| Title |
Chemometric and high-resolution mass spectrometry tools for the characterization and comparison of raw and treated wastewater samples of a pilot plant on the SIPIBEL site
|
|---|---|
| Published in |
Environmental Science and Pollution Research, November 2017
|
| DOI | 10.1007/s11356-017-0748-x |
| Pubmed ID | |
| Authors |
Agneta Kiss, Alexandre Bergé, Bruno Domenjoud, Adriana Gonzalez-Ospina, Emmanuelle Vulliet |
| Abstract |
Due to its key role in the contamination of natural resources, the assessment of raw and treated wastewater effluents is a current major concern and urges comprehensive analytical methods capable of selectively capturing the chemodiversity of these samples. In this context, the overall objective of this work can be summarized as (i) the assessment of the performance of secondary and tertiary (advanced oxidation) wastewater treatments through multivariate analysis followed by (ii) the comprehensive characterization of wastewater samples based on their spectral fingerprints and a combination of suspect and non-target screening approaches. Several compounds, belonging to different sources of contamination were annotated and/or partially identified: pharmaceuticals, metabolites and transformation compounds, human activity markers, surfactants, and polyethoxy compounds. These results highlight the contribution of filtering and screening tools such as monoisotopic exact mass, mass defect, MS/MS data-dependent acquisitions, isotopic pattern and retention time to the selection, and the identification of environmental contaminants and their metabolites/degradation products. This paper completes the target study conducted in the SIPIBEL site and offers an alternative for the assessment of treatment processes by broadening the spectrum to a larger number of compounds and the correlations between them. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Professor > Associate Professor | 4 | 15% |
| Student > Master | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 30% |
| Engineering | 4 | 15% |
| Chemistry | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 33% |
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 17 December 2017.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#7,000
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Outputs of similar age
#380,463
of 444,574 outputs
Outputs of similar age from Environmental Science and Pollution Research
#194
of 267 outputs
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