基于静态顶空-GC/MS的加热卷烟用滤嘴载香颗粒评价研究

【目的】建立一种基于静态顶空-GC/MS的加热卷烟用滤嘴载香颗粒评价方法。【方法】采用静态顶空-GC/MS考察不同温度下4种载香颗粒中12种香味成分的释放行为,通过CH2Cl2萃取和GC/MS分析添加4种载香颗粒的加热卷烟主流烟气中香味成分释放量验证静态顶空-GC/MS评价结果。【结果】载香颗粒在加热卷烟实际抽吸降温段可达的温度范围内,有10种香味成分静态顶空中释放规律与加热卷烟主流烟气中释放规律完全一致,香茅醇和庚酸在60℃~120℃下静态顶空中释放规律与主流烟气释放规律完全一致;通过静态顶空-GC/MS方法优选适用于加热卷烟载香颗粒结果与测定主流烟气中香味成分优选载香颗粒结果一致。【结论】在降温段实际温度范围内,采用静态顶空-GC/MS考察载香颗粒中香味成分释放行为,可有效表征和评价不同颗粒载香赋香能力,实现加热卷烟用滤嘴载香颗粒的快速质量评价。

顶空-GC/MS法测定食品模拟物中的甲基丙烯酸甲酯

建立了以乙酸乙酯为内标测定食品模拟物中甲基丙烯酸甲酯含量的顶空-GC/MS法。对平衡温度和平衡时间进行了试验并对顶空条件予以优化。在1～50mg/L的质量范围内绘制标准曲线,同时加入内标溶液以提高测定的准确性。结果表明:在考察的浓度范围内线性关系良好,相关系数大于0.998;方法检出限为1mg/L,相对标准偏差为3.2%～5.1%,加标回收率为84.7%～105%。该方法操作简便、快速、结果准确,可以满足对食品模拟物中的甲基丙烯酸甲酯定性确证和定量分析。

顶空－GC法测定尿碘的研究

本文根据碘和硫酸二甲酯反应生成碘甲烷的原理，应用顶空ＧＣ法测定尿中的微量碘，无需消化处理等步骤，本文标准偏差为０．０８２～０．１２１，相对标准偏差为０．８％～３．１％，回收率为８６．６９％～９３．６３％。

车载顶空-气相色谱质谱法在水体挥发性有机污染物应急监测中的应用

建立了车载顶空-气相色谱质谱法(GC/MS)测定水中22种挥发性有机物(VOCs)的方法,顶空平衡温度和平衡时间的最优设置分别为80℃和30 min。该方法各目标化合物分离良好,在目标化合物质量浓度5~100μg/L范围内,线性良好,相关系数均>0.995,方法的检出限为1.16~2.88μg/L,RSD为7.71%~26.5%,加标回收率为52.3%~129%,能够满足应急监测工作的需要。

Essential Oil Composition of Endemic Pimpinella tunceliana YiId. from Turkey for the First Time

The objective of this study was to examine the essential oil ofPimpinella tunceliana Yild. growing wild in the Eastern part of Turkey for the first time. Obtained results were discussed with the genus patterns and natural products. The essential oil of P. tunceliana was analyzed by head space-solid phase microextraction （HS-SPME）/gas chromatography-mass spectrometry （GC-MS） technique, and 50 compounds were identified, representing 96.3% of the oil. The main constituents of P. tunceliana were β-caryophyllene （13.9%）, β-bisabolene （10.4%）, anethole （9.3%）, sabinene （7.5%）, limonene （6.9%） and germacrene D （6.8%）. In this study, essential oil contents of P. tunceliana that is a new and endemic species was studied for the first time, and important results were presented in respect to the composition of the oil of this new species of Pimpinella.

Analysis of Essential Oil in Mastic Gum （Pistachia lentiscus var, Chia） Using Head Space GC-MS

The essential oil and gum of Pistachia lentiscus var. Chia, commonly known as the mastic gum tree, are natural antioxidant and antimicrobial agents that have found extensive uses in food, beverages and medicine in recent years. In this work, the chemical composition of the hydro-distilled essential oil of mastic gum was evaluated by GC-MS （gas chromatography-mass spectrometry） technique and the majority of their components were identified. Twenty nine different compounds were identified and quantified. The gum oil contained monoterpene, hydrocarbons, sesquitepenes, and also oxygen-containing monoterpenes. The main constituents of the gum oil are ct-pinene which follow β-pinene and β-myrcene. Essential oil of mastic gum is valuable product in food industries and in folklore medicine due to its antimicrobial and antimutagenic activity. The aim of this study was to evaluate the principal congeners of these valuable natural ＂resin tears＂ of the tree which are used in flavoring liquors, food, pharmaceutical and cosmetic industries.

紫外-可见光谱技术在烟用爆珠内液化学成分稳定性分析中的应用

为研究烟用爆珠内液化学成分的稳定性,采用无水乙醇稀释爆珠内液,紫外-可见光谱(UV-vis)扫描,平滑后一阶导数预处理光谱,并结合主成分分析(PCA)方法研究了烟用爆珠内液化学成分与UV-vis的关系;建立了烟用爆珠内液稳定性表征模型,并对模型进行了验证。结果表明:①UV-vis能够对爆珠内液有特征吸收的化学成分进行表征;②当显著水平α=0.05时,6种不同牌号的爆珠样品内液表征模型对异常和正常样品的正确判别率均为100%;③结合聚类分析,UV-vis与GC/MS方法均能明显区分烟用爆珠内液正常样品与异常样品。该方法快速准确、经济环保,可用于烟用爆珠内液的质量监测。