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Comparison of rapid solvent extraction systems for the GC–MS/MS characterization of polycyclic aromatic hydrocarbons in aged, contaminated soil

Overview of attention for article published in MethodsX, January 2016
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3 tweeters

Citations

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14 Dimensions

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77 Mendeley
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Title
Comparison of rapid solvent extraction systems for the GC–MS/MS characterization of polycyclic aromatic hydrocarbons in aged, contaminated soil
Published in
MethodsX, January 2016
DOI 10.1016/j.mex.2016.04.007
Pubmed ID
Authors

Nagalakshmi Haleyur, Esmaeil Shahsavari, Abdulatif A. Mansur, Eman Koshlaf, Paul D. Morrison, A. Mark Osborn, Andrew S. Ball

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are a major class of organic hydrocarbons with high molecular weight that originate from both natural and anthropogenic sources. Sixteen PAHs are included in the U.S Environmental Protection agency list of priority pollutants due to their mutagenic, carcinogenic, toxic and teratogenic properties. In this study, the development and optimization of a simplified and rapid solvent extraction for the characterisation of 16 USEPA priority poly aromatic hydrocarbons (PAHs) in aged contaminated soils was established with subsequent analysis by GC-MS/MS. •Five different extraction solvent systems: dichloromethane: acetone, chloroform: methanol, dichloromethane, acetone: hexane and hexane were assessed in terms of their ability to extract PAHs from aged PAH-contaminated soils.•Highest PAH concentrations were extracted using acetone: hexane and chloroform: methanol. Given the greater toxicity associated with chloroform: methanol, acetone: hexane appears the best choice of solvent extraction system.•This protocol enables efficient extraction of PAHs from aged weathered soils.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 30%
Student > Master 20 26%
Student > Doctoral Student 8 10%
Student > Bachelor 7 9%
Researcher 7 9%
Other 12 16%
Readers by discipline Count As %
Chemistry 20 26%
Environmental Science 20 26%
Unspecified 9 12%
Biochemistry, Genetics and Molecular Biology 7 9%
Agricultural and Biological Sciences 7 9%
Other 14 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 May 2016.
All research outputs
#7,551,830
of 12,523,022 outputs
Outputs from MethodsX
#86
of 168 outputs
Outputs of similar age
#132,323
of 262,656 outputs
Outputs of similar age from MethodsX
#1
of 1 outputs
Altmetric has tracked 12,523,022 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 168 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 46th percentile – i.e., 46% 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 262,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them