顶空固相微萃取-气相色谱-质谱法分离鉴定金华火腿的挥发性风味物质

采用顶空固相微萃取法(HS-SPME)制备样品,利用气相色谱-质谱法（GC-MS）分离鉴定了金华火腿的挥发性风味物质。实验中筛选了固相微萃取纤维头,优化了固相微萃取的操作条件。用75 μm碳分子筛/聚二甲基硅氧烷（CAR-PDMS）纤维头,于60 ℃下对金华火腿样品顶空吸附40 min,于250　℃下解吸2 min,采用GC-MS对解吸物进行分离鉴定。金华火腿样品的分析结果表明,其挥发性风味物质中含量较高的是醛、酸和酮类化合物,还有一些含硫或杂环化合物。     

顶空固相微萃取-气相色谱-质谱法对柑橘蜜中挥发性组分的定性和半定量分析

采用顶空固相微萃取与气相色谱-质谱法结合进行柑橘蜜中挥发性组分的定性和半定量分析。取柑橘蜜4.00g与水1.00g置于顶空瓶中,用DVB/CAR/PDMS纤维头作萃取头,将顶空瓶密封,在50℃水浴中搅拌10min,萃取50min。取出萃取头,插入气相色谱仪中于255℃解吸3.5min,经TG-5MS毛细管柱分离,质谱测定采用电子轰击离子化方式。用此方法分析了4种柑橘蜜样品,鉴定了72种挥发性组分,主要有醇、烃、酮、醛及酯类化合物,并确定柠檬烯、反式和顺式氧化芳樟醇、β-芳樟醇以及柠檬醛为其特征性成分。按方法对8种样品进行分析,测得各特征性成分的绝对峰面积的相对标准偏差(n=5)在2.9%~20%之间。     

顶空液液萃取-气相色谱-质谱法用于白术挥发性成分的分析

采用高温顶空液相萃取再转移的方法,对中药白术中挥发性成分进行萃取分离富集,采用顶空液液萃取/气相色谱-质谱(HS-LP-LPE/GC-MS)联用法进行测定,并与传统水蒸汽蒸馏法(SD)提取的挥发性成分进行对比。对各种测定条件和影响因素进行了考察,最佳萃取条件为:1.0 mL PEG 400为高温萃取剂,样品用量1.2 g,萃取温度120℃,萃取时间60 min,再将萃取剂用1.0 mL正己烷进行反萃取后进行GC-MS分析;采用HS-LP-LPE/GC-MS鉴定了33个组分,占总组分含量93.18%;SD鉴定了31个组分,占总组分含量97.12%。两种方法共同检测到的组分有29个,均以苍术酮(Atractylone)含量最高。结果表明,两种方法所提取的组分基本相同,可用于白术挥发性成分的测定。     

顶空固相微萃取-气质联用技术分析5种荷花的挥发性成分

采用顶空固相微萃取-气相色谱质谱联用(HS-SPME-GC-MS)技术分析测定了5个品种荷花中的挥发性成分.考察了不同萃取头和萃取温度对荷花挥发性成分萃取的影响,选用65μm PDMS/DVB SPME萃取头和25℃室温萃取荷花中的挥发性成分得到较好的萃取效果.应用峰面积归一化法测定各挥发性成分的相对含量,5个品种共鉴...     

顶空-固相微萃取-气相色谱-质谱法测定烟气中挥发性和半挥发性成分

提出了顶空-固相微萃取-气相色谱-质谱法测定烟气中挥发性和半挥发性成分。结合信息量最大的原则,确定了固相微萃取时萃取纤维头为碳分子筛/聚二甲基硅烷萃取纤维头,萃取温度为70℃,萃取时间为60min。在气相色谱分离中用Agilent DB-1色谱柱为固定相,在质谱分析中采用全扫描模式。结果表明:共鉴定出107种成分,含量最大的成分是烟碱(18.07%),其次是新植二烯(11.46%),主要的3类挥发性和半挥发性成分依次为苯系物、酮类以及杂环类。     

顶空-固相微萃取法与水蒸气蒸馏法提取沙棘挥发油组分的比较研究

优化了顶空-固相微萃取法(HS-SPME)提取沙棘挥发性成分的条件,并采用气相色谱-质谱联用技术(GC-MS)分别对HS-SPME法和水蒸气蒸馏法(SD)的提取物进行分析。结果显示,在萃取温度为70℃,萃取时间为50 min,解吸时间为7 min,平衡时间为20 min条件下,HS-SPME法鉴定出76种组分,占挥发性物质总量的90.19%,主要成分为酯类、醛类和酮类;而SD法提取物共鉴定出56种组分,占挥发性物质总量的91.98%,主要成分为酯类。2种方法共有组分为20种。两种方法提取的沙棘挥发油组分的种类及含量差异较大,HS-SPME法更适合沙棘挥发性组分的快速检测。     

固相微萃取-气相色谱-质谱法分析树苔浸膏的香气成分

采用固相微萃取-气相色谱-质谱法分离和鉴定树苔浸膏的香气成分,用归一化测定其相对含量。为使固相微萃取达到更高的效率,选用100μm PDMS的固相萃取头,萃取温度及时间为65℃和30min。共鉴定出62种化合物,其中33种为酯类化合物,占总香气成分峰面积的58%,为构成树苔浸膏典型苔清香香气特征的重要成分。     

顶空固相微萃取-气相色谱-质谱法快速测定酱油中的挥发性风味成分

建立了一种快速简便地测定酱油中挥发性风味成分的顶空固相微萃取（HS-SPME）-气相色谱-质谱法(GC-MS)。以2-辛醇为内标,考察了萃取头、萃取时间、离子强度、萃取温度对酱油样品中挥发性风味物质萃取的影响。该方法对酱油中常见挥发性风味成分的测定有良好的重复性和回收率,对常见挥发性物质的定量比较准确。优化的HS-SPME条件为：涂层厚度为85 μm聚丙烯酸酯(PA)萃取纤维头,于45 ℃、NaCl质量浓度为250 g/L下对酱油样品顶空吸附40 min,于250 ℃下解吸2 min后进行GC-MS分离鉴定。酱油样品的分析结果表明,其挥发性风味物质中含量较高的是醇、酸、酯和酚类,此外还有一些羰基化合物和杂环化合物。     

气相色谱质谱联用法分析藿香正气口服液中的挥发性成分

采用顶空-固相微萃取GC-MS法提取分析藿香正气口服液的挥发性成分,用自动质谱去卷积鉴别系统对数据进行解析。采用质谱谱库检索结合化合物保留指数定性分析色谱峰,面积归一化法进行定量分析。从藿香正气口服液中共分离出103个组分,定性鉴定了其中的80个,占总挥发性成分的94.03%。藿香正气口服液的主要挥发性成分为倍半萜烃类(51.71%)、萜醇类(24.70%)、单萜烃类(10.59%)和醛类(2.49%)等。     

顶空固相微萃取-气相色谱-质谱联用分析麦冬中有机挥发物

采用顶空固相微萃取-气相色谱-质谱联用(HS-SPME-GC-MS)分析麦冬中挥发性成分,对萃取温度、时间、脱附时间及样品用量等条件进行了优化,方法所得结果与同时蒸馏萃取-气相色谱-质谱联用(SDE-GC-MS)方法比较,相对含量较高的成分基本一致.固相微萃取方法可应用于麦冬中有机挥发性成分的快速分析.     

固相微萃取-气相色谱-质谱联用结合嗅觉检测法鉴定血橙汁中的香气活性化合物

采用固相微萃取-气相色谱-质谱法(SPME-GC-MS)和嗅觉检测法对血橙汁中的挥发性物质进行分析,确定了血橙汁中的香气活性化合物。采用二乙烯基苯/碳分子筛/聚二甲基硅氧烷共聚物(DVB/CAR/PDMS)萃取头在40 ℃条件下顶空萃取40 min。通过气相色谱-质谱联用结合保留指数,在所萃取的血橙汁的挥发性化合物中共鉴定出46种化合物。通过嗅觉检测法检测出34种具有气味的化合物,其中23种被定性。结果表明,对血橙汁香气起主要贡献的化合物是丁酸乙酯、辛醛、γ-松油烯、芳樟醇、4-乙酰基-1-甲基环己烯、癸醛、(-)-香芹酮、乙酸香叶酯、巴伦西亚桔烯以及保留指数分别为1020,1143,1169和小于800的4个未知化合物,这些香气强度较高的化合物的总相对含量为7.22%。     

顶空固相微萃取-气相色谱-质谱联用分析费约果叶片挥发性香气成分条件优化

为了建立适合费约果叶片香气成分检测的顶空固相微萃取-气相色谱-质谱（HS-SPME-GC-MS）分析方法,考察HS-SPME中不同萃取条件对香气萃取效果的影响,采用L₉（3⁴）正交试验,以出峰个数和总峰面积为考察指标确定最佳萃取条件。结果表明,萃取温度对出峰个数和总峰面积的影响较大,而加样量的影响较小。实验得出的较优萃取条件为：加样量0.6 g,萃取温度50 ℃,萃取时间50 min,解吸时间6 min。在此萃取条件下能够得到88种物质,这些物质能更真实地反映费约果叶片香气成分的化学构成,为费约果叶片的开发利用提供有价值的数据。     

GC-MS of volatile components of Schisandra chinensis obtained by supercritical fluid and conventional extraction

In this paper, the volatile compounds of Schisandra chinensis obtained by different extraction techniques including supercritical fluid extraction (SFE), steam distillation (SD), Soxhlet extraction (SE) and ultrasound-assisted extraction (UAE) were investigated for the first time. The sample preparation procedure for GC-MS analysis of the volatile compounds was optimized and then 37, 45, 27 and 37 compounds were identified in the samples obtained by SFE, SD, SE and UAE methods, respectively. As the therapeutic effect of the traditional Chinese medicine is usually based on multifarious essential components or the combination of them instead of only one component, the volatile compounds were compared in groups with the extracts by SE, SD and UAE. This would be more reasonable to evaluate the effects of an alternative technique to extracting multifarious essential components. Among the identified components in the SFE extract, 32 compounds were the same as that by three conventional methods, accounting for 90.5% of the volatile compounds identified. However, as the volatile compounds were classed into groups, it was easy to see that the Schisandra chinensis oil extracted by SFE was made up largely of aromatics and sesquiterpenoids (52.1 and 27.6%, respectively), with less amounts of monoterpenoids and other compounds, distinguishing SFE from the conventional extractions.     

北苍术和茅苍术挥发油成分的比较

采用气相色谱-质谱联用技术分析了北苍术和茅苍术的挥发油成分,分别鉴定出47和50种化学成分,并测定了其相对含量。 采用色谱指纹图谱八强峰法和分区法,根据色谱峰的保留时间把总离子流色谱图分为5个区,比较了北苍术和茅苍术的挥发油成分。 结果表明,在总离子流色谱图Ⅳ和Ⅴ区中,从北苍术和茅苍术中均检出苍术的主要药效成分β-桉叶油醇、苍术酮和苍术素,且相对含量较高。 这表明《中国药典》将北苍术、茅苍术统称为苍术具有一定的科学性。     

Headspace solid-phase microextraction-gas chromatography--mass spectrometry analysis of the volatile compounds of Evodia species fruits

In this study the investigation of the aroma compounds of dried fruits of Evodia rutaecarpa (Juss.) Benth. and E. rutaecarpa (Juss.) Benth. var. officinalis (Dode) Huang (i.e. E. officinalis Dode) (Rutaceae family) was carried out to identify the odorous target components responsible for the characteristic aroma of these valuable natural products. To avoid the traditional and more time-consuming hydrodistillation, the analyses were carried out by means of headspace solid-phase microextraction (HS-SPME) coupled to gas chromatography-mass spectrometry (GC-MS). The SPME headspace volatiles were collected using a divinylbenzene-carboxen-polydimethylsiloxane (DVB-CAR-PDMS) fiber. The extraction conditions were optimized using a response surface experimental design to analyze the effect of three factors: extraction temperature, equilibrium time and extraction time. The best response was obtained when the extraction temperature was around 80 degrees C, equilibrium time near 25 min and extraction time close to 18 min. Analyses were performed by GC-MS with a 5% diphenyl-95% dimethyl polysiloxane (30 m x 0.25 mm I.D., film thickness 0.25 microm) capillary column using He as the carrier gas and a programmed temperature run. The main components of the HS-SPME samples of E. rutaecarpa (concentration >3.0%) were limonene (33.79%), beta-elemene (10.78%), linalool (8.15%), myrcene (5.83%), valencene (4.73%), beta-caryophyllene (4.62%), linalyl acetate (4.13%) and alpha-terpineol (3.99%). As for E. officinalis, the major compounds were myrcene (32.79%), limonene (18.36%), beta-caryophyllene (9.92%), trans-beta-ocimene (6.04%), linalool (5.88%), beta-elemene (7.85%) and valencene (4.62%).     

低温冷冻液液萃取/GC-MS结合保留指数分析香蕉中的挥发性成分

建立了低温冷冻液液萃取(LTF-LLE)/GC-MS结合保留指数对香蕉果肉及果皮中挥发性成分进行分析的方法,采用低温冷冻液液萃取对香蕉样品中的挥发性成分进行提取。分别鉴定出香蕉果肉及果皮中含有39种和32种挥发性成分,其主要成分为酯类物质。果肉果皮所含的挥发性成分在种类及相对含量上有一定差异,果肉中含量较高的组分为丙酸乙酯(11.88%)、乙酸异戊酯(9.45%)、棕榈酸(8.71%)、丁酸异戊酯(7.79%)、乙酸仲戊酯(5.29%),果皮中含量较高的组分为丁酸异戊酯(22.85%)、棕榈酸(15.91%)、硬脂酸(6.86%)、4-烯丙基-2,6-二甲氧基苯酚(6.83%)、亚麻酸(6.34%),果肉果皮所共有的成分有异戊醇、乙酸异丁酯、丁酸、异戊酸、乙酸仲戊酯等19种物质。     

顶空固相微萃取-气相色谱/质谱分析艾叶中的易挥发性成分

采用顶空固相微萃取(HS-SPME)与气相色谱/质谱(GC/MS)联用方法对艾叶中易挥发性成分进行了分析,并通过单因素和正交试验对影响HS-SPME的条件进行优化,确定了HS-SPME的最优参数为:50/30μm DVB/CAR/PDMS固相微萃取头、样品用量0.8g、萃取温度75℃、萃取时间50min、平衡时间30min、解吸4min。经GC/MS分析,共检出196种化合物,利用质谱解析结合保留指数定性确定结构132种,占易挥发性成分总量的94.01%。其中主要易挥发性成分是3-氨基吡唑、桉油精、β-杜松烯、顺-β-松油醇、3-甲基-2-丁烯酸-4-硝基苯基酯、3,6,6-三甲基-1,5-庚二烯-4-醇、6-甲基-3-(1-异丙基)-2-环己烯-1-酮、3-甲基-2-丁烯酸环丁酯。本文结果为艾叶易挥发性成分及其开发利用提供了一定的理论依据。     

Comparative analysis of the volatile components in cut tobacco from different locations with gas chromatography-mass spectrometry (GC-MS) and combined chemometric methods

A combined approach of subwindow factor analysis and orthogonal projection resolution was used to analyze the volatile components of cut tobacco samples from different sources. After extracted with simultaneous distillation and extraction method, the volatile components in cut tobacco from five different locations were detected by GC-MS. Then, the qualitative and quantitative analysis of the volatile components of cut tobacco from Changde area was completed with the help of subwindow factor analysis resolving two-dimensional original data into pure mass spectra and chromatograms. One hundred and two volatile components among 138 separated peaks were identified and quantified, accounting for about 88.90% of the total content. Finally, orthogonal projection method was used to extract the common peaks from different locations. Among the identified components, there were 74 components coexisting in five studied samples although the relative content of each component showed difference to some extent. The results showed a fair consistency in their GC-MS fingerprints. It was the first time to apply orthogonal projection method to compare different cut tobacco samples, and it reduced the burden of qualitative analysis as well as the subjectivity. The obtained results proved the combined approach powerful for the analysis of complex cut tobacco samples. The developed method can be used to compare the sameness and differences of cut tobacco from different sources and for quality control of cigarette production and materials.     

Development of a headspace solid-phase microextraction-gas chromatography-mass spectrometry method for the identification of odour-causing volatile compounds in packaging materials

A method for the identification of volatile organic compounds in packaging materials is presented in this study. These compounds are formed by thermooxidative degradation during the extrusion coating process in the manufacture of packaging. Headspace solid-phase microextraction (HS-SPME) was used as sample preparation technique prior to the determination of the volatile organic compounds by gas chromatography-mass spectrometry (GC-MS). The effects of extraction variables, such as the type of fibre, the incubation temperature, the pre-incubation time, the size of the vial and the extraction time on the amounts of the extracted volatile compounds were studied. The optimal conditions were found to be: carboxen-polydimethylsiloxane 75 microm fibre, 5 min of pre-incubation time, 100 degrees C of incubation temperature, 20-ml vial, and 15 min of extraction time. The chromatograms obtained by HS-SPME and static headspace extraction were compared in order to show that the HS-SPME method surpasses the static headspace method in terms of sensitivity. Twenty-five compounds were identified including carbonyl compounds (such as 3-methyl-butanal, 3-heptanone or octanal), carboxylic acids (such as pentanoic acid or hexanoic acid) known as odour causing compounds and hydrocarbons (such as decane, undecane or dodecane). Finally, the method was applied to different packaging samples (one odour-unacceptable, two odour-acceptable, and three odourless samples) and to the raw materials in order to find out the odour-responsible volatile organic compounds and their source.