Literature DB >> 22820614

Accumulation of arsenic by aquatic plants in large-scale field conditions: opportunities for phytoremediation and bioindication.

Paulo J C Favas1, João Pratas, M N V Prasad.   

Abstract

This work focuses on the potential of aquatic plants for bioindication and/or phytofiltration of arsenic from contaminated water. More than 71 species of aquatic plants were collected at 200 sampling points in running waters. The results for the 18 most representative plant species are presented here. The species Ranunculus trichophyllus, Ranunculus peltatus subsp. saniculifolius, Lemna minor, Azolla caroliniana and the leaves of Juncus effusus showed a very highly significant (P<0.001) positive correlation with the presence of arsenic in the water. These species may serve as arsenic indicators. The highest concentration of arsenic was found in Callitriche lusitanica (2346 mg/kg DW), Callitriche brutia (523 mg/kg DW), L. minor (430 mg/kg DW), A. caroliniana (397 mg/kg DW), R. trichophyllus (354 mg/kg DW), Callitriche stagnalis (354 mg/kg DW) and Fontinalis antipyretica (346 mg/kg DW). These results indicate the potential application of these species for phytofiltration of arsenic through constructed treatment wetlands or introduction of these plant species into natural water bodies.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22820614     DOI: 10.1016/j.scitotenv.2012.06.091

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  11 in total

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Authors:  Joanna Augustynowicz; Paweł Wróbel; Bartosz J Płachno; Grzegorz Tylko; Zbigniew Gajewski; Dariusz Węgrzynek
Journal:  Planta       Date:  2014-03-05       Impact factor: 4.116

10.  Callitriche cophocarpa (water starwort) proteome under chromate stress: evidence for induction of a quinone reductase.

Authors:  Paweł Kaszycki; Aleksandra Dubicka-Lisowska; Joanna Augustynowicz; Barbara Piwowarczyk; Wojciech Wesołowski
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-13       Impact factor: 4.223

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