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A Strategy for an Unknown Screening Approach on Environmental Samples Using HRAM Mass Spectrometry

# | Compound Name | Compound Class | RT (min) |
---|---|---|---|
1 | Tramadol | Contaminant | 4.35 |
2 | Bisoprolol | Contaminant | 5.12 |
3 | Carbofuran | Contaminant | 5.18 |
4 | Loxoprofen | Contaminant | 5.52 |
5 | Mexacarbate | Contaminant | 5.53 |
6 | Oxazepam | Contaminant | 6.29 |
7 | Irbesartan | Contaminant | 6.45 |
8 | Candesartan | Contaminant | 6.56 |
9 | Dibenzylamine | Contaminant | 7.31 |
10 | Propiconazole | Contaminant | 7.43 |
Description
The analysis of food and environmental samples for contaminants by LC-MS has become a quick and cost-effective routine application when run in a targeted fashion, but this method disregards events or circumstances not taken into account beforehand. We describe a method by one data set can serve for routine high throughput quantitative analysis and for versatile non-targeted investigations in a highly automated manner.Market: | Environmental |
Keywords: | Accela HPLC, HRAM, Exactive Plus MS, Automated Solid Phase Extraction (SPE), Surface water analysis |
Matrix: | Surface water |
Author: | Olaf Scheibner, Patrizia van Baar, Florian Wode, Uwe Dünnbier, Kristi Akervik, Jamie Humphrie, Maciej Bromirski |
Affiliation: | Berliner Wasserbetriebe - Germany; Thermo Fisher Scientific |
For Research Use Only. Not for use in diagnostic procedures.