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Multi-residue analysis of emerging pollutants in sediment using QuEChERS-based extraction followed by LC-MS/MS analysis

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2013
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Title
Multi-residue analysis of emerging pollutants in sediment using QuEChERS-based extraction followed by LC-MS/MS analysis
Published in
Analytical & Bioanalytical Chemistry, November 2013
DOI 10.1007/s00216-013-7450-8
Pubmed ID
Authors

Alexandra Berlioz-Barbier, Antoine Vauchez, Laure Wiest, Robert Baudot, Emmanuelle Vulliet, Cécile Cren-Olivé

Abstract

Emerging contaminants are suspected to cause adverse effects in humans and wildlife. Aquatic ecosystems are continuously contaminated by agricultural and industrial sources. To establish a causality relationship between the occurrence of contaminants in the environment and disease, experiments including all environmental matrices must be performed. Consequently, the current analytical tools must be improved. A new multi-residue method for analysing 15 emerging pollutants in sediments based on the Quick, Easy, Cheap, Effective, Rugged and Safe approach is reported. The development of such a multirisque, inter-family method for sediment including pharmaceuticals, pesticides, personal care products and plasticizers is reported for the first time. The procedure involves salting-out liquid-liquid extraction using acetonitrile and clean-up with dispersive solid phase extraction, followed by liquid chromatography coupled with tandem mass spectrometry. The validated analytical procedure exhibited recoveries between 40 and 98% for every target compound. This methodology facilitated the determination of pollutant contents at nanogram-per-gram concentrations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Brazil 2 1%
Indonesia 1 <1%
Argentina 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 129 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 20%
Researcher 19 14%
Student > Master 19 14%
Student > Doctoral Student 15 11%
Student > Bachelor 8 6%
Other 25 18%
Unknown 24 18%
Readers by discipline Count As %
Chemistry 42 31%
Environmental Science 28 20%
Agricultural and Biological Sciences 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Engineering 5 4%
Other 15 11%
Unknown 35 26%
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 May 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,601
of 9,619 outputs
Outputs of similar age
#241,187
of 315,413 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#51
of 68 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.