气相色谱-质谱联用法测定烟用香精中黄樟素及香豆素

采用气相色谱-质谱(GC-MS)联用分析技术,提出了烟用香精中香豆素、黄樟素的同时测定方法。色谱柱为DB-1 MS石英毛细管柱,电子轰击离子源,选择香豆素质谱图中m/z89,90,118,146;黄樟素m/z104,131,135,162各4个特征离子用于选择离子检测法检测,根据这4个离子的抽出离子色谱图的峰面积比进行目标物确证,以基峰m/z118,162作两成分的定量分析,方法的检出限(3S/N)均为0.1 mg.kg-1。用色谱保留时间、质谱特征离子同时定性,消除了香精样品中复杂基体的干扰,避免了假阳性结果的出现。     

气相色谱-质谱法测定乳制品中光引发剂异丙基硫杂蒽酮的残留量

建立了采用气相色谱（GC）-质谱(MS)检测由包装材料迁移到乳制品中的光引发剂异丙基硫杂蒽酮残留量的方法。使用氘代蒽为内标,样品经Carrez试剂除蛋白质后用丙酮-正己烷(体积比为1∶1)提取,上层提取液用氟罗里硅土固相萃取小柱净化。采用单四极杆质谱进行样品筛选和定量,选取的监测离子为m/z 184,m/z 224,m/z 239,m/z 254(异丙基硫杂蒽酮)和m/z 80,m/z 94,m/z 188,m/z 160(氘代蒽)。疑似样品采用离子阱串联质谱法进行确证,选取的母离子和子离子分别为m/z 254,m/z 239(异丙基硫杂蒽酮)和m/z 188,m/z 160(氘代蒽)。本方法的测定低限(LOQ)分别为7.0 μg/L(GC-MS)和5.0 μg/L(GC-MS/MS),回收率为74.9%~89.6%。采用该方法对11种不同类型的乳制品进行了检测,发现了两例阳性样品。     

液相色谱-串联质谱测定面条和米粉中的硫脲

建立了米面制品中硫脲的液相色谱-串联质谱(LC-MS/MS)测定方法.实验优化了样品提取方法、液相色谱条件和质谱参数.样品用80%乙醇超声波提取,离子交换色谱分离,色谱柱为NUCLEOSIL 100-5SA 阳离子交换柱,流动相为乙腈-(1%乙酸+0.2%乙酸铵)水溶液(30: 70),流速0.5mL/min.采用电喷雾质谱正离子模式电离,多反应选择离子检测,检测离子对为m/z 77/60和m/z 77/43,其中m/z 77/60为定量离子对.结果表明: 本方法简便快速、准确可靠,相对标准偏差＜4.0%;回收率为83%～90%;检出限为0.5 mg/kg;定量下限为 5 mg/kg.     

凝胶渗透色谱柱去脂-气相色谱-质谱法测定人血清中新型卤系阻燃剂

建立了凝胶渗透色谱(GPC)去脂,气相色谱-负化学电离源-质谱(GC-NCI-MS)法测定人血清中2,2’,4,4’,5,5’-六溴联苯(BB-153)、1,2-二(2,4,6-三溴苯氧基)乙烷(BTBPE)和德克隆(Dechlorane plus,DP,包括syn-DP和anti-DP)的方法。人血清样本加入内标13C12BB-153和13C10syn-DP,经蛋白质变性、脂肪提取、GPC去脂、酸性硅胶柱净化后,利用气相色谱-负化学电离源-质谱法测定样品中BB-153,BTBPE,syn-DP和anti-DP,监测离子分别为m/z 627.5,629.5,m/z 79,81以及m/z 652,654。结果表明,13 C12 BB-153和13 C10syn-DP的血清加标回收率分别为91.5%±8.9%和92.3%±8.1%,检出限为0.6～1.2 ng/g脂肪。应用本方法对人血样品进行测定,BB-153和BTBPE在所有样本中均未检出,syn-DP和anti-DP的浓度范围分别是0.7～9.2 ng/g脂肪和0.6～2.0 ng/g脂肪。     

HPLC-APCI(+)MS/MS分析动物源性食品中的硝基咪唑类药物残留量

运用高效液相色谱-大气压电离串联四极杆质谱(HPLC-APCI( )MS/MS)内标法分析动物源性食品中多种硝基咪唑类(nitroimidazoles)药物——甲硝唑(MNZ)、地美硝唑(DMZ)、替硝唑(TNZ)、洛硝唑(RNZ)的含量。样品添加氘代标示物HMMNI-D3、IPZ-OH-D3后,用乙腈提取,通过OASIS HLB C18SPE柱净化,Waters Sunfire C18色谱柱分离,采用梯度洗脱,流动相为0.1%甲酸水溶液和0.1%甲酸乙腈溶液;大气压电离源正离子MRM模式检测:MNZm/z172.0/82.1,172.0/128.0;DMZm/z142.0/81.1,142.0/96.1;TNZm/z248.0/121.0,248.0/93.1;RNZm/z201.0/140.0,201.0/110.0;IPZ-OH-D3m/z189.0/125.0,189.0/171.0;HMMNI-D3m/z161.0/58.0,161.0/143.1。方法定量下限(LOQ,S/N>10)0.2μg/kg,在质量浓度0.2~25.0μg/L范围内,峰面积与质量浓度成良好线性(r>0.999 1)。     

GC–MS–MS法测定洗发水和沐浴露中二噁烷

建立GC–MS–MS测定洗发水和沐浴露中二噁烷的方法。向样品中加入适量氯化钠并配制成水溶液,气相色谱柱为HP–5毛细管柱(30 m×0.25 mm,0.25μm),以氦气为载气,程序升温,顶空进样,以母离子m/z 88和二级质谱子离子m/z 57,58为定性离子,m/z 57为定量离子。二噁烷的质量浓度在0.10~10.0μg/m L范围内与m/z 57离子的色谱峰面积呈良好的线性关系,相关系数r=0.999 7,方法的检出限为0.05 mg/kg。测定结果的相对标准偏差为3.6%(n=6),样品加标回收率80.6%~107.0%。该方法专属、灵敏、操作简便,可用于洗发水、沐浴露中二噁烷的测定。     

基于主成分和支持向量机浓度参量同步荧光光谱油种鉴别

基于浓度参量同步荧光光谱技术,对不同溢油类型不同油源原油样品集、引入外扰相似油源样品集进行光谱数据采集,获取其浓度同步荧光光谱矩阵Concentration-Synchronous-Matrix-Fluorescence(CSMF),利用主成分分析方法对两套不同层次的原油相关样品集进行了多类分类识别。结果表明:主成分载荷图可以很好地反映各个原油相关样品在油源上的相似程度,结合支持向量机可以实现不同溢油类型及不同油源原油的准确分类,对于引入风化和海水外扰相似油源溢油样品集,两类分类区分的结果远远高于多类分类识别的结果。通过详细的主成分分析讨论,为溢油油种鉴别提供了一种利用多类分类识别,逐步缩减嫌疑样本数量,最后通过两两分类实现溢油样品准确识别的新思路。     

气相色谱-串联质谱法快速检测水果中的多效唑残留

建立了农药残留快速检测(QuEChERS)-气相色谱-串联质谱法检测桃、樱桃和荔枝中多效唑残留的分析方法.样品用乙腈快速提取,无水MgS04和NaCl除水后,经N-丙基乙二胺和石墨化炭黑净化,用气相色谱-串联质谱分析.采用多反应监测正离子模式检测,定性离子对为m/z 236/125,236/167,采用m/z 236/...     

固相萃取纯化-高效液相色谱-串联质谱法测定尿液中痕量雷公藤红素

提出了尿液中雷公藤红素的高效液相色谱-串联质谱测定方法。尿液样品经Waters Oasis HLB固相萃取柱富集、净化后,以XDB C18反相色谱柱(150 mm×4.6 mm,5μm)为分离柱,以0.5 g.L-1乙酸-乙腈(25+75)混合溶液为流动相,以氢化可的松为内标,采用负离子模式大气压化学电离源在多反应监测模式下进行检测,雷公藤红素和内标的定量离子对分别为m/z449/405和m/z419/329。线性范围为0.2~50.0μg.L-1,检出限(3S/N)为0.07μg.L-1。日内精密度(n=6)和日间精密度(n=15)分别小于9.3%和11.4%。     

催化加氢热解/气相色谱-质谱研究沉积物中生物标志物

针对地质体中高演化沉积有机质,应用催化加氢热解/气相色谱-质谱方法测定了干酪根中以共价键结合的生物标志物。结果表明,实验样品的催化加氢热解产物收率明显高于二氯甲烷（DCM）索氏抽提,产物色谱图中饱和烃的峰形、保留时间和质谱特征与索氏抽提峰形基本一致;对比两种方法产物中饱和烃主要指标甾烷m/z 217和藿烷m/z 191表明,经过加氢还原,干酪根分子网络中共价键结合着两种生物标志物分子骨架得到印证,为催化加氢热解提取沉积物中生物标志物的方法可靠性提供了依据。催化加氢热解/气相色谱-质谱技术是一种对研究高演化沉积有机质中生物标志化合物有独特作用的有效分析手段。     

Chemical fingerprinting of petroleum biomarkers in biota samples using retention-time locking chromatography and multivariate analysis

This work was conducted to study a new separation and evaluation approach for the chemical fingerprinting of petroleum biomarkers in biota samples. The final aim of this work was to study the correlation between the observed effects in the shore habitats (mussels and limpets) and one pollution source: the oil spill of the Prestige tanker. The method combined a clean-up step of the biota extracts (mussels and limpets), the retention-time locking of the gas chromatographic set up, and the multivariate data analysis of the chromatograms. For clean-up, solid-phase extraction and gel permeation chromatography were compared, and 5g Florisil cartridges assured the lack of interfering compounds in the last extracts. In order to assure reproducible retention times and to avoid the realignment of the chromatograms, the retention-time locking feature of our gas chromatography-mass spectrometry (GC-MS) set up was used. Finally, in the case of multivariate analysis, the GC-MS chromatograms were treated, essentially by derivatization and by normalization, and all the chromatograms at m/z 191 (terpenes), m/z 217-218 (steranes and diasteranes) and m/z 231 (triaromatic steranes) were treated by means of principal component analysis. Furthermore, slightly different four oil samples from the Prestige oil spill were analyzed following the Nordtest method, and the GC-MS chromatograms were considered as the reference chemical fingerprints of the sources. In this sense, the correlation between the studied samples, including sediments and biota samples, and the source candidate was completed by means of a supervised pattern recognition method. As a result, the method proposed in this work was useful to identify the Prestige oil spill as the source of many of the analyzed samples.     

Multivariate statistical methods for evaluating biodegradation of mineral oil

Two methods were developed for evaluating natural attenuation and bioremediation of mineral oil after environmental spills and during in vitro experiments. Gas chromatography-mass spectrometry (GC-MS) in selected ion monitoring (SIM) mode was used to obtain compound-specific data. The chromatographic data were then preprocessed either by calculating the first derivative, retention time alignment and normalization or by peak identification, quantification and calculation of diagnostic ratios within homologue series of polycyclic aromatic compounds (PACs). Finally, principal component analysis (PCA) was applied to the preprocessed chromatograms or diagnostic ratios to study the fate of the oil. The methods were applied to data from an in vitro biodegradation experiment with a North Sea crude oil exposed to three mixtures of bacterial strains: R (alkane degraders and surfactant producers), U (PAC degraders) and M (mixture of R- and U-strains) over a 1-year-period with five sampling times. Assessment of variation in degradability within isomer groups of methylfluorenes (m/z 180), methylphenanthrenes (m/z 192) and methyldibenzothiophenes (m/z 198) was used to evaluate the effects of microbial degradation on the composition of the oil. The two evaluation methods gave comparable results. In the objective pattern matching approach, principal component 1 (PC1) described the general changes in the isomer abundances, whereas M samples were separated from U and R samples along PC2. Furthermore, in the diagnostic ratio approach, a third component (PC3) could be extracted; although minor, it separated R samples from U and M samples. These results demonstrated that the two methods were able to differentiate between the effects due to the different bacterial activities, and that bacterial strain mixtures affected the PAC isomer patterns in different ways in accordance with their different metabolic capabilities.     

Oil-spill identification by gas chromatography-mass spectrometry

Two approaches are proposed for the identification of a contaminant caused by the spilling of oil or oil products in water. A capillary gas chromatography (CGC)-mass spectrometry (MS) method for oil spill identification is applied. The presented approaches describe the use of MS data of 18 selective ions of spilled product and the probable pollutant. The spill identification is accomplished on the bases of a quantitative comparison between the ion chromatograms of the samples taken from the probable pollutant and from the spill itself. The other approach is made by chemometric treatment of complete CGC-MS data.     

Accurate mass filtering of ion chromatograms for metabolite identification using a unit mass resolution liquid chromatography/mass spectrometry system

Acceleration of liquid chromatography/mass spectrometric (LC/MS) analysis for metabolite identification critically relies on effective data processing since the rate of data acquisition is much faster than the rate of data mining. The rapid and accurate identification of metabolite peaks from complex LC/MS data is a key component to speeding up the process. Current approaches routinely use selected ion chromatograms that can suffer severely from matrix effects. This paper describes a new method to automatically extract and filter metabolite-related information from LC/MS data obtained at unit mass resolution in the presence of complex biological matrices. This approach is illustrated by LC/MS analysis of the metabolites of verapamil from a rat microsome incubation spiked with biological matrix (bile). MS data were acquired in profile mode on a unit mass resolution triple-quadrupole instrument, externally calibrated using a unique procedure that corrects for both mass axis and mass spectral peak shape to facilitate metabolite identification with high mass accuracy. Through the double-filtering effects of accurate mass and isotope profile, conventional extracted ion chromatograms corresponding to the parent drug (verapamil at m/z 455), demethylated verapamil (m/z 441), and dealkylated verapamil (m/z 291), that contained substantial false-positive peaks, were simplified into chromatograms that are substantially free from matrix interferences. These filtered chromatograms approach what would have been obtained by using a radioactivity detector to detect radio-labeled metabolites of interest.     

气相色谱-质谱法测定富硒酵母中的硒蛋氨酸

建立了气相色谱-质谱（GC-MS）测定富硒酵母中硒蛋氨酸含量的方法。比较了3种从样品中提取硒蛋氨酸方法的效果。样品在三羟甲基氨基甲烷（Tris）缓冲液中酶解24 h后,以丁醇及三氟乙酸酐为衍生化试剂对硒蛋氨酸进行衍生化,采用选择离子模式对衍生物进行GC-MS测定。硒蛋氨酸的回收率为98.5%~103.7%,相对标准偏差为0.9%~2.4%,检出限为0.5 mg/L（S/N=3）。对实际样品进行测定,得到样品中硒蛋氨酸的含量结果。该法简便快速,准确可靠,灵敏度高。     

多环芳烃指纹用于渤海采油平台原油的鉴别

采用气相色谱/质谱方法,对渤海海上4个不同区块、5个平台的6口油井原油进行了烷基化多环芳烃系列化合物和美国环保署（EPA）优先控制多环芳烃系列化合物的准确定性定量分析。通过多环芳烃原始指纹谱图、多环芳烃组分分布模式和特征比值的比较对上述原油进行鉴别。结果证明不同区块的原油中多环芳烃指纹信息不尽相同,即使在同一平台不同油井中所产的原油其指纹也存在一定差异。为确保原油鉴别的准确性,分析过程中必须在仪器的稳定性和样品前处理方面实施严格的质量控制措施。     

Application of headspace solid phase microextraction and gas chromatography to the screening of volatile compounds from some Brazilian aromatic plants

Summary An HS-SPME method was developed and applied for the isolation of volatile organic compounds from plants native or acclimatized to Brazil. Method optimization was performed using typical analytes from the target samples; fibers coated with 100 μm PDMS and 75 μm Carboxen/PDMS were tested. Using PDMS 100 μm fibers and GC-MS for separation and identification, up to 99.9% of the peak area in the chromatograms from plants were identified. The method was also applied to quantify the major volatile components of one of the samples (Aloysia gratissima) with results comparable to those from the conventional steam distillation method.     

固相萃取-气相色谱-质谱联用检测地沟油中胆固醇

建立了固相萃取-气相色谱-质谱联用(SPE-GC-MS)检测地沟油样品中胆固醇的分析方法。样品用硅胶固相萃取小柱前处理净化,先用20 mL含0.6%乙醚的正己烷溶液淋洗,再用10 mL含15%乙醚的正己烷溶液洗脱,胆固醇萃取率达97%。净化后的样品用配备电子轰击离子源的气相色谱-质谱联用仪进行测定,以保留时间和特征碎片离子定性,在选择离子监测模式下用外标法定量,选择离子为m/z 213、275、301、368、386,目标离子为m/z 386,参考离子为m/z 213和275。不同加标水平下的加标回收率为91.7%～101%,相对标准偏差(RSD)小于6%,检出限为0.01 mg/L。胆固醇质量浓度在0.24~6.0 mg/L范围内有良好的线性关系(相关系数为0.9996)。该法可精确检测油脂中胆固醇的含量,检测结果可作为判断其中是否掺有地沟油的依据之一。