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Développement d'une méthode d'extraction des contaminants émergents dans les solides particulaires par LDTD-APCI-MS/MS
| Content Provider | Semantic Scholar |
|---|---|
| Author | Darwano, Hicham |
| Copyright Year | 2014 |
| Abstract | We developed a protocol to quantify 12 emerging contaminants (pharmaceuticals and hormones) and pesticides extracted from suspended particulate matter (SPM) of river water and municipal wastewaters samples. The separation of suspended solids was carried out through filtration of water samples. We tested a series of 6 different filter types. The effect of filtration on the concentrations of dissolved contaminants was evaluated in order to minimize losses of target compounds. The river bottom sediments samples were lyophilized and both SPM and sediment samples were subjected to ultrasonic extraction combined with C18 cartridge clean-up. Quantifications were realized using mass spectrometry. The overall method recoveries of all compounds ranged from 38 to 112 % in all studied matrix, poor recoveries were achieved for sulfamethoxazole and diclofenac (recoveries for all other compounds in the WWTP samples ranged from 68 to 111%). The detection limits in sediments and SPM from river samples for the 12 analytes varied from 0.7 to 9.4 ng g -1 and from 21 to 92 ng g -1 for WWTP SPM samples. All target emerging contaminants were detected with concentrations ranging from 3 to 5440 ng g -1 in the studied matrices, with the highest concentrations observed in WWTP SPM samples. A significant portion of some of those contaminants is clearly associated with bottom sediments or suspended particulates. Optimization of water treatment processes and environmental fate must absolutely consider the fraction of contaminants which is particulate-bound if one hopes to have a reasonable mass balance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://papyrus.bib.umontreal.ca/xmlui/bitstream/handle/1866/10599/Darwano_Hicham_2014_memoire.pdf;jsessionid=29B86794D25DA6E17119F79430263DC7?sequence=5 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |