微波蒸馏-固相微萃取-气相色谱-质谱-嗅觉检测器联用分析鳙鱼鱼肉中的挥发性成分

用微波蒸馏(MD)-固相微萃取装置(SPME)提取鳙鱼鱼肉中的挥发性成分,利用气相色谱-质谱联用仪(GC-MS)对气味化合物成分进行了定性分析,同时利用嗅觉检测器鉴别了部分挥发性物质的气味特征。实验中优化了MD的操作条件(加热功率、加热时间及载气流速等)、SPME参数(萃取头种类、萃取温度、萃取时间、无机盐离子浓度及搅拌速率等)。通过NIST 02质谱数据库检索共定性确定出鳙鱼鱼肉挥发性成分中的53种化合物,其中主要为 C6~C9 的羰基化合物和挥发性醇类。经过嗅觉检测器分析,这些成分分别具有青草味、鱼腥味、泥土味等气味特征,其协同作用构成了鳙鱼鱼肉特殊的鱼腥味、泥腥味。该方法可用于水产品中挥发性成分的分析,并可为不良风味化合物的定量研究提供参考。     

动态微波辅助顶空固相微萃取-气相色谱-质谱法测定芹菜叶中的化学成分

采用动态微波辅助顶空固相微萃取结合气相色谱-质谱法测定芹菜叶中的挥发性和半挥发性化学成分。对水蒸气蒸馏、顶空固相微萃取、微波辅助顶空固相微萃取、动态微波辅助顶空固相微萃取等4种不同的前处理方法进行了比较,通过气相色谱-质谱分析,分别鉴定出20,17,36,41种化学成分,主要化合物为α-月桂烯、柠檬烯、β-顺式罗勒烯、β-芹子烯和(Z)-3-己烯-1-醇等。结果表明:动态微波辅助顶空固相微萃取是一种简单、快速、易操作,无需净化步骤,消耗样品量少,对于沸点较高的半挥发性物质的萃取效果优于微波辅助顶空固相微萃取的方法,可用于分析各类植物中的挥发性和半挥发性化学成分。     

顶空固相微萃取-气相色谱-质谱法测定北极虾虾头的挥发性成分

为了测定北极虾(P.Borealis)虾头中的挥发性风味成分,采用顶空固相微萃取-气相色谱-质谱(HS-SPME-GC-MS)分离及初步鉴定,以C5～C20正构烷烃系列标准品进行Kovats保留指数(Rentention index,RI)验证,在此基础上利用未知物标准品匹配法最终确证.对虾头中的62种挥发性化合物进行...     

顶空固相微萃取-气相色谱-质谱法分析芝麻香精的挥发性成分

采用顶空固相微萃取-气相色谱-质谱法分离和鉴定芝麻香精中挥发性成分,用归一化法测定其相对含量。为使固相微萃取达到更高的效率,选用50/30μm DVB-CAR-PDMS的固相萃取头,萃取温度及时间为60℃和1h。两种芝麻香精中分别鉴定出31和28种香气成分,其中含量较高的几类物质分别为吡嗪类、呋喃类、吡啶类、酮类和酚类物质。1号香精中的主要香气化合物为:1,6-二氢-咪唑并[4,5-d]咪唑、甲基吡嗪、3,5-二甲基苯酚、糠醛、2,6-二甲基-4-氨基吡啶和5-甲基-2-呋喃甲醛。2号香精中的主要香气化合物为:2,3-二甲基吡嗪、2-糠酸糠酯、4-氨基吡啶、3,5-二甲基苯酚、乙酰基吡嗪和糠醛。     

两种梅花香气成分的分析及QSRR研究

采用固相微萃取(SPME)-气相色谱质谱(GC-MS)联用技术分析两种梅花的香气成分,通过保留指数与质谱解析相结合,分别对化合物进行定性分析.采用偏最小二乘回归(PLS)及多元线性回归(MLR)方法分别建立定量结构-色谱保留关系(QSRR)预测模型,并对训练集及测试集中化合物的保留指数进行预测.该研究为建立有效的GC-MS定性方法提供了一定的依据.     

香水百合头香成分的定量结构-色谱保留关系研究

采用固相微萃取(SPME)/气相色谱-质谱(GC-MS)联用技术分析香水百合的头香成分,通过保留指数与质谱解析相结合的方法,共鉴定出(E)-罗勒烯、芳樟醇、苯甲酸甲酯、(E)-2-甲氧基-4-(1-丙烯基)-苯酚、4-甲基-2-甲氧基苯酚、月桂烯和(Z)-罗勒烯等35种化合物.采用多元线性回归(MLR)方法建立定量结构-色谱保留关系(QSRR)预测模型,并对训练集及测试集中化合物的保留指数进行预测, 结果表明,计算值与预测值接近,QSRR方程预测性能较好.     

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.     

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。     

固相微萃取和气质联用分析测定土壤中13种挥发性芳香烃

建立了固相微萃取(SPME)-气相色谱质谱法(GC-MS)测定土壤中13种挥发性芳香烃的方法.用SPME萃取土壤中的挥发性芳香烃,利用安捷伦5977A气相色谱-质谱进行分离检测,选用土壤基质修改液提高了目标化合物的回收率.13种芳香烃组分在5.0、10、20、40、50μg/kg土壤中质量浓度范围内呈线性关系,相关系数r2大于0.995,方法检测限小于1.0μg/kg,完全满足检测要求.     

顶空固相微萃取-气相色谱/质谱联用法研究枸桔中的香气化合物

采用顶空固相微萃取-气相色谱/质谱联用法分析了湖北江汉平原的枸桔中香气化合物以及其随枸桔成熟度的变化,以D-柠檬烯、α-蒎烯、芳樟醇、α-松油醇为代表,获得了顶空固相微萃取的最佳萃取条件。气相色谱-质谱(GC-MS)联用技术结果表明:从枸桔果肉中共检测出60种香气成分,其中烃类32种,酯类10种,醇类7种,醛类11种;从果皮中共检测出37种香气成分,其中烃类27种,酯类1种,醇类3种,醛类5种,其它类1种。生长初期、中期和成熟期的枸桔果肉共有的香气成分有14种,果皮共有的香气成分有13种,其中生长初期枸桔果实中的总香气含量最高。     

Identification of aroma active compounds in orange essence oil using gas chromatography-olfactometry and gas chromatography-mass spectrometry

Using GC-MS and GC-flame ionization detection (FID)/olfactometry, 95 volatile components were detected in orange essence oil, of which 55 were aroma active. In terms of FID peak area the most abundant compounds were: limonene, 94.5%; myrcene, 1%; valencene, 0.8%; linalool, 0.7%, and octanal, decanal, and ethyl butyrate, 0.3% each. One hundred percent of the aroma activity was generated by slightly more than 4% of the total volatiles. The most intense aromas were produced by octanal, wine lactone, linalool, decanal, beta-ionone, citronellal, and beta-sinensal. Potent aroma components reported for the first time in orange essence oil include: E-2-octenal, 1-octen-3-ol, Z-4-decenal, E,E-2,4-nonadienal, guaiacol, gamma-octalactone, and m-cresol. Over 20 compounds were identified for the first time in orange essence oil using MS, however, most did not exhibit aroma activity.     

Development of a stir bar sorptive extraction method for the determination of volatile compounds in orange juices

A stir bar sorptive extraction method for the determination of volatile compounds in orange juices was developed. The extraction variables were optimized using a reduced two‐level factorial screening design (2^5‐1), and the most suitable analytical conditions for the extraction of the studied compounds were: sample volume 10 mL, extraction time 60 min, stirring speed 1800 rpm, NaCl amount 30% (weight/volume), and twister length 10 mm. The optimized method was further validated, obtaining good linearity and detection and quantification limits low enough to correctly determine the studied compounds. As well, for most of the studied compounds precision and recovery values were good. Several orange juice samples (squeezed and commercial) were extracted following the optimized extraction method and analyzed by gas chromatography coupled to mass spectrometry detection. The method has proven to be suitable for the determination of the aroma of orange juice, of which limonene was the major volatile compound in all the studied samples.     

Characterization of Aroma Compounds in Cooked Sorghum Using Comprehensive Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry and Gas Chromatography-Olfactometry-Mass Spectrometry

Sorghum is the major raw material for the production of Chinese Baijiu (Chinese liquor) and has a great effect on the flavor of Baijiu. Volatiles in cooked glutinous and non-glutinous sorghum samples were extracted using solid-phase microextraction (SPME) and analyzed via comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-TOFMS) and gas chromatography-olfactometry/mass spectrometry (GC-O/MS). A total of 145 volatile compounds and 52 potent odorant compounds were identified from both sorghum types according to the retention index, MS, aroma, and standards. Based on their aroma features, the compounds were grouped into eight general categories, and the intensities of each aroma group were summed. Moreover, most of the compounds detected in the cooked sorghums were also detected in commercial Chinese Baijiu, indicating that the aroma compounds produced during the sorghum cooking process have a direct and significant influence on the final flavor quality of Baijiu.     

Changes in Phenols,Polysaccharides and Volatile Profiles of Noni (Morinda citrifolia L.) Juice during Fermentation

The change in phenols, polysaccharides and volatile profiles of noni juice from laboratory- and factory-scale fermentation was analyzed during a 63-day fermentation process. The phenol and polysaccharide contents and aroma characteristics clearly changed according to fermentation scale and time conditions. The flavonoid content in noni juice gradually increased with fermentation. Seventy-three volatile compounds were identified by solid-phase microextraction coupled with gas chromatography–mass spectrometry (SPME-GC-MS). Methyl hexanoate, 3-methyl-3-buten-1-ol, octanoic acid, hexanoic acid and 2-heptanone were found to be the main aroma components of fresh and fermented noni juice. A decrease in octanoic acid and hexanoic acid contents resulted in the less pungent aroma in noni juice from factory-scale fermentation. The results of principal component analysis of the electronic nose suggested that the difference in nitrogen oxide, alkanes, alcohols, and aromatic and sulfur compounds, contributed to the discrimination of noni juice from different fermentation times and scales.     

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%).     

QSRR Study of GC Retention Indices of Volatile Compounds Emitted from Mosla chinensis Maxim by Multiple Linear Regression

The volatile compounds emitted from Mosla chinensis Maxim were analyzed by headspace solid‐phase microextraction (HS‐SPME) and headspace liquid‐phase microextraction (HS‐LPME) combined with gas chromatography‐mass spectrometry (GC‐MS). The main volatiles from Mosla chinensis Maxim were studied in this paper. It can be seen that 61 compounds were separated and identified. Forty‐nine volatile compounds were identified by SPME method, mainly including myrcene, α‐terpinene, p‐cymene, (E)‐ocimene, thymol, thymol acetate and (E)‐β‐farnesene. Forty‐five major volatile compounds were identified by LPME method, including α‐thujene, α‐pinene, camphene, butanoic acid, 2‐methylpropyl ester, myrcene, butanoic acid, butyl ester, α‐terpinene, p‐cymene, (E)‐ocimene, butane, 1,1‐dibutoxy‐, thymol, thymol acetate and (E)‐β‐farnesene. After analyzing the volatile compounds, multiple linear regression (MLR) method was used for building the regression model. Then the quantitative structure‐retention relationship (QSRR) model was validated by predictive‐ability test. The prediction results were in good agreement with the experimental values. The results demonstrated that headspace SPME‐GC‐MS and LPME‐GC‐MS are the simple, rapid and easy sample enrichment technique suitable for analysis of volatile compounds. This investigation provided an effective method for predicting the retention indices of new compounds even in the absence of the standard candidates.     

Analysis of Wine Bouquet Components Using Headspace Solid-Phase Microextraction-Capillary Gas Chromatography

Headspace solid-phase microextraction (HS/SPME) was studied and optimized for the capillary gas chromatographic (CGC) analysis of wine aroma compounds. The results were compared with those obtained using the direct sampling mode (DI/SPME) and using liquid/liquid extraction with Kaltron. The aromatic patterns obtained by HS/SPME-CGC were applied to the chemometric classification of wine varieties. The HS/SPME-CGC standard additional method is an appropriate technique for the quantitative analysis of volatile wine aroma compounds.     

Effects of Different Extraction Methods on Vanilla Aroma

To establish the analytic conditions for examining the aroma quality of vanilla pods, we compared different extraction methods and identified a suitable option. We utilized headspace solid-phase microextraction (HS-SPME), steam distillation (SD), simultaneous steam distillation (SDE) and alcoholic extraction combined with gas chromatography (GC) and gas chromatography–mass spectrometry (GC-MS) to identify volatile components of vanilla pods. A total of 84 volatile compounds were identified in this experiment, of which SDE could identify the most volatile compounds, with a total of 51 species, followed by HS-SPME, with a total of 28 species. Ten volatile compounds were identified by extraction with a minimum of 35% alcohol. HS-SPME extraction provided the highest total aroma peak areas, and the peak areas of aldehydes, furans, alcohols, monoterpenes and phenols compounds were several times higher than those of the other extraction methods. The results showed that the two technologies, SDE and HS-SPME, could be used together to facilitate analysis of vanilla pod aroma.     

Elucidation of Analytical–Compositional Fingerprinting of Three Different Species of Chili Pepper by Using Headspace Solid-Phase Microextraction Coupled with Gas Chromatography–Mass Spectrometry Analysis,and Sensory Profile Evaluation

The aim of the present study was to determine the volatile compounds of three different species of chili peppers, using solid-phase microextraction (SPME) methods in combination with gas chromatography–mass spectrometry (GC-MS). The detection of marker aroma compounds could be used as a parameter to differentiate between species of chili peppers for their detection and traceability in chili pepper food. The sensorial contribution was also investigated to identify the predominant notes in each species and to evaluate how they can influence the overall aroma. Three different pepper species belonging to the Capsicum genus were analyzed: Chinense, Annuum, and Baccatum. A total of 269 volatile compounds were identified in these species of chili peppers. The Capsicum annum species were characterized by a high number of acids and ketones, while the Capsicum chinense and Capsicum baccatum were characterized by esters and aldehydes, respectively. The volatile profile of extra virgin olive oils (EVOOs) flavored with chili peppers was also investigated, and principal component analysis (PCA) and hierarchical cluster analysis (HCA) of the volatile profiles were demonstrated to be a powerful analytical strategy for building a model that highlights the potential of a volatile characterization approach for use in evaluating food traceability and authenticity.     

Characterization of aroma active compounds in fruit juice and peel oil of Jinchen sweet orange fruit (Citrus sinensis (L.) Osbeck) by GC-MS and GC-O

Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-olfactometry (GC-O) were used to determine the aromatic composition and aroma active compounds of fruit juice and peel oil of Jinchen sweet orange fruit. Totals of 49 and 32 compounds were identified in fruit juice and peel oil, respectively. GC-O was performed to study the aromatic profile of Jinchen fruit juice and peel oil. A total of 41 components appeared to contribute to the aroma of fruit juice and peel oil. Twelve components were the odorants perceived in both samples. The aromatic compositions of fruit juice were more complex than that of peel oil. Ethyl butanoate, beta-myrcene, octanal, linalool, alpha-pinene, and decanal were found to be responsible for the aromatic notes in fruit juice and peel oil. Nineteen components have been perceived only in the juice and ten compounds were described as aromatic components of only the peel oil by the panelists. These differences lead to the different overall aroma between fruit juice and peel oil.