石油化工废水中十种有机组分的气相色谱分析

采用直接进样气相色谱法分析了石油化工工业废水中的三氧丙烷、苯、甲苯、间二甲苯、苯乙烯、乙腈、三氯丙烯、环氧氯丙烷、甲醇和环已酮等十种有机组分的含量。本方法具有简单、快速、准确、不使用有机溶剂萃取等特点,具有一定的使用价值。     

空气中丙溴磷的采样及气相色谱分析

丙溴磷（Profenofos）是一种新型的广谱杀虫剂，用于防治棉花、蔬菜等作物上的害虫，随着它的应用日趋广泛，必须会造成对空气等自然环境的污染。本文采用聚酰胺吸附剂管采集空气中的丙溴磷，用火焰光度检测的气相色谱法测定其含量，并乾地了采样方法、采样效率、解吸效率、采样稳定性研究。     

二极管矩阵检测器在开发多环芳烃HPLC方法中的应用

二极管矩阵检测器(PDA)作为紫外检测器的成员,不仅可获得色谱数据,同时得到被分析物质的光谱图,并且可以利用物质的光谱差异确定色谱峰的纯度.Waters高灵敏度996 PDA检测器具有杰出的数字与光谱分辨率,其强大的功能使之成为色谱工作者进行方法开发的有力工具.     

化工废水中甲醇,乙醛的色谱分析

用ＧＤＸ－１０１（８０￣１００目）不锈钢填充性，氢焰检测器，直接进样，可将甲醇，乙醛、乙醇等分离，方法简便快速。     

钻屑法测定煤层H_2S含量

为了测定煤层硫化氢(H2S)含量,防治矿井H2S涌出,提出一种通过钻屑法测定煤层H2S含量的方法。在未受采动影响的新鲜煤壁,采用钻屑法取样,通过测定煤样H2S解吸量、取样过程损失量和H2S残存量确定煤层H2S含量。根据溶于水中H2S的p H值和色谱分析解吸气体中H2S体积分数,确定H2S解吸量;根据煤样解吸规律和气样H2S体积分数,确定H2S损失量;根据色谱分析残存气体中H2S体积分数,确定其残存量。用此方法,对山西某矿H2S涌出煤层进行现场和实验室测定。研究表明,该矿H2S含量为(4.465~6.701)×10-3m3/t。钻屑法测定煤层H2S含量是可行的,可以为矿井H2S治理提供基础数据。     

聚合物涂层纤维材料为固定相填充毛细管气相色谱及其在样品预处理中的应用

1　IntroductionGaschromatography(GC)isoneofthemostpopularseparationmethodsfortheanalysisofvolatilecompounds,andawidevarietyofpolymericmaterialsasthestationaryphases,havebeendeveloped .Incontrasttothesuccessfulapplicationsandsubsequentcommercializationofth…     

硝基化合物的高效液相色谱(HPLC)分析

硝基化合物是炸药废水的主要成分,大部分硝基化合物具有较高的毒性.本文对奥克托今、黑索今、1,3,5-三硝基苯、1,3-二硝基苯、硝基苯、2,4,6-三硝基甲苯、2-氨基-4,6-二硝基甲苯、2,4-二硝基甲苯共8种硝基化合物的紫外光谱和液相色谱分离条件进行了研究,其最佳检测波长分别为228 nm、227 nm、227 nm、237 nm、272 nm、230 nm、226 nm、244 nm.本文建立了8种硝基化合物的高效液相色谱测定方法,色谱条件为:色谱柱为ZORBAX SB-C18(3.0 mm×250 mm,5μm),检测器为紫外检测器,流动相为甲醇-水(50∶50),流速为0.5 mL.min-1.水中8种硝基化合物可以在13 min内得到较好的分离,检出限均≤0.8 ng,回收率大于95%.     

使用双三元梯度液相色谱(DGLC)——让工作变得更简单

液相色谱技术在经过长时间有关速度的讨论后,开始逐渐同归到关注液相的实用,说到底,一个技术的好坏优劣还是要看它解决实际问题的能力.美困戴安公司一向以离子色谱著称于世,近十年开始在液相色谱技术方面也不断推出新的技术,UltiMate3000双三元梯度液相色谱(DGLC)就是在近年来推出的最实用的液相色谱技术.     

使用碳酸根去除装置(CRD)减小阴离子测定中碳酸根的干扰

由于大气中二氧化碳的溶解从而使得水或者水溶液中必然存在碳酸根.当使用离子色谱法而以氢氧化物和硼砂为淋洗液来分析样品时,样品中的碳酸根会与待测离子(如亚硝酸根、溴、硫酸根或高氯酸根)共淋洗从而干扰其定量.     

Changes in soil microbial community structure associated with two types of genetically engineered plants analyzing by PLFA

With the rapid expansion of GEPs(genetically engineered plants), people are more and more concerned about the ecological risks brought by their release. Assessing the effect of GEPs on soil microbial ecology is indispensable to study their ecological risks. In our study, the phospholipids fatty acid(PLFA) method was used to analyze the microbial community of soil samples collected from fields with two types of GEPs-Bt transgenic com and PVY( potato virus Y) cell protein gene transgenic potato. The principal components analysis(PCA) showed all controls were on the right of related GEPs samples along the PC1 (the first principal component) axis, which means a decrease of fungi in soils with genetically engineered crop since most of PLFAs that are strongly positively correlated with PC1 represent fungi. For samples collected from Bt transgenic cornfield, the ratios of gram-positive to gram-negative bacteria were less than those of controls. For samples of transgenic potato field, these ratios were lower than those of controls when soils were collected from deep layer(20-40 cm), but were higher when soils collected from surface layer(0-20 cm). For soils collected from 0-20 cm, the ratios of fungi to bacteria for all GEPs samples were at the same level. So were such rations for all controls. Changes of soil microbial community in two types of GEPs fields were detected in our study, but the causes and more information still needs further study.