GC—MS分析不同方法提取的大黄挥发性成分

分别采用顶空进样法和超临界CO2萃取法提取大黄挥发性成分,采用GC-MS结合保留指数进行检测分析。顶空进样法分析鉴定出8种挥发性成分,超临界CO2萃取法鉴定出15种挥发性成分。两种提取方法分别侧重于不同类型的挥发性成分,利用GC-MS结合保留指数进行定性分析,更快速准确。     

烟用香精中风味成分的提取条件的优化与测定

分别采用溶剂萃取、同时蒸馏萃取、固相微萃取和水蒸汽蒸馏等4种方法提取烟用香精B3样品中的挥发性和半挥发性风味成分，并采用信息量和重现性两个指标考察最优提取方案。正己烷溶剂萃取法具有相对较高的信息量和理想的重现性。通过GC和GC-MS进行定性定量分析，共鉴定了34种成分，定性了的成分占总成分的85．4％。     

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。     

水蒸气蒸馏提取与顶空进样GC-MS分析高良姜挥发性成分

比较了水蒸气蒸馏法和顶空加热法提取高良姜挥发性成分的方法,并进行GC-MS分析。结果表明,两种提取方法无论在成分还是其相对含量均存在一定的差异。采用顶空进样技术可鉴定出31个挥发性化学成分,采用水蒸气蒸馏法可鉴定出31个挥发性化学成分,两种方法共有成分为16种。两种样品采集方法分别提供了高良姜不同沸点挥发物的化学信息,运用这两种方法可以建立更全面的高良姜挥发性成分GC-MS表征体系。     

顶空固相微萃取-气相色谱-质谱法用于白术中挥发性成分的分析

采用顶空固相微萃取-气相色谱-质谱法(HS-SPME-GC-MS)分离鉴定了白术中的挥发性成分,并与采用传统的水蒸气蒸馏法(SD)提取的挥发性成分进行了比较。实验中筛选了固相微萃取纤维头,优化了SPME的操作条件。样品在70 ℃下平衡30 min后,用65 μm聚二甲基硅氧烷-二乙烯基苯(PDMS-DVB)纤维头对白术样品顶空吸附30 min,于250 ℃下解吸4 min, 然后采用GC-MS对解吸物进行分离鉴定;采用HS-SPME-GC-MS鉴定出41种组分,占总峰面积的90.81%;采用SD-GC-MS鉴定出31个组分,占总峰面积的88.19%,且采用SD所提取的组分基本上都被固相微萃取所提取。结果表明, HS-SPME可取代耗时的SD用于白术中挥发性物质的提取。     

固相微萃取气质联用技术对卷烟烟丝和卷烟烟气总粒相物中挥发性和半挥发性成分的研究

采用固相微萃取－气相色谱－质谱（SPME－GC－MS）法对成品卷烟烟丝和卷烟烟气总粒相物中挥发性和半挥发性成分进行了分析鉴定，并对鉴定出的70种成分和96种成分进行了比较。     

中药党参挥发性成分分析

采用“乙醚冷浸－索氏提取－水蒸汽蒸馏”方法对党参中挥发性成分进行提取,用ＧＣ分离,加标定性和ＧＣ－ＭＳ联用鉴定其组分。分离出２６８种化合物,鉴定出６４种。     

张裕XO级白兰地挥发性成分的提取分离与鉴定

建立了一套对白兰地挥发性物质进行预处理的方法,并采用气相色谱-质谱法(GC-MS)较全面地鉴定了白兰地的挥发性成分。实验先采用液-液萃取方法提取张裕XO级白兰地的挥发性成分,然后将酸性成分与碱性和中性成分分离,再采用柱色谱分离手段将其分离为若干个级分并浓缩,采用气相色谱-质谱、标准品比对、保留指数(RI)值比较等方法对分离得到的各级分中的成分进行了鉴定,在白兰地中共鉴定出302种挥发性成分,包括醇30种、醛酮类35种、酸类20种、酯类104种、苯同系物及其衍生物24种、酚类14种、缩醛14种、呋喃类16种、萜烯类22种和其他物质23种。结果表明,采用这套预处理方法能将白兰地的挥发性成分较有效地分组和浓缩。     

干黄芪中挥发性成分的提取与分析

为了确定干黄芪的特征香气成分,采用同时蒸馏萃取法对干黄芪中的挥发性成分进行提取,并考察了原料用量、浸泡时间和提取时间三个因素对结果的影响。在较优条件下对干黄芪中的挥发性成分进行提取,提取物通过GC-MS分析,结合计算保留指数和NIST11谱库检索,共鉴定出65种挥发性成分,其中包括醛类20种、醇类9种、烃类7种、酚类5种、酯类5种、杂环类5种、酮类4种、酸类2种、其他类8种。其中正己醛、2-戊基呋喃、丁香酚、正己醇、1-辛烯-3-醇、糠醛等挥发性成分对干黄芪的特征香气贡献较大。     

顶空-固相微萃取法与水蒸气蒸馏法提取沙棘挥发油组分的比较研究

优化了顶空-固相微萃取法(HS-SPME)提取沙棘挥发性成分的条件,并采用气相色谱-质谱联用技术(GC-MS)分别对HS-SPME法和水蒸气蒸馏法(SD)的提取物进行分析。结果显示,在萃取温度为70℃,萃取时间为50 min,解吸时间为7 min,平衡时间为20 min条件下,HS-SPME法鉴定出76种组分,占挥发性物质总量的90.19%,主要成分为酯类、醛类和酮类;而SD法提取物共鉴定出56种组分,占挥发性物质总量的91.98%,主要成分为酯类。2种方法共有组分为20种。两种方法提取的沙棘挥发油组分的种类及含量差异较大,HS-SPME法更适合沙棘挥发性组分的快速检测。     

模式识别法分析5种植物油脂

通过模式识别方法区分花生油、大豆油、米糠油、棕榈油和菜籽油。采用气相色谱法分析5种植物油脂的脂肪酸,用面积归一化法计算每个植物油脂样品的各脂肪酸相对含量。以每个植物油脂中9个脂肪酸的相对含量为变量,采用SPSS13.0软件的模式识别技术对119个植物油脂样品进行区分。由主成分分析图可知,花生油、大豆油、米糠油、棕榈油和菜籽油被清晰地分为5组。判别分析建立的判别方程能较好地实现样品的判别,自身验证和交互验证的准确率均为100%。另取每种植物油脂各5个样品(共25个)进行验证,识别准确率为100%。对调和有棕榈油的花生油进行主成分分析,在主成分分析图上,调和油的分布点在花生油分布区域与棕榈油分布区域之间。     

Microscopic observation and characterization of the oil bridge between dehulled-roasted sesame seeds

The formation of an oil bridge between adhesive seeds was observed microscopically. The geometry of the oil bridge was affected by the shape of the adhesive seeds. The capillary force of the oil bridge was estimated from the image captured by the microscope. The average capillary force was 127 μN, which was five times higher than the average gravity of the seeds. It was observed that several oil bridges formed between two seeds. These results indicated an adequate ability of the seeds to adhere. The capillary force of the oil bridge increased with surface oil content. The probability of formation of an oil bridge increased with surface oil content when the surface oil content was above 0.63%. The probability of formation of an oil bridge markedly increased when sucrose was added to the seeds.     

应用校正变换矩阵法识别掺伪食用油

根据食用油中脂肪酸、甾醇以及生育酚含量,应用校正转换矩阵法对花生油掺伪进行了定量检测。用所建立的校正模型对棕榈油、菜籽油和棉籽油掺入到花生油所得到的２７个二元和６个四元人工合成样品进行了验证,结果令人满意。对从市场上购得的５种花生油进行了测定,其中一种是由菜籽油假冒的花生油,另一种为掺入花生精油的棕榈油。     

取样量对润滑油中微量水分检测结果的影响

研究取样量对润滑油中微量水分测定结果的影响。基于卡尔·费休滴定法,在选定的测量条件下,用发生电极为有隔膜的自动库仑水分仪对基础油、有机热载体油、压缩机油、膨胀机油等新油和发动机油、汽轮机油、涡轮机油、压缩机油、齿轮油、液压油、导热油、船用油、电器绝缘油、风动工具油、金属加工油等在用油在0.1~2.0 g内各取9组不同质量的样品进行测定,得到了润滑油中微量水分准确测定所需的取样量。实验结果表明,新油取样量大于1.0 g,在用油取样量在1.0~1.5 g范围内,可以准确测定润滑油中微量水分含量。测定结果的相对标准偏差为0.83%~3.51%(n=10),样品加标回收率为95.0%~103.0%。在选择的取样量下,该方法具有良好的精密度、准确度,可连续测定多个样品,满足测定需求。     

Production and Characterization of Biodiesel from Tung Oil

The feasibility of biodiesel production from tung oil was investigated. The esterification reaction of the free fatty acids of tung oil was performed using Amberlyst-15. Optimal molar ratio of methanol to oil was determined to be 7.5:1, and Amberlyst-15 was 20.8wt% of oil by response surface methodology. Under these reaction conditions, the acid value of tung oil was reduced to 0.72mg KOH/g. In the range of the molar equivalents of methanol to oil under 5, the esterification was strongly affected by the amount of methanol but not the catalyst. When the molar ratio of methanol to oil was 4.1:1 and Amberlyst-15 was 29.8wt% of the oil, the acid value decreased to 0.85mg KOH/g. After the transesterification reaction of pretreated tung oil, the purity of tung biodiesel was 90.2wt%. The high viscosity of crude tung oil decreased to 9.8mm²/s at 40 °C. Because of the presence of eleostearic acid, which is a main component of tung oil, the oxidation stability as determined by the Rancimat method was very low, 0.5h, but the cold filter plugging point, −11 °C, was good. The distillation process did not improve the fatty acid methyl ester content and the viscosity.     

傅里叶变换红外光谱法对掺假橄榄油的快速鉴别

利用衰减全反射傅里叶红外光谱法对掺假橄榄油进行了快速鉴别研究。对掺入转基因大豆油、非转基因大豆油、花生油、玉米油、葵花籽油、调和油等的橄榄油采用160℃高温加热8h处理,通过观察样品加热前、后二阶导数光谱在988cm-1处特征吸收峰的吸光度变化,准确鉴别橄榄油是否掺假。该方法操作简便、前处理无需有机试剂,可作为市场筛查掺假橄榄油的快速鉴别方法。     

Analysis of olive and hazelnut oil mixtures by high-performance liquid chromatography-atmospheric pressure chemical ionisation mass spectrometry of triacylglycerols and gas-liquid chromatography of non-saponifiable compounds (tocopherols and sterols)

We analysed the triacylglycerol, tocopherol and sterol composition of hazelnut oil, olive oil and their mixtures (90% olive oil with 10% hazelnut oil, 70% olive with 30% hazelnut oil and 50% olive oil with 50% hazelnut oil). The main triacylglycerols were 1,2,3-trioleylglycerol, 2,3-dioleyl-1-palmitoylglycerol, 2,3-dioleyl-1-linoleylglycerol and 2,3-dioleyl-1-stearoylglycerol. Non-saponfiable compounds (tocopherols and sterols) were derivatised as O-trimethylsilyl ethers. Alpha-tocopherol was the main vitamin E isomer in all samples; however, small amounts of beta-tocopherol and gamma-tocopherol were also found. Beta-sitosterol and delta5-avenasterol were the principal sterols in all samples; campesterol and stigmasterol were minor sterol compounds in all samples. Obtusifoliol, which was a major sterol in olive oil and oil mixtures, was not found in hazelnut oil. The discriminant analysis showed that hazelnut oil, olive oil and oil mixtures were clearly separated according to their triacylglycerol composition.     

基于费谢尔判别法的原油、燃料油鉴别技术研究

对原油、燃料油的鉴别方法进行了研究.以来自不同国家和地区的30个原油样品以及不同产地、不同种类的24个燃料油样品中的正构烷烃(n-C7～30)、植烷(Ph)、姥鲛烷(Pr)的含量构成训练集.借助SPSS 16.0进行费谢尔(Fisher)判别分析,建立Fisher判别函数.将判别变量值代入后,得到样本的空间位置,再计算样本至各组重心的距离,据此判断分类情况.结果表明,Fisher判别法可以很好地用于原油和燃料油的鉴别,具有快速、准确等特点.     

柴油溶剂中脂肪酶催化高酸值废油脂酯化制备生物柴油

采用0＃柴油作为反应溶剂,利用固定化脂肪酶催化高酸值废油脂与甲醇酯化反应制备生物柴油。来源于Candida antarctica的固定化脂肪酶Novozym435在0＃柴油溶剂中具有极高的催化活性。以酸价高达157×10-3的废油脂为原料,废油脂质量比10%的Novozym435,甲醇与废油脂初始摩尔比2∶1,0＃柴油与废油脂质量比5∶1,摇床摇速170r/min,50℃下反应2h甲酯化率可达95.10%。0＃柴油作为反应溶剂有效地溶解了高酸值废油脂和甲醇,降低了反应体系的黏度和消除了甲醇对Novozym435的负面影响,提高了Novozym435的稳定性。同时,0＃柴油溶剂对未脱胶废油脂中残留的对脂肪酶有害的磷脂等胶类物质具有一定的稀释作用。该工艺省却了溶剂蒸馏的繁琐工序,直接得到脂肪酸甲酯和石化柴油的混合燃料。     

二硫代氨基甲酸盐的除油机理及pH值对其除油性能的影响

絮体;二硫代氨基甲酸盐的除油机理及pH值对其除油性能的影响