Mid-Infrared Quantum Cascade Laser Sensor System with Molecularly Imprinted Polymer Solid Phase Enrichment for Diclofenac Monitoring

Real-time monitoring of pharmaceutical micropollutants in wastewater remains challenging due to complex matrices and low target concentrations, limiting timely detection of emerging contaminants. We report a field-deployable wastewater spectroscopic analyzer (WSA) that combines mid-infrared quantum cascade laser spectroscopy (QCL) absorption spectroscopy with selective sample preconcentration to quantitatively identify diclofenac (DCF), a widely used anti-inflammatory drug and recognized EU priority pollutant, in wastewater. Raw samples are first filtered to remove particulates, then selectively concentrated using a diclofenac-molecularly imprinted polymer-based solid phase extraction (MIP-SPE), and finally eluted as a methanol solution into a mid-infrared flow cell for spectral quantification. This integrated workflow enables autonomous operation with minimal manual intervention, addressing a key limitation of conventional laboratory-based analysis. The technique was validated against reference chromatography/mass spectrometry methods during filed deployment at a hospital and a municipal wastewater treatment plant, showing strong agreement (91-92%) and confirming its potential as a practical tool for autonomous, real-time pharmaceutical surveillance and early-warning monitoring in wastewater.

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Publication Details

Journal
ACS Sensors
Published
2026-08-17
DOI
https://doi.org/10.1021/acssensors.6c01927
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.00

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article

Mid-Infrared Quantum Cascade Laser Sensor System with Molecularly Imprinted Polymer Solid Phase Enrichment for Diclofenac Monitoring

Miltiadis Vasileiadis, Sherman Lesly Zambou Jiokeng, Dionysis Adamou, Anthi Yfanti et al.
ACS Sensors
Analytical chemistry methods development
article

Mid-Infrared Quantum Cascade Laser Sensor System with Molecularly Imprinted Polymer Solid Phase Enrichment for Diclofenac Monitoring

Miltiadis Vasileiadis, Sherman Lesly Zambou Jiokeng, Dionysis Adamou, Anthi Yfanti, Boris Mizaikoff, G. Katsouras, Amelie Huber, Panagiotis Georgiadis, Zoe Zacharouli, Panagiotis Margaritis, Lauralie Debard
article en

Abstract

Real-time monitoring of pharmaceutical micropollutants in wastewater remains challenging due to complex matrices and low target concentrations, limiting timely detection of emerging contaminants. We report a field-deployable wastewater spectroscopic analyzer (WSA) that combines mid-infrared quantum cascade laser spectroscopy (QCL) absorption spectroscopy with selective sample preconcentration to quantitatively identify diclofenac (DCF), a widely used anti-inflammatory drug and recognized EU priority pollutant, in wastewater. Raw samples are first filtered to remove particulates, then selectively concentrated using a diclofenac-molecularly imprinted polymer-based solid phase extraction (MIP-SPE), and finally eluted as a methanol solution into a mid-infrared flow cell for spectral quantification. This integrated workflow enables autonomous operation with minimal manual intervention, addressing a key limitation of conventional laboratory-based analysis. The technique was validated against reference chromatography/mass spectrometry methods during filed deployment at a hospital and a municipal wastewater treatment plant, showing strong agreement (91-92%) and confirming its potential as a practical tool for autonomous, real-time pharmaceutical surveillance and early-warning monitoring in wastewater.

ACS Sensors
Albert Einstein College of Medicine (US), Universität Ulm (DE), Cyprus Research and Innovation Center (Cyprus) (CY), Alpes Lasers (Switzerland) (CH), Mitera Hospital (GR), EYDAP (Greece) (GR)
Universität Ulm, Horizon 2020 Framework Programme
Clean water and sanitation
Openalex Percentile: Top 14%
Analytical chemistry methods development
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