Real-time monitoring of contaminants of emerging concern in effluent wastewater with dynamic headspace gas chromatography mass spectrometry analysis

Wastewater treatment plants are a major source of contamination, introducing pharmaceuticals, pesticides, and combustion products into aquatic environments. Currently, real-time monitoring of parameters such as nitrate and ammonia enables automatical control of these plants. In this paper we present the implementation and development of a dynamic headspace gas chromatography mass spectrometry method for real-time monitoring of contaminants of emerging concern in effluent wastewater. We observed a clear relation between polarity, water solubility, and analytical sensitivity, with the lowest sensitivity for the most polar compounds. Limits of quantification ranged from 15 to 3000 ng L<sup>-1</sup> in full scan mode depending on the physico-chemical properties of the internal standards. Both the proprietary software MassHunter and open-source software PARADISe were used for non-target screening. Both software solutions were in general able to identify similar compound structures and sample time profiles using the specified data processing methods. The identified non-target compounds were typically semipolar aromatic compounds such as fuel-related compounds, transformation products from biological wastewater treatment, and compounds such as the UV blocker benzophenone and the odorant amberonne.

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Publication Details

Journal
Journal of Chromatography A
Published
2025-03-23
DOI
https://doi.org/10.1016/j.chroma.2025.465895
Citations
4
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
3.01

Funders

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Real-time monitoring of contaminants of emerging concern in effluent wastewater with dynamic headspace gas chromatography mass spectrometry analysis

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4 citations
Journal of Chromatography A
Analytical chemistry methods development
3.01
article

Real-time monitoring of contaminants of emerging concern in effluent wastewater with dynamic headspace gas chromatography mass spectrometry analysis

Kayla Nielsen, Jan H. Christensen, Jianguo Dan, Tore Vulpius, Mathias B. Jørgensen
article en
4 citations

Abstract

Wastewater treatment plants are a major source of contamination, introducing pharmaceuticals, pesticides, and combustion products into aquatic environments. Currently, real-time monitoring of parameters such as nitrate and ammonia enables automatical control of these plants. In this paper we present the implementation and development of a dynamic headspace gas chromatography mass spectrometry method for real-time monitoring of contaminants of emerging concern in effluent wastewater. We observed a clear relation between polarity, water solubility, and analytical sensitivity, with the lowest sensitivity for the most polar compounds. Limits of quantification ranged from 15 to 3000 ng L<sup>-1</sup> in full scan mode depending on the physico-chemical properties of the internal standards. Both the proprietary software MassHunter and open-source software PARADISe were used for non-target screening. Both software solutions were in general able to identify similar compound structures and sample time profiles using the specified data processing methods. The identified non-target compounds were typically semipolar aromatic compounds such as fuel-related compounds, transformation products from biological wastewater treatment, and compounds such as the UV blocker benzophenone and the odorant amberonne.

Journal of Chromatography AVol. 1749
University of Copenhagen (DK), Dantec Dynamics (Denmark) (DK)
Innovationsfonden
Clean water and sanitation
Openalex Percentile: Top 10%
Analytical chemistry methods development
3.01
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