Published April 11, 2026
| Version v1
Poster
Open
A fully automated deature detection workflow for Non-Target Screening with HPLC-HRMS
Authors/Creators
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1.
University of Duisburg-Essen
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2.
Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen
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3.
IWW Water Centre
Description
Poster describing the qAlorithms feature detection / data processing workflow presented at the conference Nontarget26 in Ascona, Switzerland and at the Wasser 2026 in Kiel, Germany. Only the updated version presented at the Wasser is provided here.
Attendance of the Wasser was supported by a stipend of the GDCh Fachgruppe Wasserchemische Gesellschaft.
Files
poster_wasser26_DH.pdf
Files
(3.5 MB)
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md5:8328769953c1b148c0e23a3966646acb
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Additional details
Related works
- Describes
- Software: https://github.com/odea-project/qAlgorithms (URL)
Funding
- Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen
- “Intelligentes datengestütztes Software-Tool zur Überwachung der Abwasserqualität durch maschinelles Lernen” - CogniFlow
Dates
- Created
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2026-04
- Updated
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2026-05