A method of isolating organic compounds present in water

Water sample is passed through a column containing macroreticular resin, which absorbs only nonionic organic compounds. These compounds are selectively separated using aqueous eluents of varying pH, or completely exuded with small amount of an organic eluent

The effect of flooding on the exchange of the volatile C₂-compounds ethanol, acetaldehyde and acetic acid between leaves of Amazonian floodplain tree species and the atmosphere

The effect of root inundation on the leaf emissions of ethanol, acetaldehyde and acetic acid in relation to assimilation and transpiration was investigated with 2–3 years old tree seedlings of four Amazonian floodplain species by applying dynamic cuvette systems under greenhouse conditions. Emissions were monitored over a period of several days of inundation using a combination of Proton Transfer Reaction Mass Spectrometry (PTR-MS) and conventional techniques (HPLC, ion chromatography). Under non-flooded conditions, none of the species exhibited measurable emissions of any of the compounds, but rather low deposition of acetaldehyde and acetic acid was observed instead. Tree species specific variations in deposition velocities were largely due to variations in stomatal conductance. Flooding of the roots resulted in leaf emissions of ethanol and acetaldehyde by all species, while emissions of acetic acid were only observed from the species exhibiting the highest ethanol and acetaldehyde emission rates. All three compounds showed a similar diurnal emission profile, each displaying an emission burst in the morning, followed by a decline in the evening. This concurrent behavior supports the conclusion, that all three compounds emitted by the leaves are derived from ethanol produced in the roots by alcoholic fermentation, transported to the leaves with the transpiration stream and finally partly converted to acetaldehyde and acetic acid by enzymatic processes. Co-emissions and peaking in the early morning suggest that root ethanol, after transportation with the transpiration stream to the leaves and enzymatic oxidation to acetaldehyde and acetate, is the metabolic precursor for all compounds emitted, though we can not totally exclude other production pathways. Emission rates substantially varied among tree species, with maxima differing by up to two orders of magnitude (25–1700 nmol m−2 min−1 for ethanol and 5–500 nmol m−2 min−1 for acetaldehyde). Acetic acid emissions reached 12 nmol m−2 min−1. The observed differences in emission rates between the tree species are discussed with respect to their root adaptive strategies to tolerate long term flooding, providing an indirect line of evidence that the root ethanol production is a major factor determining the foliar emissions. Species which develop morphological root structures allowing for enhanced root aeration produced less ethanol and showed much lower emissions compared to species which lack gas transporting systems, and respond to flooding with substantially enhanced fermentation rates and a non-trivial loss of carbon to the atmosphere. The pronounced differences in the relative emissions of ethanol to acetaldehyde and acetic acid between the tree species indicate that not only the ethanol production in the roots but also the metabolic conversion in the leaf is an important factor determining the release of these compounds to the atmosphere

High-sensitivity tracing of stable isotope labeled Ag nanoparticles in environmental samples using MC-ICP-MS

Silver nanoparticles (Ag NPs) are among the most widely used engineered nanomaterials and this warrants further investigation of their behaviour and fate in the environment. To support such work, we developed new techniques for efficient tracing of Ag NPs that are produced from, and hence labelled with, enriched 109 28 Ag (Ag-En). The methods encompass a one-step anion exchange separation of Ag from the sample matrix and precise determination of 109Ag/107Ag ratios and 109Ag abundances by multiple-collector ICP-MS. The sample preparation procedure has an Ag yield of 104 ± 13% (1 SD) and a procedural Ag blank of less than 7 pg, enabling analysis of samples with only trace Ag contents. Analyses of Ag solutions and realistic samples show that careful correction of memory effects is paramount for ensuring data quality. Using appropriate procedures, the 109Ag/107Ag ratios of samples containing Ag-En can be determined to a precision and trueness of better than about 0.5%, when more than 0.5 ng Ag are available for analysis. Even if Ag is only present at 50 pg or less, the Ag isotope ratios and Ag-En concentrations of samples can be measured to better than 5 to 10%. The methods are therefore able to resolve the presence of 1 pg of Ag-En in samples that contain as little as 10 pg and to up to 1 ng of natural Ag. As such, the techniques allow robust detection and quantification of Ag-En in environmental samples even when highly variable quantities of Ag-En and natural Ag are present. The new methodology thus enables the use of stable isotope tracing to investigate the fate of Ag NPs in complex environmental systems at dosing concentrations similar to the predicted environmental concentrations and for very small samples, whilst also providing high sample throughput

4.7 Six Years Of Measuring Effects Of Professional Development On Mathematics Knowledge For Teaching: Reflections On The Process Of Evaluation

This chapter discusses the process of designing meaningful internal evaluation aimed to answer the question, “What is the relationship between teachers’ Mathematics Knowledge for Teaching (MKT) changes and TRC professional development experiences?” MSP guidelines require projects to report on teachers’ content knowledge, instructional change, and student achievement and the guidelines strongly encourage a scientific research design. However, most projects are led by individuals whose primary concern is the delivery of professional development and they possess limited research background. The TRC internal evaluation serves to support these projects by collecting data on the number of teachers served and professional development hours delivered as well as evaluating the project success in improving content knowledge, instruction, and student achievement

Anomalous scaling regime for one-dimensional Mott variable-range hopping

We derive an anomalous, sub-diffusive scaling limit for a one-dimensional version of the Mott random walk. The limiting process can be viewed heuristically as a one-dimensional diffusion with an absolutely continuous speed measure and a discontinuous scale function, as given by a two-sided stable subordinator. Corresponding to intervals of low conductance in the discrete model, the discontinuities in the scale function act as barriers off which the limiting process reflects for some time before crossing. We also discuss how, by incorporating a Bouchaud trap model element into the setting, it is possible to combine this `blocking' mechanism with one of `trapping'. Our proof relies on a recently developed theory that relates the convergence of processes to that of associated resistance metric measure spaces.Comment: 44 pages, 6 figure

Lyapunov exponent and natural invariant density determination of chaotic maps: An iterative maximum entropy ansatz

We apply the maximum entropy principle to construct the natural invariant density and Lyapunov exponent of one-dimensional chaotic maps. Using a novel function reconstruction technique that is based on the solution of Hausdorff moment problem via maximizing Shannon entropy, we estimate the invariant density and the Lyapunov exponent of nonlinear maps in one-dimension from a knowledge of finite number of moments. The accuracy and the stability of the algorithm are illustrated by comparing our results to a number of nonlinear maps for which the exact analytical results are available. Furthermore, we also consider a very complex example for which no exact analytical result for invariant density is available. A comparison of our results to those available in the literature is also discussed.Comment: 16 pages including 6 figure

Mapping and characterization of vegetation units by means of Landsat imagery and management recommendations for the Pantanal of Mato Grosso (Brazil), north of Poconé

In the present study, remote sensing in the northern region of Poconé-MT was used to identify vegetation categories, which were then mapped and characterized. The goal in generating the map was to provide information needed to support sustainable use and to formulate conservation policies. Vegetation units were identified and classified using digital images that were taken in 1990 by the Landsat Thematic Mapperc Satellite and then processed using ERDAS software. First, the vegetation classes were systematically defined. In a preliminary interpretation of the image data, Landsat-TM bands that allowed the best visual differentiation of these classes were selected and the image was georeferenced. Routes for trips to the study area to collect truth data (training samples) for further supervised classification were then determined. These data were subsequently classified according to The System of Classification of Brazilian Vegetation (VELLOSO et al. 1991), which has been used in other physiognomic maps of the Pantanal, in order to make our results comparable to those from other mappings. In addition, some modifications of this system were made due to the particular characteristics of the Pantanal and the scale used for this map. Six classes and 16 subclasses were defined for part I of the vegetation map of Pantanal, Mato Grosso, Brazil, specifically, the area north of Poconé. A distinction was made between the vegetation units of the Paraguayan Depression and those of the Pantanal due to the different characteristics of the vegetation from these two regions, and particularly the role played by inundation. The phytoecological region savanna (cerrado) covers a large part of the total area (53.05%) and consists of five sub-classes. Two forest classeswere identified: seasonal semideciduous forest and seasonal deciduous forest. These two phytoecological classes occupied 16.21 % of the total mapped area; 14.45% of the area has been strongly modified by humans (agriculture, pasture, gold mine, and construction); 0.80% is covered during the dry season by perennial water bodies. Based upon ground truth data and regional field experience, ten eco-zones are proposed and suggestions for sustainable management and conservation measures are discussed