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Bioremediation of a Complex Industrial Effluent by Biosorbents Derived from Freshwater Macroalgae

Overview of attention for article published in PLOS ONE, June 2014
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Article details
Title
Bioremediation of a Complex Industrial Effluent by Biosorbents Derived from Freshwater Macroalgae
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0094706
Pubmed ID
Authors
Abstract

Biosorption with macroalgae is a promising technology for the bioremediation of industrial effluents. However, the vast majority of research has been conducted on simple mock effluents with little data available on the performance of biosorbents in complex effluents. Here we evaluate the efficacy of dried biomass, biochar, and Fe-treated biomass and biochar to remediate 21 elements from a real-world industrial effluent from a coal-fired power station. The biosorbents were produced from the freshwater macroalga Oedogonium sp. (Chlorophyta) that is native to the industrial site from which the effluent was sourced, and which has been intensively cultivated to provide a feed stock for biosorbents. The effect of pH and exposure time on sorption was also assessed. These biosorbents showed specificity for different suites of elements, primarily differentiated by ionic charge. Overall, biochar and Fe-biochar were more successful biosorbents than their biomass counterparts. Fe-biochar adsorbed metalloids (As, Mo, and Se) at rates independent of effluent pH, while untreated biochar removed metals (Al, Cd, Ni and Zn) at rates dependent on pH. This study demonstrates that the biomass of Oedogonium is an effective substrate for the production of biosorbents to remediate both metals and metalloids from a complex industrial effluent.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Poland 1 1%
Mexico 1 1%
Germany 1 1%
Unknown 81 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Researcher 12 14%
Student > Master 7 8%
Student > Bachelor 5 6%
Other 4 5%
Other 10 12%
Unknown 31 37%
Readers by discipline
Readers by discipline Count As %
Environmental Science 18 21%
Agricultural and Biological Sciences 14 17%
Engineering 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Chemistry 3 4%
Other 8 10%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2014.
All research outputs
#31,227,209
of 34,410,798 outputs
Outputs from PLOS ONE
#202,150
of 224,657 outputs
Outputs of similar age
#245,507
of 276,965 outputs
Outputs of similar age from PLOS ONE
#4,157
of 4,648 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224,657 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 276,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,648 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.