Safeguarding Water Quality

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Safeguarding Water Quality

HPLC-DAD as Early Warning System

Journal Article (2025)

Author(s)

Nienke Meekel (Vrije Universiteit Amsterdam, KWR Water Research Institute)

Marijke W. de Bar (Ministerie van Infrastructuur en Waterstaat)

Erik Emke (KWR Water Research Institute)

Martijn M. Pijnappels (Ministerie van Infrastructuur en Waterstaat)

Runa Kooper-Mookerji (Aqualab Zuid)

Peter van Diepenbeek (Waterleiding Maatschappij Limburg)

Astrid Fischer (TU Delft - Sanitary Engineering, Evides Waterbedrijf)

René van Doorn (KWR Water Research Institute)

Asmaïl Asgadaouan (KWR Water Research Institute)

Patrick S. Bäuerlein (KWR Water Research Institute)

Research Group

Sanitary Engineering

DOI related publication

https://doi.org/10.1021/acsestwater.5c01116

To reference this document use:

https://resolver.tudelft.nl/uuid:a43832ff-c927-4320-b889-0efecab63331

More Info

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Publication Year

2025

Language

English

Research Group

Sanitary Engineering

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en

Issue number

12

Volume number

5

Pages (from-to)

7078-7083

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Harmonized online solid phase extraction (SPE) coupled to high-performance liquid chromatography (HPLC) with diode array detection (DAD) has proven its suitability as a robust early warning system for water quality in The Netherlands. A retention index (KRetI), validated through interlaboratory ring trials, together with a shared UV spectral database, facilitates data comparability across laboratories. The technique enables early detection of trends and incidental contamination, triggering alarm systems, and allowing for measures to be taken to protect the drinking water supply and the river’s ecosystem.

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