气相色谱-质谱法分析甲基苯基硅氧烷混合环体

用GC-MS对甲基苯基硅氧烷混合环体(Me2n-iPhiSinOn)样品进行分析,鉴定出了25个组分,其中包括甲基硅氧烷环体、含1个苯基的甲基硅氧烷环体以及含2个苯基的甲基硅氧烷环体。四甲基二苯基环三硅氧烷环体(Me4Ph2Si3O3)的2个异构体、六甲基二苯基环四硅氧烷环体(Me6Ph2Si4O4)的4个异构体都得到有效分离和归属,并且发现其各异构体的含量比例符合随机环化的理论值。同时对该混合环体的苯基/甲基比例以及苯基含量进行了计算,并得到氢谱的验证。     

Enantioselective analysis of mirtazapine and its two major metabolites in human plasma by liquid chromatography-mass spectrometry after three-phase liquid-phase microextraction

A three-phase liquid-phase microextraction (LPME) method using porous polypropylene hollow fibre membrane with a sealed end was developed for the extraction of mirtazapine (MRT) and its two major metabolites, 8-hydroxymirtazapine (8-OHM) and demethylmirtazapine (DMR), from human plasma. The analytes were extracted from 1.0 mL of plasma, previously diluted and alkalinized with 3.0 mL 0.5 mol L⁻¹ pH 8 phosphate buffer solution and supplemented with 15% sodium chloride (NaCl), using n-hexyl ether as organic solvent and 0.01 moL L⁻¹ acetic acid solution as the acceptor phase. Haloperidol was used as internal standard. The chromatographic analyses were carried out on a chiral column, using acetonitrile-methanol-ethanol (98:1:1, v/v/v) plus 0.2% diethylamine as mobile phase, at a flow rate of 1.0 mL min⁻¹. Multi-reaction monitoring (MRM) detection was performed by mass spectrometry (MS-MS) using a triple-stage quadrupole and electrospray ionization interface operating in the positive ion mode. The mean recoveries were in 18.3-45.5% range with linear responses over the 1.25-125 ng mL⁻¹ concentration range for all enantiomers evaluated. The quantification limit (LOQ) was 1.25 ng mL⁻¹. Within-day and between-day assay precision and accuracy (2.5, 50 and 100 ng mL⁻¹) showed relative standard deviation and the relative error lower than 11.9% for all enantiomers evaluated. Finally, the method was successfully used for the determination of mirtazapine and its metabolite enantiomers in plasma samples obtained after single drug administration of mirtazapine to a healthy volunteer.     

Vinegar classification based on feature extraction and selection from headspace solid-phase microextraction/gas chromatography volatile analyses: a feasibility study

Headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography (GC) and multivariate data analysis were applied to classify different vinegar types (white and red, balsamic, sherry and cider vinegars) on the basis of their volatile composition. The collected chromatographic signals were analysed using the stepwise linear discriminant analysis (SLDA) method, thus simultaneously performing feature selection and classification. Several options, more or less restrictive according to the final number of considered categories, were explored in order to identify the one that afforded highest discrimination ability. The simplicity and effectiveness of the classification methodology proposed in the present study (all the samples were correctly classified and predicted by cross-validation) are promising and encourage the feasibility of using a similar strategy to evaluate the quality and origin of vinegar samples in a reliable, fast, reproducible and cost-efficient way in routine applications. The high quality results obtained were even more remarkable considering the reduced number of discriminant variables finally selected by the stepwise procedure. The use of only 14 peaks enabled differentiation between cider, balsamic, sherry and wine vinegars, whereas only 3 variables were selected to discriminate between red (RW) and white wine (WW) vinegars. The subsequent identification by gas chromatography-mass spectrometry (GC-MS) of the volatile compounds associated with the discriminant peaks selected in the classification process served to interpret their chemical significance.     

Development of a method for analysis of Iranian damask rose oil: combination of gas chromatography-mass spectrometry with Chemometric techniques

Gas chromatography-mass spectrometry (GC-MS) combined with Chemometric resolution techniques were proposed as a method for the analysis of volatile components of Iranian damask rose oil. The essential oil of damask rose was extracted using hydrodistillation method and analyzed with GC-MS in optimized conditions. A total of 70 components were identified using similarity searches between mass spectra and MS database. This number was extended to 95 components with concentrations higher than 0.01% accounting for 94.75% of the total relative content using Chemometric techniques. For the first time in this work, an approach based upon subspace comparison is used for determination of the chemical rank of GC-MS data. The peak clusters were resolved using heuristic evolving latent projection (HELP) and multivariate curve resolution-alternating least square (MCR-ALS) by applying proper constraints, and the combination of both methods for some cases. It is concluded that a thorough analysis of the complex mixtures such as Iranian damask rose requires sophisticated GC-MS coupled with the Chemometric techniques.     

羟基化多壁碳纳米管分散固相萃取/气相色谱-质谱测定茶叶中有机氯农药和拟除虫菊酯类农药残留

建立了羟基化多壁碳纳米管作为吸附剂的改进Qu ECh ERS方法,联合气相色谱-质谱联用法快速检测茶叶中24种有机氯农药和拟除虫菊酯类农药残留量。茶叶样品中的农药残留经正己烷-丙酮(2∶1)提取,以羟基化多壁碳纳米管(MWCNTs-OH)和N-丙基乙二胺键合固相吸附剂(PSA)吸附提取液中的杂质,提取液离心后过滤,经气相色谱-电子轰击源质谱法测定,外标法定量。研究了不同吸附剂种类、提取溶剂、吸附剂用量对提取净化效率的影响。在优化实验条件下,目标物质在0.01~0.50 mg/kg范围内线性关系良好。空白茶叶样品在低、中、高3个加标水平下的平均回收率为78.6%~109.6%,相对标准偏差(n=5)为2.1%~9.3%;方法的定量下限为0.002~0.050 mg/kg。该方法操作简单、快速、灵敏、成本低,能满足茶叶中常见有机氯和拟除虫菊酯类农药残留的检测要求,特别适合在小型实验室和企业中推广使用。     

超声雾化顶空单滴微萃取-气相色谱-质谱法测定果汁中的芳香成分

本文建立了超声雾化顶空单滴微萃取-气相色谱-质谱(GC-MS)联用测定果汁中的β-月桂烯、D-柠檬烯和异戊酸叶醇酯含量的方法。考察了萃取溶剂、萃取时间、富集时间等影响芳香成分萃取效率的因素。在最优的实验条件下,对三种果汁中的芳香成分进行了分析,测得三种果汁中β-月桂烯、D-柠檬烯和异戊酸叶醇酯的含量分别为12.0~488.6μg·mL~(-1)、542.8~1.237×10~4μg·mL~(-1)和0.0470~498.5μg·mL~(-1)。方法的回收率范围为78.5%~110.4%,相对标准偏差为1.3%~4.4%。     

同位素内标稀释气相色谱-质谱联用法测定果蔬中的滴滴涕含量

建立了果蔬中滴滴涕(DDT)的气相色谱-质谱联用的测定方法。样品用乙腈提取,采用Florisil固相萃取柱净化,以HP-5ms色谱柱(30m×0.25mm×0.25μm)分离,在选择离子模式(SIM)下,以自行研制的p,p′-DDT-D8为内标进行定性定量分析。线性范围为1~1 000μg/L,检出限为0.02~0.05μg/kg,加标回收率为88.67%~101.73%,相对标准偏差(RSD)为1.6%~3.8%(n=5)。该方法为果蔬中滴滴涕的检测提供了一种可靠实用的方法。     

Determination of 1,3-dichloro-2-propanol and 3-chloro-1,2-propandiol in soy sauce by headspace derivatization solid-phase microextraction combined with gas chromatography-mass spectrometry

This study proposes a method for identifying 1,3-dichloro-2-propanol and 3-chloro-1,2-propandiol in aqueous matrices by using headspace on-fiber derivatization following solid-phase microextraction combined with gas chromatography-mass spectrometry. The optimized SPME experimental procedures for extracting 1,3-dichloro-2-propanol and 3-chloro-1,2-propandiol in aqueous solutions involved a 85 μm polyacrylate-coated fiber at pH 6, a sodium chloride concentration of 0.36 g mL⁻¹, extraction at 50 °C for 15 min and desorption of analytes at 260 °C for 3 min. Headspace derivatization was conducted in a laboratory-made design with N-methyl-N-(trimethylsilyl)-trifluoroacetamide vapor following solid-phase microextraction by using 3 μL N-methyl-N-(trimethylsilyl)-trifluoroacetamide at an oil bath temperature of 230 °C for 40 s. This method had good repeatability (R.S.D.s ≤ 19%, n = 8) and good linearity (r² ≥ 0.9972) for ultrapure water and soy sauce samples that were spiked with two analytes. Detection limits were obtained at the ng mL⁻¹. The result demonstrated that headspace on-fiber derivatization following solid-phase microextraction was a simple, fast and accurate technique for identifying trace 1,3-dichloro-2-propanol and 3-chloro-1,2-propandiol in soy sauce.     

Focused microwave-assisted micellar extraction combined with solid-phase microextraction--gas chromatography/mass spectrometry to determine chlorophenols in wood samples

This work describes the utilization of the focused microwave-assisted micellar extraction in combination with the solid-phase microextraction (SPME) to determine chlorophenols in wood samples. The influence of the nature of the surfactant in the extraction process, the optimization of the variables of the focused-microwave system, and the effect of the ageing time of the samples in the extraction efficiency of the method, have been assessed in this study. The overall method using the non-ionic surfactant POLE as extracting medium allows us to determine chlorophenols in wood samples achieving an average extraction efficiency of 104.1%, limits of detection ranging from 2 to 120 ng g⁻¹, and intermediate precision values ranging between 3.5 and 13.2%. The proposed method is also characterized by short analysis times (around 5 min for the microwaves extraction step) and by avoiding the use of organic solvents.     

Determination of NSAIDs in river sediment samples

Consumption of non-steroidal anti-inflammatory drugs (NSAIDs) is increasing and with it the danger of environmental pollution by pharmaceutical residues. Publications regarding NSAIDs in the environment not only show that they are toxic to many animal species, but also highlight the need for robust analytical methods for monitoring the level of such contaminants in environmental matrices. In our study we selected the four most widely used NSAIDs in Slovenia and Central Europe, ibuprofen, naproxen, ketoprofen and diclofenac, and studied their extraction from sediment samples. We examined several extraction techniques (ultrasonic extraction, Soxhlet extraction, pressurized liquid extraction, supercritical fluid extraction and microwave-assisted extraction) using a spiked sediment sample and determined optimal extraction conditions. After extraction we applied a clean-up step, derivatisation of the analytes and gas chromatography with mass spectrometric detection (GC-MSD) and selected the most appropriate extraction procedure. The optimised analytical method chosen for analysis of sediment samples consisted of microwave-assisted extraction, clean-up of the extract with SPE, derivatisation with MSTFA and determination with GC-MSD. The optimised procedure was applied to the analysis of two environmental river samples taken from the vicinity of Novo mesto, the biggest town in the south eastern part of Slovenia with 62,000 inhabitants, a hospital and a pharmaceutical factory in its vicinity. While analysis of the sample taken upstream of the town showed no detectable amounts of NSAIDs, analysis of samples taken downstream showed quantifiable levels of two of the studied NSAIDs (naproxen and ketoprofen). Besides these two NSAIDs, river water samples sampled at the same time and location on the River Krka also showed the presence of diclofenac. Sampling on the River Krka and other Slovene rivers will in the future be repeated at different sampling points in order to track down the main sources of pollution.