Targeted LC-MS/MS method for quantifying respiratory pharmaceuticals in wastewater

Abstract

Background: Wastewater-based epidemiology (WBE) enables the population-level surveillance of molecular and chemical targets. Despite the high prevalence of respiratory diseases, there is a lack of sensitive analytical methods for detecting associated medications in complex wastewater matrices. Methods: We developed and validated a liquid chromatography-mass spectrometry (LC-MS)/MS method using multiple reaction monitoring for 10 common respiratory pharmaceuticals. The workflow integrated freeze-drying for preconcentration, online solid-phase extraction for cleanup, and stable isotope-labeled internal standards (SILs) to compensate for matrix effects. Results: Detection and quantification limits ranged from 0.7 to 19 ng L−1 and 3 to 125 ng L−1, respectively, with recoveries of 82–194% and precision within 0.14–7.2% relative standard deviation. Matrix effects (64–228%) were effectively corrected using SILs. Application to 12 neighborhood-level wastewater samples detected 9 of the 10 target compounds, with 6 (albuterol, amoxicillin, azithromycin, cetirizine, diphenhydramine, and fexofenadine), detected above their quantification limits. Fexofenadine was the most abundant, reaching 3309 ng L−1. Conclusion: This robust, low-volume, high-throughput LC-MS/MS method enables the reliable detection of respiratory pharmaceuticals in wastewater, supporting WBE applications for pharmaceutical use surveillance.

Graphical abstract: Targeted LC-MS/MS method for quantifying respiratory pharmaceuticals in wastewater

Supplementary files

Article information

Article type
Paper
Submitted
12 Sep 2025
Accepted
25 Nov 2025
First published
28 Nov 2025
This article is Open Access
Creative Commons BY license

Environ. Sci.: Water Res. Technol., 2026, Advance Article

Targeted LC-MS/MS method for quantifying respiratory pharmaceuticals in wastewater

R. L. Gasparetto, S. Bickel, X. Yin, T. Smith, A. Bhatnagar, R. H. Holm and X. Zhang, Environ. Sci.: Water Res. Technol., 2026, Advance Article , DOI: 10.1039/D5EW00894H

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