Isolation and Chemical Characterization of Dissolved and Colloidal Organic Matter

An overview of the methods used for the isolation and characterization of organic matter in natural waters is presented. Commonly used techniques for the concentration and isolation of organic matter from water, such as preparative chromatography, ultrafiltration and reverse osmosis, and the methods used to analyze the organic matter obtained by these methods are reviewed. the development of methods to obtain organic matter that is associated with fractions of the dissolved organic carbon other than humic substances, such as organic bases, hydrophilic organic acids and colloidal organic matter are discussed. Methods specifically used to study dissolved organic nitrogen and dissolved organic phosphorous are also discussed.     

Human chorionic gonadotropin and unconjugated oestriol measurements in insulin-dependent diabetic pregnant women being screened for fetal down syndrome

This prospective study investigates the relationship between insulin-dependent diabetes and maternal serum levels of alpha-fetoprotein (AFP), unconjugated oestriol (uE3), and human chorionic gonadotropin (hCG). It also examines the potential impact on screening for Down syndrome. The population-based cohort included 20 321 pregnant women in Maine who underwent routine serum screening for Down syndrome in the second trimester. The cohort included 52 women with insulin-dependent diabetes. Maternal serum AFP levels are now routinely adjusted for insulin-dependent diabetes. These adjustments, therefore, were made routinely in the diabetic women, but no equivalent adjustments were made for uE3 and hCG values. The initial false-positive rate (using all three markers) among the women with diabetes was not significantly different from that in the non-diabetic population (7·7 and 5·4 per cent, respectively). Prior to adjustment for insulin-dependent diabetes, the median AFP level in the 52 women was 0·73 multiples of the median (MOM); the median levels of uE3 and hCG were 0·93 and 0·98 MOM, respectively. When the uE3 and hCG levels were adjusted, the initial false-positive rate was unchanged. Median serum levels of uE3 were significantly higher in the 33 women whose onset of diabetes was prior to 19 years of age (0·99 MOM) than in the 19 women whose onset of diabetes was at age 19 or older (0·84 MOM). This is the first population-based study to investigate the relationship between diabetes and serum levels of AFP, uE3, and hCG, and confirms earlier observations from a case—control study that found only slightly lower uE3 and hCG levels.     

Risk-based prenatal screening for trisomy 18 using alpha-fetoprotein,unconjugated oestriol and human chorionic gonadotropin

Nine centres collaborated to examine the feasibility of a screening method for trisomy 18 that was based on assigning individual risk, using a combination of maternal age and measurements of alpha-fetoprotein (AFP), unconjugated oestriol (uE3), and human chorionic gonadotropin (hCG). Second-trimester measurements of these analytes were obtained from 94 trisomy 18 pregnancies. In the 89 pregnancies without an associated open defect, the median levels for AFP, uE3, and hCG were 0.65, 0.43 and 0.36 multiples of the unaffected population median, respectively. The strongest individual predictor of risk for trisomy 18 was uE3, followed by hCG, AFP, and maternal age, in that order. Using a method of individual risk estimation that is based on the three markers and maternal age, 60 per cent of pregnancies associated with trisomy 18 would be detected at a risk cut-off level of 1:100, with a false-positive rate of about 0.2 per cent. One in nine pregnancies identified as being at increased risk for trisomy 18 would be expected to have an affected pregnancy. This risk-based screening method is more efficient than an existing method that is based on fixed analyte cut-off levels. Even though the birth prevalence of trisomy 18 is low, prenatal screening can be justified when performed in conjunction with Down syndrome screening and when a high proportion of women offered amniocentesis have an affected fetus.     

A national critical loads framework for atmospheric deposition effects assessment: III. Deposition characterization

Methods are discussed for describing patterns of current wet and dry deposition under various scenarios. It is proposed that total deposition data across an area of interest are the most relevant in the context of critical loads of acidic deposition, and that the total (i.e., wet plus dry) deposition will vary greatly with the location, the season, and the characteristics of individual subregions. Wet and dry deposition are proposed to differ in such fundamental ways that they must be considered separately. Both wet and dry deposition rates are controlled by the presence of the chemical species in question in the air (at altitudes of typically several kilometers in the case of wet deposition, and in air near the surface for dry). The great differences in the processes involved lead to the conclusion that it is better to measure wet and dry deposition separately and combine these quantifications to produce “total deposition” estimates than to attempt to derive total deposition directly. A number of options for making estimates of total deposition to be used in critical loads assessment scenarios are discussed for wet deposition (buckets and source receptor models) and for dry deposition (throughfall, micrometeorology, surrogate surfaces and collection vessels, inference from concentrations, dry-wet ratios, and source-receptor models). The research described in this article has been funded by the US Environmental Protection Agency. This document has been prepared at the EPA Environmental Research Laboratory in Corvallis, Oregon, through contract #68-C8-0006 with ManTech Environmental Technology, Inc., and Interagency Agreement #1824-B014-A7 with the U.S. Department of Energy and at Oak Ridge National Laboratory managed by Martin Marietta Energy Systems, Inc., under Contract DE-AC05-84OR21400 with the US Department of Energy. Environmental Sciences Division Publication No. 3905. It has been subjected to the Agency’s peer and administrative review and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.     

A national critical loads framework for atmospheric deposition effects assessment: I. Method summary

The United States Environmental Protection Agency (EPA), with the assistance of the US Department of Energy (DOE) and the National Oceanographic and Atmospheric Administration (NOAA) is examining the utility of a critical loads approach for evaluating atmospheric pollutant effects on sensitive ecosystems. A critical load has been defined as, “a quantitative estimate of an exposure to one or more pollutants below which significant harmful effects on specified sensitive elements of the environment do not occur according to present knowledge.” Working in cooperation with the United Nations Economic Community for Europe’s (UN-ECE) Long Range Transboundary Air Pollution (LRTAP) Convention, the EPA has developed a flexible, six-step approach for setting critical loads for a range of ecosystem types. The framework is based on regional population characteristics of the ecosystem(s) of concern. The six steps of the approach are: (1) selection of ecosystem components, indicators, and characterization of the resource; (2) definition of functional subregions; (3) characterization of deposition within each of the subregions; (4) definition of an assessment end point; (5) selection and application of models; and (6) mapping projected ecosystem responses. The approach allows for variable ecosystem characteristics and data availability. Specific recognition of data and model uncertainties is an integral part of the process, and the use of multiple models to obtain ranges of critical loads estimates for each ecosystem component in a region is encouraged. Through this intercomparison process uncertainties in critical loads projections can be estimated. The research described in this article has been funded by the US Environmental Protection Agency. This document has been prepared at the EPA Environmental Research Laboratory in Corvallis, Oregon, through contract #68-C8-0006 with Man Tech Environmental Technology, Inc. It has been subjected to the agency’s peer and administrative review and approved for publication. Mention of trade names or commercial products does not constitute endorse ment or recommendation for use.     

Wetland boundary and land-use planning in southern Ontario,Canada

There is a general lack of understanding of wetland processes and a general paucity of scientific research to predict the effects of development on wetland boundary. This paper presents the results of a survey of wetland managers as to how they delineate wetland boundaries, define compatible land uses, and restrict land uses adjacent to wetland boundaries. A major finding from the survey is that 75% of land-use planners and wetland managers failed to identify any compatible land use or restricted land use for development proposals that may affect provincially significant wetlands. The government agencies overwhelmingly lack adequate methodologies and/or criteria to delineate and protect wetland boundaries. The paper closes with a plea to consider dynamic hydrological factors in land-use planning.     

Incentive compensation as an injurious condition of work: A study of labelling

A recursive causal model is presented in which individual and work factors are hypothesized to be predictive of workers' labelling an incentive compensation program as potentially injurious to their well-being. The individual factors include the dispositional variable, negative affectivity, and financial needs and resources. The work factors consist of prior incentive compensation, experienced job insecurity, and experienced control. The model was tested using questionnaire responses of 165 managers and professionals. While it was found that the overall model did not fit the data that well, negative affectivity was found to be positively associated and experienced control negatively associated with the incentive compensation program being labelled negatively. The somewhat surprising finding that financial needs and resources were not found to be significantly associated with labelling is discussed. The importance of disposition and experienced control for the labelling of potentially threatening or harmful job conditions as well as some hypothesized antecedents of control also are discussed.