Rapid and simple method for glyphosate, aminomethylphosphonic acid, and sarcosine pre-concentration and determination in environmental samples after molecularly imprinted solid-phase extraction
Year: 2025
Type: article
Abstract: This study presents a selective and efficient analytical method for the simultaneous determination of glyphosate (GLY), aminomethylphosphonic acid (AMPA), and sarcosine (SAR) in environmental water and honey samples using commercial molecularly imprinted solid-phase extraction (MIP-SPE) coupled with tosyl chloride-based derivatization and high-performance liquid chromatography with UV detection (HPLC–UV). A central composite design (CCD) was employed to optimize key extraction parameters, including pH, sample volume, flow rate, and analyte concentration. Under optimized conditions, extraction recoveries exceeded 98 % for all analytes. Elution was optimized using 100 mM HCl, which provided superior recovery compared to basic eluents. The method showed excellent linearity (R 2 > 0.99), low detection limits (<0.4 μgL −1 ), and high precision (RSD<1.5 %). Application to real wastewater, river water, and honey samples confirmed high recoveries and minimal matrix interference. This validated MIP-SPE-HPLC-UV procedure provides a robust, cost-effective, and environmentally friendly solution for monitoring trace levels of polar contaminants in complex matrices. • The method enables simultaneous detection of glyphosate and its two metabolites. • Tosyl chloride derivatization enhances UV detection of polar non-chromophoric targets. • Achieved <0.4 μg L −1 LODs in wastewater, river water, and honey with high recoveries. • DOE-based optimization ensures high efficiency and robustness. • Suitable for routine, large-scale monitoring of glyphosate-related residues.
Source: Environmental Pollution
Authors: Zahra Shamsi, Stefan B. Haderlein
Institution: University of Tübingen
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,090
Funder: Alexander von Humboldt-Stiftung
OpenAlex ID: W4413100944
