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Occurrence of perchlorate in groundwater, paired farmland soil, lettuce, and rhizosphere soil from Chengdu, China

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Abstract

A total of 28 groundwater, paired farmland soil, lettuce, and its rhizosphere soil samples were collected from Chengdu, China to detect perchlorate levels and to evaluate the relationships of perchlorate concentrations among these matrices. The perchlorate concentrations in the groundwater, farmland soil, lettuce, and rhizosphere soil samples ranged from below detection limit to 60.2 μg L−1, from below detection limit to 249 μg kg−1 dry weight (dw), from 2.07 to 1010 μg kg−1 wet weight, and from below detection limit to 314 μg kg−1 dw, respectively. Significant correlation was found in the perchlorate levels among the farmland soil, lettuce, and rhizosphere soil, suggesting that they have common pollution sources, or perchlorate might transfer from farmland soil-rhizosphere soil-plant. However, there is no significant correlation between groundwater and the other three matrices, indicating that infiltration from perchlorate contaminated farmland soil was not the predominant source for groundwater pollution in Chengdu. The perchlorate concentrations in the farmland soil and lettuce samples were significantly higher than those in the rhizosphere soil, primarily due to uptake of perchlorate through the rhizosphere micro-environment by lettuce, or accelerated degradation by rhizospheric microorganisms, which contributed more needs further investigation.

Graphical abstract: Occurrence of perchlorate in groundwater, paired farmland soil, lettuce, and rhizosphere soil from Chengdu, China

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Publication details

The article was received on 08 Mar 2017, accepted on 06 Apr 2017 and first published on 07 Apr 2017


Article type: Paper
DOI: 10.1039/C7EM00114B
Citation: Environ. Sci.: Processes Impacts, 2017, Advance Article
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    Occurrence of perchlorate in groundwater, paired farmland soil, lettuce, and rhizosphere soil from Chengdu, China

    Y. Tang, B. Zhong, B. Qu, S. Feng, S. Ding, S. Su, Z. Li and Z. Gan, Environ. Sci.: Processes Impacts, 2017, Advance Article , DOI: 10.1039/C7EM00114B

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