顶空固相微萃取-气相色谱/质谱法分析鉴定畜禽粪便中的挥发性有机化合物

采用顶空固相微萃取(HS-SPME)-气相色谱/质谱法(GC/MS)测定了牛粪、猪粪以及鸡粪中的挥发性有机化合物(VOCs)。在优化HS-SPME条件的基础上,通过GC/MS分析,从牛粪中分离鉴定出44种VOCs,从猪粪中分离鉴定出40种VOCs,从鸡粪中分离鉴定出41种VOCs。HS-SPME-GC/MS具有简单、快速、无需有机溶剂等特点,适合于畜禽粪便中挥发性有机化合物的分析与鉴定。同时,该研究揭示了畜禽养殖场臭味物质的来源,为治理其环境污染提供了科学依据。     

同时蒸馏萃取-气相色谱/质谱法分析烟草中挥发性成分

本文对云南12种烟叶中挥发性成分进行提取分离,气相色谱/质谱测定.系统地对同时蒸馏萃取条件和色谱分离条件进行优化,结合谱库检索和匹配度定性方法鉴定149种化合物,并对其中的35种重要香气成分进行了定量分析,包括酮类7种、醇类6种、烯烃类4种、烟碱类3种、烷烃类2种、醛类2种、酯类2种、呋喃类2种等.该方法具有81.09％～97.45％的高回收率.结果表明,同时蒸馏萃取集采样、萃取、浓缩于一体,操作简单快速,适合于烟草中挥发性成分的提取,结合气相色谱/质谱联用仪(GC-MS)分离测定,能准确对挥发性成分进行定性和定量分析.     

HS/GC-MS法分析胶基型嚼烟中的挥发性香味物质

运用静态顶空气相色谱-质谱法对22个胶基型嚼烟样品中的挥发性香味物质进行分析,并采用质谱数据库对挥发性香味物质进行定性分析。对顶空分析条件以及GC-MS条件进行了优化,提高了挥发性香味物质的测定灵敏度;对峰面积归一化结果大于0.1%的化合物进行定性分析,通过匹配度限定(≥85%)确认了65种挥发性香味物质;最后对样品进行了相似性分析和聚类分析。结果表明:22个胶基型嚼烟样品中的香味物质主要有酯类(18个化合物)、烯烃类(16个化合物)、醇类(9个化合物)、醛类(8个化合物)、酮类(7个化合物)、酚类(1个化合物)、酸类(1个化合物)、呋喃类(2个化合物)、烷烃类(2个化合物)、硫醚类(1个化合物),共10类化合物;不同胶基型嚼烟样品的品牌识别度高,同时口味对品牌识别有一定的影响作用。方法为进一步开发胶基型嚼烟制品提供了理论基础和技术支持。     

鲤鱼体中鱼腥味物质的提取和鉴定

采用同时蒸馏萃取法提取鲤鱼鱼体中的挥发和半挥发性有机物,用GC/MS从提取物中分析鉴定出鱼腥味和疑是鱼腥味物质16种.包括醛、烯醛、酮和呋喃4类化合物.其中己醛、庚醛和2,4-二烯癸醛被确认为鱼腥味的化合物.研究发现,这些物质总量在鲤鱼体的鱼鳞、鱼鳃和鱼肉的分布呈现下降趋势,且其总量与鱼腥味强度之间具有可比较的对应关系.     

珀金埃尔默TurboMatrix40顶空进样系统

正珀金埃尔默TurboMatrix40顶空进样系统-GC/MS空气在线监测解决方案具有以下特点:(1)满足美国、欧洲臭氧前体物等监测法规要求;(2)连续自动监测,远程监控同一色谱分析系统即可每小时获取同一样品的1套C2~C12化合物分析数据;(3)分离分析乙烷、乙烯和丙烯等低碳类化合物,能捕集样品中较宽范围的挥发性化合物;(4)稳定的保留时间,便于定性分析,定量结果     

顶空/气相色谱-质谱联用结合化学计量学分析金属油墨印刷纸制品中气味物质

利用顶空/气相色谱－质谱联用法结合化学计量学分析3种原纸板及3种金属油墨印刷纸板中的挥发性物质及其差异。将样品剪裁后经顶空/气相色谱－质谱（HS/GC - MS）检测,结合MS－DIAL软件解卷积、NIST质谱库和物质保留指数定性分析,采用峰面积归一法计算各物质的相对含量,并计算相对气味活性值（ROAV）,分析金属油墨印刷纸板中关键气味贡献物质及其影响。结果表明,所有纸样中共检出63种化合物,其中鉴定出46种挥发性物质,包括醛类、酮类、烷烃类和烯烃类等化合物。金属油墨印刷后使得纸板产生更多醛酮类挥发性化合物,影响纸板整体的气味特征。筛选出苯甲醛、正辛醛、（E, E）-2,4-庚二烯醛、正癸醇、2-戊基呋喃等19种关键气味物质,建立主成分分析（PCA）、正交偏最小二乘判别分析（OPLS－DA）及层次聚类分析（HCA）模型,区分效果不明显,结果说明这些物质在不同原纸板及其金属油墨印刷纸板中均有分布。     

顶空固相微萃取-气相色谱-质谱分析发酵香肠挥发性成分

采用固相微萃取-气相色谱-质谱(SPME-GC-MS)联用分析技术对发酵香肠挥发性成分进行了分析。共鉴定了33种化合物。结果表明，发酵香肠的挥发性成分主要为醇类、酮类、酯类、有机酸类、酚类及醛类等。     

非TiO2光催化剂去除气态VOCs

本文综述了近年来非TiO₂光催化剂降解气态挥发性有机物（VOCs）的研究现状。对一些有代表性的新型光催化剂,如金属氧化物、宽带隙p区金属氧化物/氢氧化物、钙钛矿类、尖晶石类、铋系化合物、钒系化合物等的结构与光催化性能之间的关系进行分析。另外,本文从VOCs初始浓度、流速、光源、光强、温度、湿度等光催化反应的工艺条件出发,概述了工艺参数对VOCs废气净化效果影响的研究进展;并对目前非TiO₂光催化剂研究中存在的主要问题进行总结并展望。     

吹扫/捕集-热脱附气质联用法对荷叶挥发油成分的对比分析

采用同时蒸馏萃取提取得到荷叶挥发油, 通过吹扫/捕集-热脱附法(P&T-TD)对上述提取物中挥发性成分进行富集, 以气质联用(GC/MS)进行定性检测, 同时与直接进样GC/MS法分析的成分进行比较. 两种方法成功分离分析出有机酸、酯、醛、醇、酚、烷烃、芳香烃、烯烃以及含氮、硫、氧杂原子的化合物等共计84种成分, 其中P&T-TD GC/MS鉴定出63种有机化合物, GC/MS鉴定出41种有机化合物, 有20种成分共同检出. 对比分析表明: P&T-TD GC/MS的吹扫/捕集-热脱附过程能富集各种组分, 相比GC/MS分析, 可以鉴定出微量成分及更多挥发性和半挥发性成分, 在精油等挥发性成分的分析检测中使用优势明显.     

全二维气相色谱/飞行时间质谱用于烟叶中酸性成分的分离与分析

建立了烟叶中酸性化合物(挥发性、 半挥发性羧酸类和酚类)组成研究的全二维气相色谱/飞行时间质谱(GC×GC-TOFMS)分析方法, 并用此方法对香料烟中的酸性化合物进行了表征. 用同时蒸馏萃取样品的前处理方法, 采用TOFMS谱图库检索结合全二维特有的包含结构信息的二维谱图, 通过族分离和结构谱图, 鉴定出了香料烟中143种挥发性及半挥发性酸性组分, 包括10种酸酐和呋喃二酮, 43种有机酸和90种酚类化合物. 同时对不同类别的化合物在二维气相色谱上的分布模式进行了研究. 结果表明, 全二维气相色谱飞行时间质谱的高分辨率非常适合于烟叶这类复杂体系的分离分析.     

Headspace Solid-phase Microextraction–Gas Chromatographic–Mass Spectrometric Analysis of the Essential Oils of Two Traditional Chinese Medicines, Angelica pubescens and Angelica sinensis

Angelica pubescens and Angelica sinensis belong to the Umbelliferae family and both are used as traditional Chinese medicines. In the present study, headspace solid-phase microextraction (HS-SPME) with gas chromatography-mass spectrometry (GC-MS) was used for the analysis of the volatile constituents present in their roots. Eighty-seven compounds in Angelica pubescens and thirty-six compounds in Angelica sinensis were identified by GC-MS. Their relative contents were calculated by the peak area ratio. HS-SPME was compared to steam distillation (SD) by analyzing the volatile constituents of Angelica sinensis root. A good agreement between results obtained with both techniques was found. As a conclusion, HS-SPME is a powerful tool for determining the volatile constituents present in the TCMs.     

Rapid Extraction of Volatile Compounds Using a New Simultaneous Microwave Distillation: Solvent Extraction Device

Simultaneous distillation–extraction (SDE) is routinely used by analysts for sample preparation prior to gas chromatography analysis. In this work, a new process design and operation for microwave assisted simultaneous distillation–solvent extraction (MW-SDE) of volatile compounds was developed. Using the proposed method, isolation, extraction and concentration of volatile compounds can be carried out in a single step. To demonstrate its feasibility, MW-SDE was compared with the conventional technique, SDE, for gas chromatography-mass spectrometry (GC-MS) analysis of volatile compounds in a fresh aromatic herb, Zygophyllum album L., a wild salty desert herb belonging to the family Zygophyllaceae. SDE method required a long time (3 h) to isolate the volatile compounds, and large amounts of organic solvent (200 mL of hexane) for further extraction, while MW-SDE needed shorter time (only 30 min) to prepare the sample, and less amount of organic solvent (10 mL of hexane). These results show that MW-SDE–GC-MS is a simple, rapid and solvent-less method for the determination of volatile compounds from aromatic plants.     

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.     

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.     

Gas chromatography-mass spectrometry with solid-phase microextraction method for determination of methyl salicylate and other volatile compounds in leaves of<Emphasis Type="Italic"> Lycopersicon esculentum</Emphasis>

Methyl salicylate (MeSA) in many plants is a important signaling compound, which plays an important role in a pathogen-induced defense response. In this paper, gas chromatography-mass spectrometry (GC-MS) with headspace solid-phase microextraction (HS-SPME) was developed for determination of MeSA and other volatile compounds in leaves of a tomato plant (Lycopersicon esculentum). Tomato leaves were ground under liquid nitrogen and sampled by HS-SPME, with a 100 m polydimethylsiloxane fiber, and finally analyzed by GC-MS. Eighteen compounds in the leaves of tomato plant infested by tobacco mosaic virus (TMV) were separated and identified, among them MeSA, which was quantitatively analyzed by the standard addition method. MeSA concentrations higher than 2.0 g g^–1 fresh weight accumulated in leaves of TMV-infested tomato plant as the defense response to TMV. A similar concentration of MeSA in the leaves of MeSA-treated tomato plant was also found. No MeSA in leaves of control tomato plant was detected. These findings suggest that MeSA might be a signaling compound in the tomato plant response to TMV. The present method for determination of MeSA required only simple sample preparation and no organic solvent, and provided an excellent relative standard deviation of less than 5.0% and a low detection limit of 10 ng g^–1 fresh weight for MeSA. These results show that GC-MS-HS-SPME is a simple, rapid and sensitive method for determination of MeSA and other plant-signaling compounds in plant tissues.     

Use of solid-phase microextraction as a sampling technique for the characterization of volatile compounds emitted from Chinese daffodil flowers

Headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS) has been applied to the determination of volatile compounds emitted from living daffodil flowers. The SPME conditions were optimized and applied to headspace extraction of the volatile compounds. The volatile compounds adsorbed on the fiber were desorbed and analyzed by GC-MS. We identified 27 compounds in the flower emission, which mainly included acetic acid phenethyl ester (31.68%), E-ocimene (17.15%), acetic acid benzyl ester (11.53%), neo-allo-ocimene (6.94%), allo-ocimene(5.34%), α-linalool (5.26%), 1,8-cineole(3.70%), benzenepropyl acetate (1.98%), and 3-methyl-2-buten-1-ol acetate(1.88%). The volatile compounds emitted by the flower excised from the daffodil were also analyzed by the present method, and the results showed that n-pentadecane, n-hexadecane, n-octadecane, and acetic acid phenethyl ester might be biomarker compounds of living daffodil flowers. To our knowledge, this is the first report on the volatile compounds emitted from Chinese daffodil flowers. The text was submitted by the authors in English.     

唇形科植物挥发油化学成分的GC/MS研究

在运用GC/MS技术的基础上采用HELP(直观推导式演进特征投影法)方法研究了九种唇形科植物的化学成分, 并以唇形科植物半枝莲为例详细介绍了HELP的解析过程. 应用总体积积分法测定各成分的相对百分含量. 鉴定出相对共有成分达70余种, 大多数为萜类化合物及其衍生物. 不同的唇形科植物的挥发油化学成分与特征成分有明显差异. 九种药材挥发性成分中均含有桉油精(Eucalyptol, 含量0.10%～1.01%)和芳樟醇(Linalool, 0.11%～3.05%). 利用GC/MS分析法结合化学计量学分辨方法鉴定挥发油化学成分, 比单独使用GC-MS法结果更准确、可靠.     

GC–MS法分析茵陈挥发油成分

采用水蒸气蒸馏法提取茵陈中挥发性成分挥发油,用气相色谱–质谱联用技术(GC–MS)对茵陈挥发油成分进行分析鉴定,并采用峰面积归一化法测定其相对含量。共检出52种挥发性成分,鉴定了其中31种主要挥发性成分,含量较高的组分为石竹素(15.27%)、(–)-斯巴醇(6.64%)、石竹烯(4.89%)等。GC–MS法适用于茵陈挥发性成分的定性分析,具有灵敏度高、分析速度快的特点。     

Application of a thermal desorption cold trap injector to multidimensional GC and GC-MS

The Thermal desorption Cold Trap injector (TCT) was used as a part of modified multidimensional GC (MDGC) or MDGC mass spectroscopy (MS) systems. These systems were based on a preparative GC (GC1), an analytical GC (GC2), or GC-MS and the TCT. The TCT was mounted on the GC2 or GC-MS. Analysis was carried out as follows: first, the volatile compounds heart-cut after separation on the GC1 column were adsorbed onto the Porapak Q column out of the GC1 oven. This Porapak Q column was then coupled to the TCT, and the volatile compounds adsorbed on the Porapak Q were thermally desorbed, cold trapped, and injected onto an analytical column in the GC2 or GC-MS. Repeatability of the retention time (RT) and area % of model samples consisting of citronellol, decanol, and geranyl acetate was examined. Also, the volatile compounds present at very low concentrations in ethanol solution were concentrated on the Porapak Q column. These were injected onto the analytical column by the same method as described above, and the repeatability of the RT and area % on the chromatogram was examined. In the two experiments, the standard deviation of the RT and area % for each compound was about 0.02 and less than 2.85, respectively. A commercial geranium oil was successfully analyzed by this technique. The results indicate that this modified MDGC and MDGC-MS system are very useful for detection and determination of compounds in complex mixtures.     

Multivariate optimization and HS-SPME/GC-MS analysis of VOCs in red, yellow and purple varieties of Capsicum chinense sp. peppers

Peppers are used not only in cookery, but also in many other applications, like cosmetic, pharmaceutical and nourishing industry. The chemical composition of peppers is quite complex and several volatile and non-volatile substances contribute to their flavor, which is an important sensorial propriety. In this work a headspace/solid phase microextraction/gas chromatography coupled to mass spectrometry method was developed to evaluate the profiles of volatile compounds that contribute to the aroma of red, yellow and purple varieties of Capsicum chinense sp. peppers. The optimization of the extraction conditions was carried out using multivariate strategies such as factorial design and response surface methodology. The GC-MS analysis allowed the tentative identification of 34 compounds, with similarities higher than 85%, in accordance with the NIST mass spectral library. The data obtained by the analysis of volatile compounds, according to the proposed method, were treated with PCA chemometrics tool in order to group different varieties of C. chinense sp. peppers with similar VOC profiles. Amongst the most abundant VOCs, hexyl ester of pentanoic acid, dimethylcyclohexanols, humulene and esters of butanoic acid were found. Principal component analysis turned possible to visualize the grouping tendencies of the studied varieties of pepper, as well as the identification of the volatile compounds responsible for discriminating the three groups. Considering the fact that many species of peppers are used as human food, the significance of this work is further emphasized by its applicability to the study of food quality indicators, and as a tool for investigations on the composition of the pepper sources.