2 research outputs found

    Adsorption of Arsenic on Polyaluminum Granulate

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    The kinetics and efficiencies of arsenite and arsenate removal from water were evaluated using polyaluminum granulates (PAG) with high content of aluminum nanoclusters. PAG was characterized to be meso- and macroporous, with a specific surface area of 35 Ā± 1 m<sup>2</sup> g<sup>ā€“1</sup>. Adsorption experiments were conducted at pH 7.5 in deionized water and synthetic water with composition of As-contaminated groundwater in the Pannonian Basin. AsĀ­(III) and AsĀ­(V) sorption was best described by the Freundlich and Langmuir isotherm, respectively, with a maximum AsĀ­(V) uptake capacity of āˆ¼200 Ī¼mol g<sup>ā€“1</sup> in synthetic water. While AsĀ­(III) removal reached equilibrium within 40 h, AsĀ­(V) was removed almost entirely within 20 h. Micro X-ray fluorescence and electron microscopy revealed that AsĀ­(III) was distributed uniformly within the grain, whereas AsĀ­(V) diffused up to 81 Ī¼m into PAG. The results imply that AsĀ­(V) is adsorbed 3 times faster while being transported 10<sup>5</sup> times slower than AsĀ­(III) in Al hydroxide materials

    Quantification of Carbon Nanotubes in Environmental Matrices: Current Capabilities, Case Studies, and Future Prospects

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    Carbon nanotubes (CNTs) have numerous exciting potential applications and some that have reached commercialization. As such, quantitative measurements of CNTs in key environmental matrices (water, soil, sediment, and biological tissues) are needed to address concerns about their potential environmental and human health risks and to inform application development. However, standard methods for CNT quantification are not yet available. We systematically and critically review each component of the current methods for CNT quantification including CNT extraction approaches, potential biases, limits of detection, and potential for standardization. This review reveals that many of the techniques with the lowest detection limits require uncommon equipment or expertise, and thus, they are not frequently accessible. Additionally, changes to the CNTs (e.g., agglomeration) after environmental release and matrix effects can cause biases for many of the techniques, and biasing factors vary among the techniques. Five case studies are provided to illustrate how to use this information to inform responses to real-world scenarios such as monitoring potential CNT discharge into a river or ecotoxicity testing by a testing laboratory. Overall, substantial progress has been made in improving CNT quantification during the past ten years, but additional work is needed for standardization, development of extraction techniques from complex matrices, and multimethod comparisons of standard samples to reveal the comparability of techniques
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