室内可吸入颗粒物中的部分有机化合物

室内环境问题越来越引起关注,但是室内可吸入颗粒物中的有机化合物研究较少,尤其是其中的酯类物质,更是被研究者忽略.主要采用气相色谱法及色质联用法对采集的室内可吸入颗粒物样品进行分析,得出了颗粒物中的脂肪烃、芳香烃和酯类物质的种类及浓度,并且分析了这些有害物质的来源.     

快速溶剂萃取-气相色谱/串联质谱法测定农作物中的有机氯农药

建立快速溶剂萃取,固相萃取柱净化,气相色谱/串联四极杆质谱检测分析农作物中23种有机氯农药残留的方法。以油菜为样品,加标浓度为5、10、25、50μg/kg时,平均回收率在72%~101%之间,相对标准偏差3%~14%(n=5)。8种农作物(莴笋、黄瓜、蒜苗、辣椒、油菜、茄子、玉米和水稻)加标浓度为25μg/kg时的平均回收率在71%~113%之间,相对标准偏差3%~16%(n=5)。方法检出限0.75~1.76μg/kg之间。     

串联四极杆质谱(GC-QqQ-MS/MS)测定土壤中的邻苯二甲酸酯与多环芳烃

建立了用微波萃取(MAE)、固相萃取(SPE)净化、气相色谱,串联四极杆质谱(GC-QqQ-MS/MS)多反应监测同时测定土壤中16种多环芳烃和18种邻苯二甲酸酯的方法.通过优化前处理与分析条件,样品加标浓度在5μg/kg时的平均回收率在66.59%～122.07%之间,相对标准偏差均小于20%,邻苯二甲酸酯的检出限在0.04.0.84.ttg/kg之间.定量限在0.13～2.81μg/kg之间;多环芳烃的检出限在0.01～0.54μg/ks之间,定量限在0.02～1.81μS/kg之间,能够满足大量样品快速准确分析的需要.     

吹扫捕集-色质联机测定水中挥发性硫醚

采用吹扫捕集-色质联机测定水中挥发性硫醚,采用外标法,使用SIM模式对甲硫醚、乙硫醚和二甲二硫醚三种成分进行定量,方法的检出限分别为0.02、0.05和0.08μg/L,三种物质浓度在0.40~40μg/L范围内,测定结果有良好的线性,一次回归曲线的相关系数分别为0.9998、0.9999和0.9999。利用该方法对内河等实际样品进行分析,结果平行性良好,加标回收率在75.2%~88.4%之间。     

用于气相色谱分析的样品导入技术及其应用

综述了几种用于气相色谱分析的绿色环保型样品导入技术,如静态顶空技术、吹扫捕集技术、固相微萃取技术和热脱附技术的原理及应用情况,并对这几种方法进行了比较。     

气相色谱法测定水中的阿特拉津

以《水和废水监测分析方法》(第四版)提供的测定方法为基础,通过对色谱条件和预处理两方面的改进,采用带氮磷检测器的毛细管气相色谱仪测定水中的阿特拉津的含量,具有较好的精密度和准确度。     

莱州湾表层沉积物中多氯联苯的测定方法及分布特征探究

以加速溶剂萃取法 (ASE)、索氏提取法/气相色谱法测定了莱州湾表层沉积物中的12种PCBs的浓度水平,探讨了它的分布特征并将两种方法进行了对比;同时测定了渤海湾北部海域表层沉积物中PCBs的含量,与莱州湾进行了比较。结果表明,莱州湾海域表层沉积物检测出8种多氯联苯(PCBs),浓度范围是N.D.~48.40 ng ·g ^-1dw。该海域多氯联苯的分布特征是近岸高,离岸低,由近岸向湾外延伸方向依次递减;渤海湾PCBs的浓度范围是0.15~68.30 ng ·g ^-1dw,和莱州湾差别不大。索氏提取法测定12种多氯联苯类化合物的基质加标回收率为78.00%~104.85%,相对标准偏差为0.95%~3.64%;加速溶剂萃取法的基质加标回收率为90.00%~102.00%,相对标准偏差为0.65%~2.75%;相对于渤海湾北部海域而言,莱州湾区域只是受到轻度污染,属于低风险生态区,不会对生物产生毒副作用;而前者则处于中度污染水平,可能会对生物产生毒副作用。     

顶空-毛细管气相色谱法同步测定水中吡啶丙酮乙腈

建立了顶空-毛细管气相色谱测定水中吡啶丙酮乙腈的方法,不用有机溶剂萃取和浓缩,减少了损失和对环境的污染,具有灵敏度高、检出限低、定量准确、操作简便等特点。当取样量为5ml时,检出限可达到0.006~0.03mg/L级,相对标准偏差为1.0%~2.3%,加标回收率在78.0%~100.2%之间,完全适合水中吡啶丙酮乙腈的测定。     

The TNO multi-energy method combined to mathematical programming and computational fluid dynamics for optimisation of gas detectors

Gas leakage is a matter of concern for several industries such as oil and gas, mining, food, and healthcare. When the industry considers gas detectors, the main questions are: How many gas detectors are required? Where is the best location to install them? To answer these questions Computational Fluid Dynamics (CFD) simulations and optimisation procedures are employed to calculate the plume location and plume volume to better position the gas detectors. We investigated how the optimisation cell size for the set covering problem can be calculated based on a given explosion overpressure threshold. Resorted by the multi-energy explosion model, we calculate the flammable cloud volume associated with a pre-defined overpressure value. The cloud volume is applied in the solution of the set covering problem and an optimal set for the gas detectors is obtained. The final gas detector network (number and location of the devices) is validated against CFD simulations for small releases. The results provide evidence that the optimal gas detector networks is able to detect gas leaks within a feasible time.     

Experimental and computational fluid dynamic (CFD) simulation of leak shapes and sizes for gas pipeline

In this paper, a parametric study has been carried out to predict the exit velocity of air through the leakage in the pipe with the help of CFD software ANSYS Fluent. The effect of air pressure in the pipe and the shape of leakage have been studied. Further experiments were also carried out to determine the exit velocity for the defined shape of leakage by varying the air pressure in the pipe. Experimentally, the velocity at a distance of 8 cm from the location of a leak in the horizontal plane was obtained with the help of differential pressure transducers. Using the experimental results, the computational results were validated. The results of the parametric simulation study showed that even for a pressure of 2 bars the velocity profile at the leak location indicates the supersonic state where the Mach number is greater than 1. The study is useful because it may be used as a foundation for risk assessment and safety management in the case of flammable gas leaks through gas pipes.