Determination of Aromatic Components of Rosa davurica Pall. by Headspace Solid Phase Microextraction Combined with GC-MS

[Objectives] To determine the aromatic components of Rosa davurica Pall. [Methods] 42 kinds of aromatic components were identified from the flowers of R. davurica by headspace solid phase microextraction( HS-SPME) combined with gas chromatography-mass spectrometry( GC-MS). The main compounds were alcohols( 54. 88%) and aldehydes( 19. 55%). [Results] The top five components with the highest relative content were phenylethyl alcohol( 12. 69%),geraniol( 9. 85%),citronellol( 8. 80%),nerol( 7. 84%) and 2-n-pentylfuran( 7. 45%). [Conclusions] Headspace solid phase microextraction( HS-SPME) combined with gas chromatography-mass spectrometry( GC-MS) can provide basis for further development and utilization of R. davurica.

Integration of GC-MS Based Non-Targeted Metabolic Profiling with Headspace Solid Phase Microextraction Enhances the Understanding of Volatile Differentiation in Tobacco Leaves from North Carolina, India and Brazil

In this report, gas chromatography-mass spectrometry (GC-MS) based non-targeted metabolomics is used to develop appropriate headspace solid phase microextractions (HS-SPME) to enhance the understanding of volatile complexity of flue-cured tobacco leaves. Non-targeted metabolic profiling of GC-MS shows that the extraction condition of HS-SPME at 100?C for 30 min provides a better metabolite profile than other extraction conditions tested. GC-MS and principal component analyses (PCA) show that among five types of fibers tested, 100 μm polydimethylsiloxane (PMDS), 65 μm polydimethylsiloxane/divinylbenzene (PMDS/DVB) and 75 μm carboxen/polydimethylsiloxane (CAR/ PMS) provide a better reproducible metabolite profile. Based on an appropriate PDMS extraction condition optimized, we use GC-MS analysis and PCA to compare metabolite profiles in flue-cured leaves of tobacco plants grown in North Carolina, India and Brazil, respectively. The resulting data of PCA show that the global metabolic profiles in North Carolina samples are separated from those in Brazil and India samples, two groups of which are characterized by a partially overlapped pattern. Several peaks that were differentially accumulated in samples were annotated to known metabolites by deconvolution analysis, such as norsolanadione, solavetivone and rishtin. Norsolanadione is detected only in Brazil samples. Solavetivone is detected in samples of India and Brazil but not in those of North Carolina. Rishtin is detected in samples of North Carolina and India but not in Brazil samples. These data indicate that not only can a non-targeted metabolic profiling approach enhance the understanding of volatile complexity, but also can identify marker volatile metabolites in tobacco leaves produced in different growth regions.

Multiple responses optimization in the development of a headspace gas chromatography method for the determination of residual solvents in pharmaceuticals

An efficient generic static headspace gas chromatography （HSGC） method was developed, optimized and validated for the routine determination of several residual solvents （RS） in drug substance, using a strategy with two sets of calibration. Dimethylsulfoxide （DMSO） was selected as the sample diluent and internal standards were used to minimize signal variations due to the preparative step. A gas chroma- tograph from Agilent Model 6890 equipped with flame ionization detector （FID） and a DB-624 （30 m × 0.53 mm i.d., 3.00 μm film thickness） column was used. The inlet split ratio was 5：1. The influ- encing factors in the chromatographic separation of the analytes were determined through a fractional factorial experimental design. Significant variables： the initial temperature （IT）, the final temperature （FT） of the oven and the carrier gas flow rate （F） were optimized using a central composite design. Response transformation and desirability function were applied to find out the optimal combination of the chromatographic variables to achieve an adequate resolution of the analytes and short analysis time. These conditions were 30 ℃ for IT, 158 ℃ for FT and 1.90 mL/min for F. The method was proven to be accurate, linear in a wide range and very sensitive for the analyzed solvents through a comprehensive validation according to the ICH guidelines.

Analysis of Residual Solvents in Annatto Extracts Using a Static Headspace Gas Chromatography Method

An analytical method for the quantification of residual solvents in annatto extracts, natural food colorants, was established using a static headspace gas chromatography (HSGC) coupled with a flame ionization detector (FID). As a sample diluent in a headspace sampling, dimethylformamide (DMF) was selected owing to its high capacity for dissolving both bixin-based and norbixin-based annatto extracts. The quantification of residual solvents was performed using the external standard method. The linearity of the calibration curves was assured with relative coefficients (R2) that were greater than 0.999. The recoveries of all standard solvents spiked in the annatto extracts were in the range from 95.1% to 107.1% to verify the accuracy and the relative standard deviation (RSD%) values (n = 3) were in the range from 0.57% to 3.31%. The quantification limits (QL) were sufficiently lower than the limits specified by Joint FAO/WHO Expert Committee on Food Additives (JECFA). With the established HSGC method, six residual solvents (methanol, ethanol, 2-propanol, acetone, ethyl acetate, and hexane) in 23 commercial annatto-extract products that consist of seven bixin-based and 16 norbixin-based products were quantified. The levels of residual ethyl acetate and hexane in all products were lower than the specified limits of JECFA. However, three samples of bixin-based products showed higher levels of residual 2-propanol (approximately 313.9 - 427.7 ppm) than the specified limit. Other bixin products also showed higher concentrations of residual methanol (approximately 166.6 - 394.7 ppm) and residual acetone (approximately 75.2 - 179.8 ppm) than the limits of JECFA. In the case of norbixin-based products, nine samples showed higher levels of residual acetone (approximately 42.6 - 139.5 ppm) than the limits of JECFA. This is the first survey of residual solvents in annatto extracts using the validated HSGC method.

Headspace Solid-Phase Micro-Extraction Gas Chromatography/Mass Spectrometry(HS-SPME-GC/MS)-Based Untargeted Metabolomics Analysis for Comparing the Volatile Components from 12 Panax Herbal Medicines

Quality control of ginseng currently is mainly based on ginsenoside analysis,but rarely focuses on the volatile organic components.In the current work,an untargeted metabolomics approach,by headspace solid-phase micro-extraction gas chromatography/mass spectrometry(HS-SPME-GC/MS),was elaborated and further employed to holistically compare the compositional difference of the volatile components simultaneously from 12 Panax herbal medicines,which included P.ginseng(PG),P.quinquefolius(PQ),P.notoginseng(PN),red ginseng(PGR),P.ginseng leaf(PGL),P.quinquefolius leaf(PQL),P.notoginseng leaf(PNL),P.ginseng flower(PGF),P.quinquefolius flower(PQF),P.notoginseng flower(PNF),P.japonicus(PJ),and P.japonicus var.major(PJvm).Chromatographic separation was performed on an HP-5MS elastic quartz capillary column using helium as the carrier gas,enabling good resolution within 1 h.We were able to characterize totally 259 volatile compounds,including 82 terpenes(T),46 alcohols(Alc),29 ketones(K),25 aldehydes(Ald),21 esters(E),and the others.By analyzing 90 batches of ginseng samples based on the untargeted metabolomics workflows,236 differential ions were unveiled,and accordingly 36 differential volatile components were discovered.It is the first report that simultaneously compares the compositional difference of volatile components among 12 Panax herbal medicines,and useful information is provided for the quality control of ginseng aside from the well-known ginsenosides.

Application Progress of Headspace Gas Chromatography in Analytical Chemistry

This paper briefly expounds the basic principle and classification of headspace gas chromatography,summarizes its application in food analysis,environmental analysis and medical analysis,and forecasts the application prospect of headspace gas chromatography in analytical chemistry in the future.

Theoretical and numerical investigations on the headspace of cartridge cases considering axial deformation and movement

The cartridge case headspace is the axial clearance between the cartridge and bolt of an automatic weapon,and influences the reliability and security of the weapon.Accordingly,theoretical and numerical studies were conducted to analyze the dynamic response of cartridge cases during internal impact considering the initial radial clearances between the cartridge case and chamber.A theoretical model was proposed to predict the cartridge case headspace considering both the deformation and movement of the cartridge case and confirmed by the results of nonlinear finite element simulations.The differences between the results of the conventional static model and the dynamic model were then comprehensively evaluated.The effects of the angle between the cartridge and chamber,the cartridge case material,and the intermal impact pressure on the predicted headspace value were also analyzed.The dynamic response of the cartridge case predicted by the dynamic model was more accurate than that predicted by the conventional static model.The internal impact pressure,pressure change rate,and cartridge material were all found to affect the predicted headspace.

Analysis of volatile organic compounds emitted from aircraft carpets:comparison using headspace and dynamic chamber tests

Volatile organic compounds(VOCs) emitted from three types of carpets used in aircrafts were compared by using headspace and dynamic chamber tests. The headspace samples contained many compounds that were not detected in the dynamic chamber test; in addition, the dominant VOCs found by these two methods were different. The findings indicate that for highly sorptive materials such as carpets, headspace analysis may give inaccurate indication of actual VOC emissions, and it is necessary to conduct dynamic chamber tests over a certain period of time in order to identify the true emission characteristics. From the dynamic chamber tests, 2-ethyl-1-hexanol was the main VOC emitted from all three carpets. The study also examined the emission characteristics of aircraft carpets. In all experiments, total VOC(TVOC) concentration peaked within a few hours after the start of the experiment and was followed by rapid decay. The emission parameters of TVOC emitted by all three carpets were calculated and the simulated data matched the measured data well.

Analysis of volatile flavor compounds in top fermented wheat beer by headspace sampling-gas chromatography

Headspace sampling-gas chromatography(HS-GC)coupled with an internal standard method(ISM)was developed to analyze the volatile flavor compounds in top fermented wheat beer in the laboratory.Eight compounds,i.e.acetaldehyde,N-propanol,ethyl acetate,isobutyl alcohol,isoamyl alcohol,isoamyl acetate,ethyl hexanoate and ethyl octanoate were separated and quantified.This method was validated to ensure the quality of the results:the precision was satisfactory with relative standard deviation(RSD)in the range of 1.51%-4.22%,recoveries for all the analytes ranged from 95.15%to 99.85%,and the limits of detection were in the range of 0.0002-0.024 mg/L.Results of real wheat beer samples analyzed using this method showed that the volatile compound concentrations were in the range of 0.08-99.91 mg/L.Results suggested that this method exhibited good reproducibility,selectivity and high precision,and it can be useful for the analysis of routine beer samples.

Comparative Analysis of the Volatile Components in the Fresh Roots and Rhizomes of Curcuma wenyujin by Static Headspace Gas Chromatography Mass Spectrometry

Static headspace GC-MS method coupled with H/D exchange was firstly developed to determine and identify the volatile components in the fresh root and rhizome of Curcuma wenyujin. The TIC chromatograms of 3 batches of fresh roots harvested at different time showed significant difference in the volatile components： the constitution was the same but the content of them was different. More than 60 volatile components in fresh roots （Root of C. wenyujin） and rhizomes （Rhizome of C. wenyujin） of C. wenyujin were detected, of which 51 and 48 volatile components were identified respectively. The fresh roots and rhizomes of C. wenyujin were found to have the similar volatile components. The contents of these components were calibrated by the response of β-elemene. In addition, the principal active component, β-elemene, was further confirmed and relatively quantified by its standard. γ-terpinene showed obvious allylic hydrogen/deuterium exchange using deuterium oxide which gave a new method to identify some compounds containing allylic hydrogen. At the same time, the active hydrogen compounds were also further confirmed. The results show that HS-GC-MS of volatile components from medical plants. method is a fast, simple and efficient way for the analysis

Measurement and prediction of isothermal vapor–liquid equilibrium of a-pinene+camphene/longifolene+abietic acid+palustric acid+neoabietic acid systems

The vapor–liquid equilibrium(VLE)data of a-pinene+camphene+[abietic acid+palustric acid+neoabietic acid]and a-pinene+longifolene+[abietic acid+palustric acid+neoabietic acid]systems at 313.15 K,333.15 K and 358.15 K were measured by headspace gas chromatography(HSGC).These data was compared with the predictions value by conductor-like screening model for realistic solvation(COSMO-RS).Moreover,the calculated data of COSMO-RS and Non-Random Two-Liquids(NRTL)models showed good agreement with the experimental data.It was found that the three resin acids inhibited the volatility of a-pinene,camphene and longifolene and resulted in the decrease of total pressure.Moreover,HE(HB)contributes the most to the excess enthalpy and the hydrogen bonding interaction is the dominant intermolecular force of a-pinene,camphene and longifolene with the three resin acids.In addition,the geometric structures optimization and binding energy were obtained by the DFT to further illustrate the hydrogen bonding interaction and the effects of the addition of the three resin acids on the isothermal VLE.

Characterization and discrimination of fermented sweet melon juice by different microbial strains via GC-IMS-based volatile profiling and chemometrics

The main purpose of this study was to investigate the effect of different lactic acid bacteria and yeast strains on the volatile composition of fermented sweet melon juice.Headspace gas chromatography-ion mobility spectrometry(HS-GC-IMS)coupled with chemometrics was performed to identify the potential volatiles for the discrimination of different fermented sweet melon juice.In total,70 volatile compounds were found in the fermented sweet melon juices.Of them,45 compounds were annotated according to the GC-IMS database and classified into esters,alcohols,aldehydes,ketones and furans.Results from the multivariate analysis reveal that sweet melon juice fermented by different combinations of microbial strains could be distinctly separated from each other.A total of 15 volatiles with both variable importance in projection value>1 and P<0.05 were determined as potential markers for the discrimination of fermented sweet melon juice.This study confirms the effect of microorganisms on the flavor of the fermented sweet melon juice and shows the potential of HS-GC-IMS combined with chemometrics as a powerful strategy to obtain volatile fingerprints of different fermented sweet melon juice.

应用顶空-固相微萃取结合气相色谱-质谱联用技术分析传统锦州虾酱中挥发性物质

传统锦州虾酱是以白虾和乌虾为原料,在高盐条件下经长时间发酵形成海产风味食品。采用HPSPME/GC-MS结合保留指数方法分析虾酱中的挥发性物质,并对萃取条件进行优化。从DVB/PDMS、CAR/PDMS和DVB/CAR/PDMS筛选出最佳萃取头,同时采用正交试验优化SPME参数条件,确定适宜萃取条件为75μm CAR/PDMS萃取头,样品质量为5.0 g,萃取温度为70℃,萃取时间为50 min。对虾酱的风味物质分析得到44种挥发性物质,分别为醛类、酮类、酯类、酸类、酚类、烷烃类、吡嗪类和其他化合物。其中白虾虾酱主要呈香物质是醛类、吡嗪类和酚类等低阈值化合物,3-甲硫基丙醛、四甲基吡嗪和吲哚可能是白虾虾酱有别于乌虾虾酱的特有风味物质。乌虾虾酱主要呈香物质是醛类、酯类、酸类和酚类等低阈值化合物,酸类化合物是乌虾虾酱有别于白虾虾酱特有的风味物质,酯类化合物也可能是乌虾虾酱中风味物质的增味剂。

HS-SPME-GC-MS技术分析不同加工阶段的甲鱼腥味成分变化

为研究不同加工方式对甲鱼腥味成分的影响,采用HS-SPME-GC-MS技术对甲鱼预煮、卤制、烘烤不同加工阶段的腥味物质进行分析。结果表明,经NIST/Willey质谱数据库检索和文献对照,新鲜甲鱼共检出48种挥发成分,确定36种成分,包括烃类21种、醛类12种、醇类化合物5种、芳香类5种、羧酸类3种、酮类1种、酯类1种。其中以己醛的百分含量最多,为29.1%,有青草味;庚醛占10.69%,具有强烈的油脂氧化味;壬醛占12.58%,提供鱼腥味;占2.02%的对二甲苯有刺激味;占2.36%的1-辛烯-3-醇具有土腥味。认为己醛、壬醛、庚醛、1-辛烯-3-醇等共同形成了甲鱼的腥味。通过预煮、卤制、烘烤等加工工艺后,腥味成分已减少至只能检测出己醛和壬醛,且含量都不超过1%。表明经预煮、卤制、烘烤等加工可以有效控制甲鱼的腥味。

酱油挥发性成分固相微萃取条件的优化

顶空固相微萃取(headspace solid-phase microextraction,HS-SPME)是提取挥发性成分比较常用的方法。为了确定提取酱油挥发性成分的SPME萃取头,分别以挥发性成分的累积峰面积标准化值和峰面积相对标准偏差的平均值与标准偏差为指标,考察了不同型号萃取头的萃取灵敏度和重复性,确定采用65μm PDMS/DVB提取酱油挥发性成分;并以各类挥发性成分峰面积和总峰面积为指标,优化了其萃取条件,确定萃取条件为:样品用量8 m L,萃取温度60℃,萃取时间60 min。利用优化方法对酱油挥发性成分进行提取,经气相色谱-质谱联用(gas chromatography-mass spectrometry,GC-MS)分析,共鉴定出86种挥发性成分,其中最主要的为酯类物质,其次为醇类、醛类和酸类。挥发性成分峰面积的平均相对标准偏差为8.14%,方法重复性较好。

一种快速测定厌氧污泥活性的顶空气相色谱技术

将含有厌氧污泥的样品放入一顶空样品瓶内,在恒定的温度下平衡,并通过多次顶空抽提的方式对样品瓶中所产生的甲烷量随时间的变化进行气相色谱检测,从而实现厌氧污泥比产甲烷活性的检测。实验表明,多次顶空抽提-气相色谱测定厌氧污泥产甲烷活性的技术用约3h就可以得出厌氧污泥产甲烷的线性规律,其结果与对比试验的数据相近。因而该方法适用于厌氧污泥活性的快速预测,可大大提高相关厌氧污泥活性测定及废水处理领域研究的效率。

林芝松口蘑与红菇蜡伞子实体香气成分比较

研究采用顶空固相微萃取技术联合气质联用技术分别对松口蘑和红菇蜡伞子实体香气成分进行分析测定和比较分析,以期建立准确、快速、高效的鉴别方法。结果显示,松口蘑检测到74种香气成分,红菇蜡伞检测到72种香气成分,松口蘑相较红菇蜡伞检测到特有的香气成分14种,包括乙醛、庚醛等6种醛类,2(5H)-呋喃酮1种酮类,3-苯丙醇1种醇类,正己酸乙酯、丙位戊内酯2种酯类,萜品烯和异松油烯等4个烯烃类;红菇蜡伞相较松口蘑,检测到特有的香气成分16种,包括2-丁基-2-辛烯醛1种醛类,3-羟基-2-丁酮、甲基庚烯酮等4种酮类,丁醇等5种醇类,(1-羟基-2,4,4-三甲基戊-3-基) 2-甲基丙酸酯1种酯类,异丁酸、丁酸等3种羧酸类,邻甲酚1种酚类,乙二醇单丁醚1种醚类,N-甲基吡咯烷酮1种含氮化合物。经过主成分分析,得到红菇蜡伞中的主要特征性香气成分为:己醛、3-羟基-2-丁酮、3-辛烯酮、2-甲烯基丁内酯、异戊酸;松口蘑中为:异戊醛、庚醛、壬醛、2,5,2-三甲基吡嗪、2,6,2-三甲基吡嗪。同时对松口蘑与红菇蜡伞干品挥发性香气成分相对含量对比发现,松口蘑主要香气成分含量关系为醛类>烯烃类>醇类>酯类,红菇蜡伞主要香气成分含量关系为醛类>醇类>烯烃类>酯类。通过松口蘑与红菇蜡伞子实体干品香气成分的比较分析可为市售的2种产品的快速检验鉴别奠定理论基础。

玉米蛋白粉制备羊肉味风味料的工艺研究及风味成分分析

以玉米蛋白粉酶解液,控制氧化羊脂,D-木糖为主要原料,研究美拉德反应制备羊肉味风味料的最优工艺,并对羊肉味风味料的风味成分及可接受性进行分析。在单因素试验基础上,利用正交试验确定羊脂控制氧化的最优工艺及美拉德反应最佳反应条件;顶空固相微萃取-气相色谱质谱法(headspace solid-phase microextraction-gas chromatography-mass spectrometer,HS-SPME-GC-MS)测定羊肉味风味料的风味成分;模糊综合评价法确定了羊肉味风味料的可接受性。结果表明,羊脂控制氧化最优工艺为反应时间4. 0 h,温度135℃,通气量0. 30m^3/(kg·h);美拉德反应最佳反应条件为温度120℃,初始pH 6. 5,反应时间2 h;羊肉味风味料挥发性成分共检出24种风味物质,其中杂环类9种(88. 93%)、酸类6种(4. 98%)、酮类3种(0. 58%)、醛类2种(0. 61%)、酯类1种(0. 14%)、酚类1种(2. 12%)、胺类1种(0. 36%)(质量分数);模糊矩阵的综合评价结果表明人们对羊肉味风味料的喜欢比例为69%。

酱香型大曲的挥发性组分时空性特征的分析

6种不同酱香型大曲的理化参数及挥发性组分的研究结果表明,酱香型大曲的挥发性组分具有显著的时空性特征(大曲生产地点和储存时间)。酱香型大曲主要挥发性组分包括芳香族、酯类、含氮化合物等。基于挥发性组分对不同类型的酱香型大曲进行主成分分析(principal components analysis,PCA)和聚类分析等统计分析,能有效地辨析其时空性特征。酱香型大曲生产地域之间的差异能够显著改变主要挥发性组分的种类,而相同地域不同生产企业和不同生产地点的酱香型大曲中的挥发性组分含量也差异较大。茅台原产曲的曲心和曲表的含氮化合物类挥发性组分的比例分别是52.83%和22.05%,其中较高的吡嗪类含氮组分是茅台原产曲的重要特征,而源于其他生产域的酱香型大曲中挥发性组分则以酯类为主(51.55%~79.49%)。同时酱曲主要挥性发组分种类及含量因陈曲时间而异。