环境空气中丙烯酸乙酯的气相色谱法测定

建立了环境空气中丙烯酸乙酯的TenaxGC吸附 -热解吸气相色谱测定方法。方法回收率为 87 3%～1 0 7 1 % ,变异系数为 5 3%～ 7 2 %。当采样体积为 2L时 ,检测限为 0 0 2mg/m3,具有采样时间短 ,不用任何溶剂等特点。     

河流沉积物中有机污染物的分析研究进展

总结了近年来河流沉积物中有机污染物的研究进展 ,集中评述了国内有关沉积物中多环芳烃、有机氯农药和多氯联苯的分析研究现状 ,包括样品采集、样品前处理和样品分析 ,并对今后河流、湖泊及水库沉积物中污染物的分析工作作了展望     

洹河水中痕量有机污染物的研究

采用固相萃取技术 ,对洹河水中痕量有机物进行富集 ,大量的地表水被 C1 8键合相萃取后 ,洗脱液经干燥浓缩用于 GC和 GC/MS分析 ,鉴定出 64种有机物 ,并对苯系物、杂环类等 2 7种主要污染物作了定量测定 ,得出有机物的沿途变化规律。     

GC-PID联用直接测定大气中痕量烃类化合物

作者把气相色谱仪(GC)与自行研制的光离子化检测器(PID)联用,实现了大气中痕量烃类化合物的直接测定,给出了仪器的构成和性能指标及测量结果.     

原子吸收光谱分析技术在环境,医学卫生和食品分析方面的应用

回顾了原子吸收光谱分析在我国环境、医学卫生和食品分析方面的应用概况。     

吡啶的气相色谱分析

试验了以气相色谱法、大口径弹性石英毛细管柱分离 ,NPD检测环境样品中吡啶 ,得到了良好的分离效果 ,峰形好 ,并有较高的灵敏度和较宽的线性范围 ,检测限可达 0 0 0 4mg/L ,完全能满足环境空气质量分析和水质分析的要求。     

水和废水中黄磷的测定

试验了黄磷在紫外光区的吸收光谱,建立了紫外分光光度法测定水和废水中黄磷的方法.该方法不需酸化、氧化,可在萃取后直接比色测定.当样品中含有石油类干扰物质时,可用含氧化剂的酸性水溶液对萃取液进行反萃取即能将其排除.该方法灵敏,具有测定范围宽、准确度高、精密度好、操作简便等特点.     

利用空气自动监测车仪器对空气自动监测站仪器进行质量保证及质量控制的可行性分析

通过对辖区内空气自动监测车仪器与4家公司空气自动监测站仪器的比对分析,得出了空气自动监测车仪器与空气自动监测站仪器的PM10、SO2、NO2相对误差分别为:-32.8%、4.4%、-8.7%,仪器之间显现出良好的线性关系,从比对结果来看,利用空气自动监测车对空气自动监测站进行质量保证和质量控制是可行的.     

G C/MS法测定环境空气中痕量POPs类有机氯农药及降解产物

采用快速溶剂萃取-氟罗里硅土柱净化-气相色谱/质谱联用法测定环境空气中POPs类有机氯农药及其降解产物.艾氏剂、狄氏剂、异狄氏剂、六六六、滴滴涕,七氯、氯丹、灭蚁灵及其降解产物的检出限为2.0 ng～4.6 ng,空白加标回收率为62.1%～118%,RSD为6.8%～15.2%.     

A New Approach to Plant Diversity Assessment Combining HPLC Data, Simplex Mixture Design and Discriminant Analysis

The quantitative assessment of plant diversity and its monitoring with time represent a key environmental issue for management and conservation of natural resources. Assessment of plant diversity could be based on chemical analyses of secondary metabolites (e.g. flavonoids, terpenoids), because of the substantial quantitative and qualitative between-individual variability in such compounds. At a geographical scale, the plant populations become widely dispersed, and their monitoring from numerous routine individual analyses could become restricting. To overcome such constraint, this study develops a multivariate calibration model giving the relative frequency of a particular taxon from a simple high-performance liquid chromatography (HPLC) analysis of a plant mixture. The model was built from a complete set of mixtures combining different taxons, according to an experimental design (Scheffé’s matrix). For each mixture, a reference HPLC pattern was simulated by averaging the individual HPLC profiles of the constitutive taxons. The calibration models, based on Bayesian discriminant analysis (BDA), gave statistical relationships between the contributions of each taxon in mixtures and reference HPLC patterns of these mixtures. Finally, these models were validated on new mixtures by using outside plants. This new biodiversity survey approach is illustrated on four chemical taxons (four chemotypes) of Astragalus caprinus (Fabaceae). The more differentiated the taxon, the better predicted its contributions (in mixtures) were by BDA calibration model. This new approach could be very useful for a global routine survey of plant diversity.