[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) com...[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.展开更多
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 com...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.展开更多
为探究广叶绣球菌采后聚丙烯膜包装在4℃贮藏期间、热风干燥、冷冻干燥挥发性风味物质变化,采用顶空固相微萃取结合气相色谱-质谱联用技术(headspace solid phase microextraction combined with gas chromatographymass spectrometry,H...为探究广叶绣球菌采后聚丙烯膜包装在4℃贮藏期间、热风干燥、冷冻干燥挥发性风味物质变化,采用顶空固相微萃取结合气相色谱-质谱联用技术(headspace solid phase microextraction combined with gas chromatographymass spectrometry,HS-SPME-GC-MS)进行检测和分析。结果表明,新鲜的广叶绣球菌中共检测出30种挥发性物质,主要的成分为1-辛烯-3-醇、3-辛醇和反式-2-辛烯-1-醇。与鲜菇相比,聚丙烯膜包装贮藏期间挥发性风味成分的种类有所增加。鲜菇到贮藏第21 d其整体风味成分较为接近,以醇类化合物为主;而第28~49 d风味成分则以酮类和醇类化合物为主。热风干燥后检出66种挥发性物质,其中5-甲基-2-乙酰基呋喃的相对含量最高(58.693%);冷冻干燥后检出40种挥发性物质,其中以3-辛醇为主的醇类物质和以3-辛酮为主的酮类物质相对含量较高,分别为41.567%和45.723%。鲜菇经热风干燥后整体风味成分差异较大,经冷冻干燥后其整体风味较为接近。由此可知,广叶绣球菌聚丙烯膜包装贮藏28 d内能较好保持原有风味;相对于热风干燥,冷冻干燥能较好保持广叶绣球菌原有风味。本研究有助于深入了解广叶绣球菌风味特征,并根据挥发性成分变化规律可有效区分不同贮藏时期,为后续保鲜方法的改进和综合开发利用提供一定的理论基础。展开更多
基金Supported by Key Science and Technology Project of Gansu Province(1302NKDA028)Science and Technology Planning Project of Lanzhou(2010-1-239+2 种基金 2016-3-4)Talent Project of Lanzhou Science and Technology Bureau(2015-RC-87)Project of Science and Technology Cooperation between Gansu Academy of Agricultural Sciences and Local Areas(2017GAAS63)
文摘[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.
文摘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.
