用色谱-质谱方法鉴定薄荷油中的异构体

用毛细管气相色谱－质谱联用、程序升温方法分析了一种薄荷油的化学成分、共分离出20个组分,其中含4组异构体,它们分别是：m/z=136的5个成分α－蒎烯、β－蒎烯、β－月桂烯、α－菲兰烯和柠檬烯;m/z＝154的2个成分（cis)－薄荷酮和（2R－cis)－薄荷酮;m/z＝156的2个成分（1α.2α.5β）－薄荷醇和（1α.2β.5β）－薄荷醇;以及m/z＝204的8个成分（1α,3aα,3bβ,6aβ,6bα）－十氢－3a－甲基－6－亚甲基－1－异丙基－环丁烷并[1,2:3,4]二环戊烯、[1R-(1R,4E,9S)－4,11,11－三甲基－8亚甲基－双环（7．2．0）十一碳4－烯、[1R-(1aα,7α,7aα,7bα]-1a,2,3,5,6,7,7a,7b-八氢－1,1,7,7a-四甲基－1氢－环丙烷[α]并萘、[1aR-(1aα,4aα,7α,7aβ,7bα）－十氢,1,1,7－三甲基4－亚甲基－1－氢－环丙烷[e]并奥、（1S-exo）－2－甲基－3－亚甲基－2－（4－甲基－3－戊烯基）－二环（2．2．1）庚烷、（3aα,3bα,4α,7β,7aR）－八氢－7甲基－3亚甲基－4－异丙基－1氢－不戊烷[ 1,3]并环丙烷[1,2]并苯、1－乙烯基－1－甲基－2－异丙烯基－4（1－甲基亚乙基）环己烷和绿叶烯。     

超临界CO_2萃取连翘挥发油的正交试验和GC-MS分析

采用正交试验法对超临界CO2萃取连翘挥发油的条件进行了研究；结果显示最佳萃取条件为萃取压力30MPa，萃取温度35℃，解析压力6．7MPa，解析温度50℃，粉碎度0．55mm；按对结果的影响大小依次排列为萃取温度，粉碎度，萃取压力，解析压力，解析温度；用气相色谱－质谱联用技术测定了最佳萃取条件所得连翘挥发油的化学成分，从中鉴定出21种成分，并测定了其相对含量，主要成分为α－蒎烯、β－蒎烯、萜品醇－4、α－萜品醇、苯甲醇等。     

三叉耳蕨挥发油HS-SPME-GC-MS分析

采用顶空固相微萃取和气质联用技术(HS-SPME-GC-MS),从根中鉴定了31个成分,从叶中鉴定了22个成分。其中有16个共有成分。三叉耳蕨根的挥发油的主要成分是十六醛(11.24%)、正十六酸(9.07%)、十六烷(6.31%)和2,6,10,14-四甲基-十五烷(6.05%)。叶的挥发油的主要成分是邻苯二甲酸二乙酯(9.85%)、(E)-4-(2,6,6-三甲基-2-环己-1-烯基)-3-丁烯-2-酮(9.32%)、6,10,14-三甲基-2-十五烷酮(8.25%)和(E)-4-(2,6,6-三甲基-1-环己-1-烯基)-3-丁烯-2-酮(8.05%)。     

超临界CO_2萃取-分子蒸馏对大蒜化学成分的提取与分离

采用超临界CO2流体萃取技术和分子蒸馏对大蒜化学成分进行萃取与分离，用气相色谱－质谱联用技术测定其化学成分；从超临界CO2萃取物中鉴定出16种成分，经分子蒸馏后，得到4种主要成分：二烯丙基二硫、3－乙烯基－1，2－二硫代环己－5－烯、2－乙烯基－1，3－二硫代环己－5－烯及二烯丙基三硫。     

新型螺环树状化合物的合成

利用环己二酮单腙芳构化反应, 得到9H, 9H, 11H, 11H, 12H, 12H-六氢化苯并[9,10]-(1H, 1H, 3H, 3H, 4H, 4H, 5H, 5H, 7H, 7H, 8H, 8H-十二氢)菲-2, 6, 10-三酮腙, 然后与季戊四醇反应, 得到9H, 9H, 11H, 11H, 12H, 12H-六氢化苯并[9,10]-(1H, 1H, 3H, 3H, 4H, 4H, 5H,5H, 7H, 7H, 8H, 8H-十二氢)菲-2,6,10-三酮缩三(2,2-二羟甲基-1,3-丙二醇), 再与9-[4-(2,6-二硫杂环己基)苯基]-3-[4-(二甲酯基甲基)苯基]-2,4,8,10-四氧杂螺[5.5]十一烷反应, 制成标题化合物. 中间体和标题化合物经过IR, 1H NMR, MS和元素分析表征.     

可交联LB膜的研究(Ⅱ)——5-[2-(4-己基偶氮苯)苯氧乙基-L谷氨酸酯和5-(6-己二醇肉桂酸酯)基-L-谷氨酸酯共聚物的合成、LB膜性质及光交联反应的研究

将聚｛5－[2－（4－己撑）苯基偶氮乙基]｝（P2AB6－LG）体系中部分引入带肉桂酸酯基的侧链,合成了5－[2－（4－己基偶氮苯）苯氧乙基－L－谷氨酸酯和5－（6－己二醇肉桂酸酯）基－L－谷氨酸酯共聚物（PG2AB6-co-Cin）,研究了它的LB膜行为,并通过光交联来改进膜的耐溶剂稳定性。     

2－甲基－3－芳基－7－（5，5－二甲基－3－酮－1－环己烯－1－基）甲酸酯－4（3H）－喹唑啉酮的合成

以2－氨基对苯二甲酸（1）为起始原料，与乙酸酐缩合生成7－羧基乙酰苯邻 甲内酰胺（2）；2和芳胺缩合产生7－羧基－2－甲基－3－芳基－4（3H）－喹唑啉 酮（3）；3和N，N－双环己基碳双亚胺（DCC）加成得到中间体4，4在4－二甲氨基 吡啶（DMAP）催化下和5，5－二甲基－1，3－环己二酮（5）缩合得到目标产物2－ 甲基－3－芳基－7－（5，5－二甲基－3－酮－1－环己烯－1－基）甲酸酯－4（ 3H）－喹唑啉酮（6）。所得15个新型化合物的结构均经^1H NMR、元素分析确证， 部分化合物经IC／MSD确证。     

2－乙基己基膦酸单（2－乙基己基）酯从盐酸溶液中萃取Ga（Ⅲ）的机理

２－乙基己基膦酸单（２－乙基己基）酯从盐酸溶液中萃取Ｇａ（Ⅲ）的机理赵经贵，邢美君，刘宏（黑龙江大学化学系哈尔滨１５００８０）关键词溶剂萃取，镓，乙基己基膦酸单（乙基己基）酯２－乙基己基膦酸单（２－乙基己基）酯（Ｐ５０７，ＥＨＰ）在稀有元素、有色金属...     

在线亲和固相萃取-高效液相色谱-二极管阵列检测-四极杆飞行时间质谱快速筛选中药中α-葡萄糖苷酶结合成分

中药活性成分的快速分离分析一直是中药研究的重点和热点问题。该文建立了在线亲和固相萃取-高效液相色谱-二极管阵列检测-四极杆飞行时间质谱技术快速筛选中药中与α-葡萄糖苷酶有结合作用的活性成分的方法。四通阀和六通进样阀组成接口界面,收集亲和固相萃取柱中与α-葡萄糖苷酶有结合作用的活性成分,接着进入液相色谱系统进行分析鉴定。阳性对照品((+)-儿茶素)和阴性对照品(水杨酸)混合物筛选确定了方法的特异性和准确性。接着,以玉竹为研究对象,筛选出9种主要的α-葡萄糖苷酶抑制活性化合物,包括5种苯乙基肉桂酰胺类化合物,4种双氢高异黄酮类化合物。结果表明建立的方法简便、快速、特异性强,可用于任何复杂体系中α-葡萄糖苷酶结合活性成分的筛选。     

环状胺磺酰基取代的苯乙胺和苯氧烷胺衍生物的合成及生物活性测试

7-氨基乙基-(3,4-二氢-2H-苯并[1,2]噻嗪-1,1-二氧代)盐酸盐和取代苯氧丙-2-酮经还原胺化, 合成了10个新的环状胺磺酰基取代的苯乙胺和苯氧烷胺类化合物. 化合物经1H NMR, HRMS, IR确证其结构. 生物活性测试结果表明, 所有化合物对α1-肾上腺素受体均具有一定的拮抗作用.     

Determination of acetic acid in aqueous samples, by water-phase derivatisation, solid-phase microextraction and gas chromatography

The direct derivatisation of acetic acid with n-hexyl chloroformate and with benzyl bromide in water was evaluated. With n-hexyl chloroformate, acetic acid did not give the n-hexyl acetate derivative, but the reaction of acetic acid with benzyl bromide in aqueous solution resulted in the formation of benzyl acetate. The derivatisation of acetic acid with benzyl bromide and the headspace solid-phase microextraction (SPME) of benzyl acetate were optimised. Under optimum conditions, the limit of detection for acetic acid was 260 nM, and the relative standard deviation of the overall procedure at 1.10(-4) M acetic acid was 15.6% (n = 10). A linear response was obtained in the 1 x 10(-4) to 5 x 10(-6) M concentration range (R2 = 0.993, n = 6). Although Carbowax-divinylbenzene (CW-DVB)-coated fibres exhibited a higher extraction capacity for benzyl acetate, polyacrylate (PA) was selected, because its mechanical stability was better than that of CW-DVB fibres. Moreover, the relative standard deviation of the SPME was better with PA (1.5%, n = 10 at 1 x 10(-5) M) than with CW-DVB-coated fibres (8.0%, n = 10 at 1 x 10(-5) M). Thus, a new analytical method for the quantitative determination of micromolar concentrations of acetic acid in the aqueous phase was developed. This method is based on water-phase derivatisation with benzyl bromide, headspace SPME with PA fibres and GC-FID. It was observed experimentally that benzyl alcohol formed by hydrolysis of the reagent affected the fibre-gas phase partitioning of benzyl acetate.     

Solid-phase microextraction (SPME) calibration using inkjet microdrop printing for direct loading of known analyte mass on to SPME fibers

Solid-phase microextraction (SPME) is a widely used sampling technique that has been proved to enable efficient extraction of a broad range of analytes. Generally, SPME achieves non-exhaustive extraction, and therefore the analyte mass transfer distribution in the sampled multiphase system should be considered while developing a calibration method. Here, a new method, aimed at quantifying the extracted analytes without the need to consider their mass distribution, is proposed. This method relies on the generation of mass response curves by loading a known analyte mass onto the absorbent phase of a SPME fiber, and then conducting analysis by the preferred technique. Precise and accurate deposition of analyte over the restricted dimension of a fiber is demonstrated for the first time by utilizing a drop-on-demand microdrop printer. This system enables direct, non-contact deposition of micron-sized drops containing negligible solvent volumes (<1 nL), on the center of the extraction phase of the fiber which enables immediate analysis. Printed fiber response curves were determined herein, with three model compounds of different volatility—2,4-dinitrotoluene (2,4-DNT), diphenylamine (DPA), and 1,3 diethyl-1,3-diphenylurea (ethyl centralite, EC), using two analytical techniques, gas chromatography–mass spectrometry (GC–MS) and ion mobility spectrometry (IMS). Quantification of the absolute amounts extracted by headspace SPME yielded comparable results between the two methods of analysis with only less than 10% variation for 2,4-DNT and EC and less than 30% for DPA. In comparison, quantification by the traditional liquid injection/spike response curves determined by each technique led to mass estimates that were significantly greater by hundreds of percent.     

High-efficiency headspace sampling of volatile organic compounds in explosives using capillary microextraction of volatiles (CMV) coupled to gas chromatography–mass spectrometry (GC-MS)

A novel geometry configuration based on sorbent-coated glass microfibers packed within a glass capillary is used to sample volatile organic compounds, dynamically, in the headspace of an open system or in a partially open system to achieve quantitative extraction of the available volatiles of explosives with negligible breakthrough. Air is sampled through the newly developed sorbent-packed 2 cm long, 2 mm diameter capillary microextraction of volatiles (CMV) and subsequently introduced into a commercially available thermal desorption probe fitted directly into a GC injection port. A sorbent coating surface area of ～5?×?10^?2 m² or 5,000 times greater than that of a single solid-phase microextraction (SPME) fiber allows for fast (30 s), flow-through sampling of relatively large volumes using sampling flow rates of ～1.5 L/min. A direct comparison of the new CMV extraction to a static (equilibrium) SPME extraction of the same headspace sample yields a 30 times improvement in sensitivity for the CMV when sampling nitroglycerine (NG), 2,4-dinitrotoluene (2,4-DNT), and diphenylamine (DPA) in a mixture containing a total mass of 500 ng of each analyte, when spiked into a liter-volume container. Calibration curves were established for all compounds studied, and the recovery was determined to be ～1 % or better after only 1 min of sampling time. Quantitative analysis is also possible using this extraction technique when the sampling temperature, flow rate, and time are kept constant between calibration curves and the sample.     

Determination of chlorophenols in soil samples by microwave-assisted extraction coupled to headspace solid-phase microextraction and gas chromatography-electron-capture detection

Microwave-assisted extraction coupled to headspace solid-phase microextraction was studied and applied for one-step in-situ sample preparation prior to analysis of chlorophenols (CPs) in soil samples. The CPs in soil sample were extracted into the aqueous solution and then directly onto the solid-phase microextraction (SPME) fiber in headspace under the aid of microwave irradiation. After being desorbed from SPME fiber in the GC injection port, CPs were analyzed with a GC-electron-capture detection system. Parameters affecting the extraction efficiency such as the extraction solutions, the pH in the slurry, the humic acid content in the soil, the power and the irradiation time of microwave as well as the desorption parameters were investigated. Experimental results indicated that the extraction of a 1.0 g soil sample with a 6-ml aqueous solution (pH 2) and a polyacrylate fiber under the medium-power irradiation (132 W) for 9 min achieved the best extraction efficiency of about 90% recovery and less than 10% RSD. Desorption was optimal at 300 degrees C for 3 min. Detection limits were obtained at around 0.1-2.0 microg/kg levels. The proposed method provided a simple, fast, and organic solvent-free procedure to analyze CPs from soil sample matrix.     

Solid-phase Microextraction of Volatile Polar Compounds in Water

A method was developed for the analysis of volatile polar compounds in a water matrix using open cap vials Solid Phase Micro-Extraction (SPME) and Capillary Gas Chromatography (CGC). Both SPME techniques – direct sampling and headspace – were tested. Optimization of experimental conditions – exposure time, desorption time, with headspace SPME in addition the influence of the temperature and ionic strength of the sample solution on compound sorption, and finally GC response – were investigated. The analytes were extracted by directly immersing the 85 μm polyacrylate fiber in the aqueous sample or in the headspace. The linear range of the preconcentration process and the precision were examined. The amount of polar analytes sorbed on the fiber was determined and was found to be concentration dependent; it amounted to 0.014–0.64% in the concentration range of 0.00425–425 ppm studied in aqueous solution for direct sampling SPME and to 0.011–2.76% for solutions of concentration 0.0425–255 ppm for headspace SPME. The limits of determination were ascertained. Headspace SPME was applied to the analysis of real-life samples.     

Bonded ionic liquid polymeric material for solid-phase microextraction GC analysis

Four new ionic liquids (IL) were prepared and bonded onto 5-μm silica particles for use as adsorbent in solid-phase microextraction (SPME). Two ILs contained styrene units that allowed for polymerization and higher carbon content of the bonded silica particles. Two polymeric ILs differing by their anion were used to prepare two SPME fibers that were used in both headspace and immersion extractions and compared to commercial fibers. In both sets of experiments, ethyl acetate was used as an internal standard to take into account adsorbent volume differences between the fibers. The polymeric IL fibers are very efficient in headspace SPME for short-chain alcohols. Immersion SPME also can be used with the IL fibers for short-chain alcohols as well as for polar and basic amines that can be extracted at pH 11 without damage to the IL-bonded silica particles. The sensitivities of the two IL fibers differing by the anion were similar. Their efficacy compares favorably to that of commercial fibers for polar analytes. The mechanical strength and durability of the polymeric IL fibers were excellent.      

固相微萃取-气相色谱/质谱分析栀子花的头香成分

 分别用固相微萃取和动态顶空法分离栀子鲜花的头香成分,用GC/MS技术分析鉴定,并用GC/MS总离子流色谱峰的峰面积进行归一化定量。在固相微萃取方法中,共鉴定了54种化学成分,占总峰面积的99.98%。主要成分(质量分数)依次为金合欢烯（64.86%）、罗勒烯（29.33%）、芳樟醇（2.74%）、惕各酸顺式叶醇酯（1.34%）和苯甲酸甲酯（0.25%）等。经与动态顶空法的分析结果比较发现,固相微萃取法不仅操作简便,而且具有较高的采样灵敏度,获得的化学成分的信息量多于动态顶空法。     

Determination of the volatile constituents of ChineseCoriandrum sativum L. by gas chromatography—Mass spectrometry with solid-phase microextraction

Summary Fifteen main volatile compounds in ChineseCoriandrum sativum L. were separated and identified by gas chromatography—mass spectrometry (GC-MS) combined with solid-phase microextraction (SPME). Fresh ChineseCoriandrum sativum L. was ground and its volatile compounds were extracted by SPME with a 100 μm polydimethylsiloxane fiber. The fibers were desorbed in a GC injection liner at 250°C for 3 min. More than 15 peaks were separated by headspace SPME-GC-MS analysis. The main compounds in headspace ofCoriandrum sativum L. identified by mass spectrometry included decanal, 2-decenal, 1-decanol,trans-2-decen-1-ol,trans-2-decen-1-al,trans-2-tridecenal etc, which were verified by reference compounds. Their relative contents were calculated on basis of peak areas. SPME extraction conditions and capillary chromatography column used to separate the volatile compounds were investigated.     

Determination of amphetamine and methamphetamine in serum via headspace derivatization solid-phase microextraction-gas chromatography-mass spectrometry

This study evaluates solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS) to determine trace levels of amphetamine and methamphetamine in serum. Headspace post-derivatization in a laboratory-made design with heptafluorobutyric anhydride vapor following SPME was compared with that without derivatization SPME. The SPME experimental procedures to extract amphetamine and methamphetamine in serum were optimized with a relatively non-polar poly(dimethylsiloxane) coated fiber at pH 9.5, extraction time for 40 min and desorption at 260 degrees C for 2 min. Experimental results indicate that the concentration of the serum matrix diluted to a quarter of original (1:3) ratio by using one volume of buffer solution of boric acid mixed with sodium hydroxide and two volumes of water improves the extraction efficiency. Headspace derivatization following SPME was performed by using 6 microl 20% (v/v) heptafluorobutyric anhydride ethyl acetate solution at an oil bath temperature of 270 degrees C for 10 s. The precision was below 7% for analysis for without derivatization and below 17% for headspace derivatization. Detection limits were obtained at the ng/l level, one order better obtained in headspace derivatization than those achieved without derivatization. The feasibility of applying the methods to determine amphetamine and methamphetamine in real samples was examined by analyzing serum samples from methamphetamine abused suspects. Concentrations of the amphetamine and methamphetamine ranged from 6.0 microg/l (amphetamine) to 77 microg/l (methamphetamine) in serum.     

Classification of bacteria by simultaneous methylation–solid phase microextraction and gas chromatography/mass spectrometry analysis of fatty acid methyl esters

Direct methylation and solid-phase microextraction (SPME) were used as a sample preparation technique for classification of bacteria based on fatty acid methyl ester (FAME) profiles. Methanolic tetramethylammonium hydroxide was applied as a dual-function reagent to saponify and derivatize whole-cell bacterial fatty acids into FAMEs in one step, and SPME was used to extract the bacterial FAMEs from the headspace. Compared with traditional alkaline saponification and sample preparation using liquid–liquid extraction, the method presented in this work avoids using comparatively large amounts of inorganic and organic solvents and greatly decreases the sample preparation time as well. Characteristic gas chromatography/mass spectrometry (GC/MS) of FAME profiles was achieved for six bacterial species. The difference between Gram-positive and Gram-negative bacteria was clearly visualized with the application of principal component analysis of the GC/MS data of bacterial FAMEs. A cross-validation study using ten bootstrap Latin partitions and the fuzzy rule building expert system demonstrated 87 ± 3% correct classification efficiency.