Evidence map›Paper›PMID 42509286›Full record

ArticleAnalytical and bioanalytical chemistry2026

Comparative non-target screening of advanced oxidation process (AOP)-integrated industrial wastewater treatment using RP and mixed-mode chromatography.

Felix Drees, Max Reuschenbach, Gerrit Renner, Torsten C Schmidt

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Felix DreesInstrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, 45141, Essen, Germany.
Max ReuschenbachCentre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstraße 5, 45141, Essen, Germany.
Gerrit RennerInstrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, 45141, Essen, Germany. gerrit.renner@uni-due.de.ORCID http://orcid.org/0000-0003-3808-5890
Torsten C SchmidtInstrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, 45141, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced oxidation is increasingly integrated into industrial wastewater treatment to address complex, variable contaminant loads. Here, LC-HRMS non-target screening (NTS) was used to characterize an industrial WWTP incorporating a one-stage advanced oxidation process (AOP) and to compare reversed-phase (RP) and mixed-mode (MM) chromatography for expanding the accessible polarity window. Both methods delivered consistently high data quality, enabling robust feature-level comparisons. Cliff's δ and polarity descriptors indicated differences in feature distributions, while tentative matching to the NORMAN Substance Database suggested substantial overlap between RP and MM and pointed to potential database bias toward less polar compounds. Multivariate analyses captured treatment-driven chemical patterns: PCA separated AOP-treated samples most clearly with MM, consistent with enhanced sensitivity to polar transformation products, whereas RP more strongly differentiated influent from effluent, reflecting predominantly hydrophobic signals. PLS-DA confirmed these trends and enabled robust classification of sample types. Volcano analyses highlighted statistically significant increases, decreases, and persistent signals, showing that while biological treatment removed most components, a subset of AOP-derived features persisted into the final effluent. Overall, broadening the chromatographic window improves NTS-based process assessment and supports targeted optimization of treatment steps for problematic compounds.

Indexed as

Advanced oxidation processChromatographyIndustrial wastewaterNon-target screeningPolarityTransformation products

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.