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Determination of halogenated flame retardants by GC-API-MS/MS and GC-EI-MS: a multi-compound multi-matrix method

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2017
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Title
Determination of halogenated flame retardants by GC-API-MS/MS and GC-EI-MS: a multi-compound multi-matrix method
Published in
Analytical & Bioanalytical Chemistry, December 2017
DOI 10.1007/s00216-017-0784-x
Pubmed ID
Authors

Frank Neugebauer, Annekatrin Dreyer, Nina Lohmann, Jan Koschorreck

Abstract

The extensive application of halogenated flame retardants has led to their widespread distribution in the environment. Recently, concerns emerged regarding their potential persistence, (bio)accumulation, and/or toxicity. Particularly halogenated flame retardants based on norbornene structures, like Dechlorane Plus as well as other brominated PBDE replacements, generically called emerging, novel, or alternative flame retardants, are in the focus of interest. A comprehensive analytical method for the determination of 21 halogenated flame retardants (HFRs) of different substance classes (dechloranes, brominated aromates, brominated ethers, cyclic BFR) in a broad variety of matrices (tree leaves, fish fillet, birds eggs, suspended particles) was developed in order to assess their environmental levels as well as temporal trends, especially for the use within environmental specimen banks (ESBs). In addition to the alternative HFRs, a set of 24 PBDEs were measured in the same samples, however using GC-EI-MS for detection. Samples were extracted using accelerated solvent extraction (ASE) with dichloromethane:hexane (exception: soxhlet extraction for suspended particles) followed by a multi column clean-up. Quantification was performed by API-GC-MS/MS as a modern, gentle, and sensitive technique for simultaneous detection of compounds throughout a wide range of masses and fragmentation characteristics (exception: PBDE detection using GC-EI-MS). With the exception of BDE 209, instrumental precisions of target compounds ranged from 1% to 16 % (at levels of 2 pg injection-1 for HFR, 20 pg injection-1 for DBDPE, 7-36 pg injection-1 for PBDEs). Interday precisions of the entire analytical method including extraction and clean-up were mostly below 25% for all validation matrices at spiked levels of 100 pg sample-1 for HFR (DBDPE: 1000 pg sample-1) and 1200-6000 pg sample-1 for PBDEs. The majority of analytes were investigated with expanded measurement uncertainties of less than 50%. Graphical abstract A new approach to HFR analysis in multiple environmental matrices.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Master 4 16%
Researcher 4 16%
Student > Bachelor 2 8%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 8 32%
Readers by discipline Count As %
Chemistry 5 20%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Environmental Science 1 4%
Chemical Engineering 1 4%
Other 3 12%
Unknown 12 48%
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 06 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,602
of 9,619 outputs
Outputs of similar age
#338,014
of 443,420 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#100
of 162 outputs
Altmetric has tracked 25,382,440 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.
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 443,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.