荧光光谱法研究有机污染物的环境行为

荧光光谱法作为一种测定痕量有机化合物和生化物质的高灵敏度和高选择性的测试手段 ,因其操作简单、运行成本低和非破坏性 ,在环境科学等方面得到了广泛的应用 .本文介绍了荧光光谱法研究PAHs与溶解态有机物间相互作用、同步荧光法研究溶解态PAHs的生物降解、荧光分析法直接研究溶解态PAHs的光降解以及用同步荧光法测定鱼胆汁中PAHs的代谢产物等几方面的工作 ,展示了荧光光谱法用于研究有机污染物的环境行为的应用前景     

FLOW-THROUGH MICROCUVETTE FOR FLUOROMETRIC DETERMINATION OF CHLOROPHYLL1

This paper describes a flow-through microcuvette for determination of chlorophyll with the Turner Designs model 10 fluorometer. The device approximately doubles the speed of repetitive chlorophyll determinations. With a single-standard calibration procedure, chlorophyll concentrations in the approximate range of 0.01-2.0 ug/mL (in solvent extracts) can be determined with a relative error of less than 3 percent.     

原子荧光光度法测定水中汞的不确定度分析

用原子荧光光度法对测定水中汞的不确定度进行分析,找出影响不确定的因素,对测量不确定度进行计算和评定,结果表明影响其测量不确定度主要因素是原子荧光光强度值带来的不确定度,其它因素是次要的.     

原子荧光光度法同时测定水中砷、硒的不确定度分析

对原子荧光光度法测定水样中砷、硒浓度的影响因素进行分析,对各因素的不确定度进行计算和评估。结果表明,影响其测量不确定度主要因素是原子荧光强度值带来的不确定度,其它因素是次要的。     

Evaluation of a fluorometric screening method for predicting total PAH concentrations in contaminated sediments

A fluorometric screening method was used to estimate total polycyclic aromatic hydrocarbon (t-PAH) concentrations in sediments collected from the St. Louis River Area of Concern (AOC) in northeastern Minnesota. Sediments were collected as part of a Regional Environmental Monitoring and Assessment Program (R-EMAP) study to assess sediment quality in the AOC. The screening method was calibrated using a PAH surrogate standard consisting of eight PAHs commonly found in the St. LouisRiver system, at their approximate proportions. Estimated PAHconcentrations were compared to GC/MS measured `true' PAH concentrations to evaluate the overall predictive power of thescreening method. Regression analysis of log transformed estimated versus true PAH concentration yielded an r² of 0.72 (n = 86). In addition, the rates of false positive and false negative predictions associated with the screening methodwere determined relative to different sediment effects concentrations (SECs) for total PAHs. In general, the rate of false positive predictions was shown to increase as the SEC criteria value decreased, while false negative rates remainedconsistently low (below 7%). Methodological recommendations which led to a three-fold reduction in false negatives, and theimproved prediction of both high and low PAH samples, are presented.