| Title |
Development of a molecular recognition based approach for multi-residue extraction of estrogenic endocrine disruptors from biological fluids coupled to liquid chromatography-tandem mass spectrometry measurement
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, September 2015
|
| DOI | 10.1007/s00216-015-9024-4 |
| Pubmed ID | |
| Authors |
Radia Bousoumah, Jean Philippe Antignac, Valérie Camel, Marina Grimaldi, Patrick Balaguer, Frederique Courant, Emmanuelle Bichon, Marie-Line Morvan, Bruno Le Bizec |
| Abstract |
Multi-residue methods permitting the high-throughput and affordable simultaneous determination of an extended range of endocrine disrupting chemicals (EDCs) with reduced time and cost of analysis is of prime interest in order to characterize a whole set of bioactive compounds. Such a method based on UHPLC-MS/MS measurement and dedicated to 13 estrogenic EDCs was developed and applied to biological matrices. Two molecular recognition-based strategies, either molecular imprinted polymer (MIP) with phenolic template or estrogen receptors (ERα) immobilized on a sorbent, were assessed in terms of recovery and purification efficiency. Both approaches demonstrated their suitability to measure ultra-trace levels of estrogenic EDCs in aqueous samples. Applicability of the MIP procedure to urine and serum samples has also been demonstrated. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 32% |
| Researcher | 5 | 23% |
| Student > Master | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 27% |
| Agricultural and Biological Sciences | 4 | 18% |
| Philosophy | 1 | 5% |
| Environmental Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 36% |
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 23 November 2015.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,612
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Outputs of similar age
#209,324
of 285,766 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#79
of 171 outputs
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