A method involving Headspace solid-phase microextraction (HS-SPME) fiber combined with gas chromatography (GC) coupled with flame ionization detection (FID) and gas chromatography with mass spectrometry (GC-MS) was de...A method involving Headspace solid-phase microextraction (HS-SPME) fiber combined with gas chromatography (GC) coupled with flame ionization detection (FID) and gas chromatography with mass spectrometry (GC-MS) was developed and optimized to investigate volatile organic compounds (VOCs) from different tissues (flowers, leaves, stems, rhizosphere and whole plants) of Floribunda and Hybrid Tea roses (intact and cut). Three-phase fiber 50/30 μm divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) was used. Two types of chambers (Tedlar bag and glass jar) were evaluated for collection of VOCs and glass jar was selected. Absorbed compounds on the fiber were completely desorbed in the GC injector port at three desorption times (5, 10 and 15 min), and 5 min at 250?C was used. The maximum extraction efficiency for flowers tissues (equilibrium absorption) was achieved 2 h after fiber exposure in the headspace for intact and cut Floribunda and Hybrid Tea flowers. Under the optimized HS-SPME and GC-FID/MS conditions, 1h extraction time was chosen for intact and cut Floribunda and Hybrid Tea leaves and stems. The results demonstrated that 5 cm depth was selected for root and soil part (rhizosphere) for both rose cultivars, and 6 h and 12 h extraction time of VOCs from rhizosphere was achieved for Floribunda and Hybrid Tea, respectively. One hour was chosen for VOCs released from whole rose plants for both cultivars. In this study, the VOC profiles of two rose cultivars were characterized by the optimized HS-SPME-GC method. The different tissues of rose plants gave wide range of the VOCs;also the chromatograms of different cultivars were quite different and the specific VOC pattern of rose types depends on the species. Results from this study demonstrate the feasibility of this method for identifying VOCs from two rose cultivars and the potential use of this method for physiological studies on rose plants or on other floriculture plants.展开更多
该研究采用人工感官评价、顶空气相色谱火焰离子化检测器法(headspace gas chromatography with flame ionization detection,HS-GC-FID)、顶空固相微萃取气相色谱-质谱联用技术(headspace solid phase microextraction gas chromatogra...该研究采用人工感官评价、顶空气相色谱火焰离子化检测器法(headspace gas chromatography with flame ionization detection,HS-GC-FID)、顶空固相微萃取气相色谱-质谱联用技术(headspace solid phase microextraction gas chromatography-mass spectrometry,HS-SPME-GC-MS)及顶空固相微萃取-全二维气相色谱-飞行时间质谱(headspace solid phase microextraction-comprehensive two-dimensional gas chromatograph-time of flight mass spectrometer,HS-SPME-GC×GC-TOFMS)技术对国内6种品牌的Lager啤酒的特征香气成分进行了分析。通过HS-SPME-GC×GC-TOFMS技术对6种啤酒中的香气化合物进行了全面检测及半定量分析,分别测出520、520、519、522、518、513种物质,并首次在Lager啤酒中测出罗勒烯、白铃兰醇、桃醛等化合物。通过HS-GC-FID及HS-SPME-GC-MS技术共定量了61种香气成分,其中酯类24种、醇类14种、醛类10种、酸类6种、酮类3种、酚类2种、含S及含O杂环化合物各1种。结合多元变量统计分析方法,通过一维色谱发现主要差异物质为异戊醇、苯乙醇、乙酸乙酯等,通过HS-SPME-GC×GC-TOFMS的相对定量结果进一步表明,差异物质还体现在2,3-丁二醇硝酸酯等含N化合物及(E)-β-金合欢烯、罗勒烯等其他共计100种化合物上。此外,通过多元统计学、气味活性值结合皮尔森相关性分析发现,啤酒麦芽香高低与菠萝酮的含量高低相关,酒花香与芳樟醇、乙酸芳樟酯的含量相关,花香、酯香与乙酸乙酯、辛酸乙酯、乙酸苯乙酯等的含量相关,醇香与异丁醇的含量相关,异香与柠檬醛、壬醛的含量相关。通过二维结合正交偏最小二乘-判别分析还发现,麦芽香还与2,3-丁二醇硝酸酯,1,2-丙二醇硝酸酯等含N化合物相关。展开更多
采用气相色谱-氢火焰离子化检测器法(gas chromatography with hydrogen flame ionization detection,GCFID)、顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction coupled with gas chromatography-mass spectrometr...采用气相色谱-氢火焰离子化检测器法(gas chromatography with hydrogen flame ionization detection,GCFID)、顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry,HS-SPME-GC-MS)和电子鼻技术分析6种果酒中的挥发性成分,评价果酒风味轮廓特征的差异性。结果表明,GC-FID定量测定樱桃李酒,其中异戊醇、活性戊醇、β-苯乙醇含量最高,乙酸乙酯含量最低;木瓜酒中正丙醇、2,3-丁二醇、癸酸乙酯、乙酸含量最高; 3-羟基-2-丁酮含量在樱桃李酒中最高,山楂酒、甜橙酒中最少。HP-SPME-GC-MS鉴定果酒中挥发性物质94种,其中醇类23种,酯类43种,醛酮类10种,酸类8种,酚类2种,苯环类5种,烷烃类3种。山楂酒、菠萝酒、木瓜酒、甜橙酒、无花果酒和樱桃李酒中香气物质数量分别为34、44、45、45、33、47种。其中山楂酒、木瓜酒和无花果酒中未检出酚类、烷烃类物质。电子鼻对不同果酒香气的区分效果无重叠,W5S传感器区分果酒香气能力最强。比较而言,菠萝酒和樱桃李酒的口感更圆润,香气更愉悦,感官得分最高。展开更多
文摘A method involving Headspace solid-phase microextraction (HS-SPME) fiber combined with gas chromatography (GC) coupled with flame ionization detection (FID) and gas chromatography with mass spectrometry (GC-MS) was developed and optimized to investigate volatile organic compounds (VOCs) from different tissues (flowers, leaves, stems, rhizosphere and whole plants) of Floribunda and Hybrid Tea roses (intact and cut). Three-phase fiber 50/30 μm divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) was used. Two types of chambers (Tedlar bag and glass jar) were evaluated for collection of VOCs and glass jar was selected. Absorbed compounds on the fiber were completely desorbed in the GC injector port at three desorption times (5, 10 and 15 min), and 5 min at 250?C was used. The maximum extraction efficiency for flowers tissues (equilibrium absorption) was achieved 2 h after fiber exposure in the headspace for intact and cut Floribunda and Hybrid Tea flowers. Under the optimized HS-SPME and GC-FID/MS conditions, 1h extraction time was chosen for intact and cut Floribunda and Hybrid Tea leaves and stems. The results demonstrated that 5 cm depth was selected for root and soil part (rhizosphere) for both rose cultivars, and 6 h and 12 h extraction time of VOCs from rhizosphere was achieved for Floribunda and Hybrid Tea, respectively. One hour was chosen for VOCs released from whole rose plants for both cultivars. In this study, the VOC profiles of two rose cultivars were characterized by the optimized HS-SPME-GC method. The different tissues of rose plants gave wide range of the VOCs;also the chromatograms of different cultivars were quite different and the specific VOC pattern of rose types depends on the species. Results from this study demonstrate the feasibility of this method for identifying VOCs from two rose cultivars and the potential use of this method for physiological studies on rose plants or on other floriculture plants.
文摘该研究采用人工感官评价、顶空气相色谱火焰离子化检测器法(headspace gas chromatography with flame ionization detection,HS-GC-FID)、顶空固相微萃取气相色谱-质谱联用技术(headspace solid phase microextraction gas chromatography-mass spectrometry,HS-SPME-GC-MS)及顶空固相微萃取-全二维气相色谱-飞行时间质谱(headspace solid phase microextraction-comprehensive two-dimensional gas chromatograph-time of flight mass spectrometer,HS-SPME-GC×GC-TOFMS)技术对国内6种品牌的Lager啤酒的特征香气成分进行了分析。通过HS-SPME-GC×GC-TOFMS技术对6种啤酒中的香气化合物进行了全面检测及半定量分析,分别测出520、520、519、522、518、513种物质,并首次在Lager啤酒中测出罗勒烯、白铃兰醇、桃醛等化合物。通过HS-GC-FID及HS-SPME-GC-MS技术共定量了61种香气成分,其中酯类24种、醇类14种、醛类10种、酸类6种、酮类3种、酚类2种、含S及含O杂环化合物各1种。结合多元变量统计分析方法,通过一维色谱发现主要差异物质为异戊醇、苯乙醇、乙酸乙酯等,通过HS-SPME-GC×GC-TOFMS的相对定量结果进一步表明,差异物质还体现在2,3-丁二醇硝酸酯等含N化合物及(E)-β-金合欢烯、罗勒烯等其他共计100种化合物上。此外,通过多元统计学、气味活性值结合皮尔森相关性分析发现,啤酒麦芽香高低与菠萝酮的含量高低相关,酒花香与芳樟醇、乙酸芳樟酯的含量相关,花香、酯香与乙酸乙酯、辛酸乙酯、乙酸苯乙酯等的含量相关,醇香与异丁醇的含量相关,异香与柠檬醛、壬醛的含量相关。通过二维结合正交偏最小二乘-判别分析还发现,麦芽香还与2,3-丁二醇硝酸酯,1,2-丙二醇硝酸酯等含N化合物相关。
文摘采用气相色谱-氢火焰离子化检测器法(gas chromatography with hydrogen flame ionization detection,GCFID)、顶空固相微萃取-气相色谱-质谱(headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry,HS-SPME-GC-MS)和电子鼻技术分析6种果酒中的挥发性成分,评价果酒风味轮廓特征的差异性。结果表明,GC-FID定量测定樱桃李酒,其中异戊醇、活性戊醇、β-苯乙醇含量最高,乙酸乙酯含量最低;木瓜酒中正丙醇、2,3-丁二醇、癸酸乙酯、乙酸含量最高; 3-羟基-2-丁酮含量在樱桃李酒中最高,山楂酒、甜橙酒中最少。HP-SPME-GC-MS鉴定果酒中挥发性物质94种,其中醇类23种,酯类43种,醛酮类10种,酸类8种,酚类2种,苯环类5种,烷烃类3种。山楂酒、菠萝酒、木瓜酒、甜橙酒、无花果酒和樱桃李酒中香气物质数量分别为34、44、45、45、33、47种。其中山楂酒、木瓜酒和无花果酒中未检出酚类、烷烃类物质。电子鼻对不同果酒香气的区分效果无重叠,W5S传感器区分果酒香气能力最强。比较而言,菠萝酒和樱桃李酒的口感更圆润,香气更愉悦,感官得分最高。
