<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lopes, Claudia B</style></author><author><style face="normal" font="default" size="100%">Oliveira, Joana R</style></author><author><style face="normal" font="default" size="100%">Rocha, Luciana S</style></author><author><style face="normal" font="default" size="100%">Tavares, Daniela S</style></author><author><style face="normal" font="default" size="100%">Silva, Carlos M</style></author><author><style face="normal" font="default" size="100%">Silva, Susana P</style></author><author><style face="normal" font="default" size="100%">Hartog, Niels</style></author><author><style face="normal" font="default" size="100%">Duarte, Armando C</style></author><author><style face="normal" font="default" size="100%">Pereira, E</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Cork stoppers as an effective sorbent for water treatment: the removal of mercury at environmentally relevant concentrations and conditions</style></title><secondary-title><style face="normal" font="default" size="100%">ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cork</style></keyword><keyword><style  face="normal" font="default" size="100%">Ionic competition</style></keyword><keyword><style  face="normal" font="default" size="100%">Kineticmodelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury</style></keyword><keyword><style  face="normal" font="default" size="100%">Metal removal</style></keyword><keyword><style  face="normal" font="default" size="100%">Recycling</style></keyword><keyword><style  face="normal" font="default" size="100%">Sorption</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">SPRINGER HEIDELBERG</style></publisher><pub-location><style face="normal" font="default" size="100%">TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY</style></pub-location><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">2108 - 2121</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The technical feasibility of using stopper-derived cork as an effective biosorbent towards bivalent mercury at environmentally relevant concentrations and conditions was evaluated in this study. Only 25 mg/L of cork powder was able to achieve 94 % of mercury removal for an initial mercury concentration of 500 mu g/L. It was found that under the conditions tested, the efficiency of mercury removal expressed as equilibrium removal percentage does not depend on the amount of cork or its particle size, but is very sensitive to initial metal concentration, with higher removal efficiencies at higher initial concentrations. Ion exchange was identified as one of the mechanisms involved in the sorption of Hg onto cork in the absence of ionic competition. Under ionic competition, stopper-derived cork showed to be extremely effective and selective for mercury in binary mixtures, while in complex matrices like seawater, moderate inhibition of the sorption process was observed, attributed to a change in mercury speciation. The loadings achieved are similar to the majority of literature values found for other biosorbents and for other metals, suggesting that cork stoppers can be recycled as an effective biosorbent for water treatment. However, the most interesting result is that equilibrium data show a very rare behaviour, with the isotherm presenting an almost square convex shape to the concentration axis, with an infinite slope for an Hg concentration in solution around 25 mu g/L.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Figueira, Rui</style></author><author><style face="normal" font="default" size="100%">Tavares, Paula C.</style></author><author><style face="normal" font="default" size="100%">Palma, Luís</style></author><author><style face="normal" font="default" size="100%">Beja, Pedro</style></author><author><style face="normal" font="default" size="100%">Sérgio, Cecília</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of indicator kriging to the complementary use of bioindicators at three trophic levels.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental pollution (Barking, Essex : 1987)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">birds</style></keyword><keyword><style  face="normal" font="default" size="100%">Birds: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: instrumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: statistics &amp; numerical d</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Indicator kriging</style></keyword><keyword><style  face="normal" font="default" size="100%">Indices</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Mosses</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">Statistical</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19477568</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">2689 - 2696</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The use of biological indicators is widespread in environmental monitoring, although it has long been recognised that each bioindicator is generally associated with a range of potential limitations and shortcomings. To circumvent this problem, this study adopted the complementary use of bioindicators representing different trophic levels and providing different type of information, in an innovative approach to integrate knowledge and to estimate the overall health state of ecosystems. The approach is illustrated using mercury contamination in primary producers (mosses), primary consumers (domestic pigeons and red-legged partridges) and top predators (Bonelli's eagles) in southern Portugal. Indicator kriging geostatistics was used to identify the areas where mercury concentration was higher than the median for each species, and to produce an index that combines mercury contamination across trophic levels. Spatial patterns of mercury contamination were consistent across species. The combined index provided a new level of information useful in incorporating measures of overall environmental contamination into pollution studies.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 19477568</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Figueira, Rui</style></author><author><style face="normal" font="default" size="100%">Tavares, Paula C</style></author><author><style face="normal" font="default" size="100%">Palma, Luís</style></author><author><style face="normal" font="default" size="100%">Beja, Pedro</style></author><author><style face="normal" font="default" size="100%">Sérgio, Cecília</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Application of indicator kriging to the complementary use of bioindicators at three trophic levels.</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental pollution (Barking, Essex : 1987)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Bioindicators</style></keyword><keyword><style  face="normal" font="default" size="100%">birds</style></keyword><keyword><style  face="normal" font="default" size="100%">Birds: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Bryophyta: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: instrumentation</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Monitoring: statistics &amp; numerical d</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Environmental Pollutants: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: chemistry</style></keyword><keyword><style  face="normal" font="default" size="100%">Feathers: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Indicator kriging</style></keyword><keyword><style  face="normal" font="default" size="100%">Indices</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Mercury: metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">Models</style></keyword><keyword><style  face="normal" font="default" size="100%">Mosses</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">Statistical</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">157</style></volume><pages><style face="normal" font="default" size="100%">2689-2696</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The use of biological indicators is widespread in environmental monitoring, although it has long been recognised that each bioindicator is generally associated with a range of potential limitations and shortcomings. To circumvent this problem, this study adopted the complementary use of bioindicators representing different trophic levels and providing different type of information, in an innovative approach to integrate knowledge and to estimate the overall health state of ecosystems. The approach is illustrated using mercury contamination in primary producers (mosses), primary consumers (domestic pigeons and red-legged partridges) and top predators (Bonelli's eagles) in southern Portugal. Indicator kriging geostatistics was used to identify the areas where mercury concentration was higher than the median for each species, and to produce an index that combines mercury contamination across trophic levels. Spatial patterns of mercury contamination were consistent across species. The combined index provided a new level of information useful in incorporating measures of overall environmental contamination into pollution studies.</style></abstract><accession-num><style face="normal" font="default" size="100%">19477568</style></accession-num></record></records></xml>