in our laboratory. This demonstrates the feasibility of screening analyses for pesticide residue identification, mainly by full scan GC-MS, down to the 0.01 ppm concentration level in plant foodstuffs. It is based on a miniaturized DFG S19 extraction applying acetone for extraction followed by liquid-liquid extraction with ethyl acetate-cyclohexane followed by gel permeation chromatography. The final chromatographic determination is carried out with a battery of three parallel operating gas chromatographic systems using effluent splitting to electron-capture and nitrogen-phosphorus detection, one with a SE-54 the other with a OV-17 capillary column and the third one with a SE-54 capillary column and mass selective detection for identification and quantitation. The method is established for monitoring more than 400 pesticides amenable to gas chromatography. These pesticide residues are identified in screening analyses by means of the dedicated mass spectral library PEST.L containing reference mass spectra and retention times of more than 400 active ingredients and also metabolites applying the macro program AuPest (Automated residue analysis on Pesticides) for automated evaluation which runs with Windows based HP ChemStation software. The two gas chromatographic systems with effluent splitting to electron-capture and nitrogen-phosphorus detection are used to check the results obtained with the automated GC-MS screening and also to detect those few pesticides which exhibit better response to electron-capture and nitrogen-phosphorus detection than to mass spectrometry in full scan.     

Characterization of a new methylated beta-cyclodextrin with a low degree of substitution by matrix-assisted laser desorption/ionization mass spectrometry and liquid chromatography using evaporative light scattering detection

A new methylated beta-cyclodextrin with a low degree of substitution was characterized by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and high-performance liquid chromatography (HPLC) with evaporative light scattering detection. Using alpha-cyano-4-hydroxycinnamic acid as the matrix and the thin layer method as the deposition procedure, MALDI-TOF-MS revealed that the mixture was composed of CDs bearing from 2 to 8 methyl groups with an average degree of substitution (DS) of 0.7 (i.e. 0.7 methyl groups per glucopyranose unit). Using a Purospher Star RP-18 endcapped column with acetonitrile-water mobile phase in gradient elution mode, HPLC was employed at analytical scale to obtain a chromatographic fingerprint of the crude mixture and at semi-preparative scale to fractionate it. MALDI-TOF-MS of these fractions revealed that the overall retention of the different derivatives, which depicts their polarity, was mainly driven by the DS and increased with the number of methyl groups on the CD moiety.