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Root Exudate Enhanced Contaminant Desorption: An Abiotic Contribution to the Rhizosphere Effect

Overview of attention for article published in Environmental Science & Technology, October 2013
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Article details
Title
Root Exudate Enhanced Contaminant Desorption: An Abiotic Contribution to the Rhizosphere Effect
Published in
Environmental Science & Technology, October 2013
DOI 10.1021/es402446v
Pubmed ID
Authors
Abstract

Despite reports in the literature of superior contaminant degradation in the root-zone of plants, this phenomenon, known as the rhizosphere effect, is poorly understood. We investigated whether root exudates could enhance desorption of residual pollutants, thus improving bioavailability and subsequent biodegradation potential. Root exudates were harvested from three species of hydroponically grown plants, and artificial root exudates (AREs) were created using a literature recipe. Aliquots of the exudates were metabolized by soil bacteria to investigate whether biotransformed exudates exhibited different chemical characteristics or had different effects on contaminant bioavailability than 'raw exudates.' Slurries of naphthalene-aged soil containing raw exudates had a significantly lower soil-water distribution coefficient (Kd) than slurries with metabolized exudates or no-exudate controls, exhibiting median reductions of 50% and 55%, respectively. Raw exudates had a significantly lower surface tension while not increasing overall solubility, indicating the presence of surface-active compounds below the critical micelle concentration; this is a newly observed mechanism of the rhizosphere effect. Exudate samples were characterized by specific UV absorbance, spectral slope, fluorescence index, and excitation-emission matrices. Substantial changes in organic carbon character pre- and postmetabolism, and between harvested exudates and AREs, suggest that AREs are not chemically representative of plant root exudates. Overall, we present evidence that enhanced contaminant desorption in the presence of exudates provides an abiotic contribution to the rhizosphere effect.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Hong Kong 1 <1%
China 1 <1%
Brazil 1 <1%
Unknown 139 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 15 10%
Student > Doctoral Student 11 8%
Student > Master 9 6%
Professor > Associate Professor 8 6%
Other 19 13%
Unknown 42 29%
Readers by discipline
Readers by discipline Count As %
Environmental Science 45 31%
Engineering 18 13%
Agricultural and Biological Sciences 16 11%
Chemistry 5 3%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 7 5%
Unknown 50 35%
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 20 May 2014.
All research outputs
#24,768,444
of 27,521,156 outputs
Outputs from Environmental Science & Technology
#21,037
of 22,233 outputs
Outputs of similar age
#201,159
of 225,525 outputs
Outputs of similar age from Environmental Science & Technology
#252
of 261 outputs
Altmetric has tracked 27,521,156 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 22,233 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. 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 225,525 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 261 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.