Abstract
A measuring system based on sequential injection analysis (SIA) for the detection of the herbicide glyphosate and its main metabolite aminomethylphosphonic acid (AMPA) in natural waters is presented. The system is automated to enable an unattended monitoring of the analytes. Due to its compact manifold it can easily be integrated into existing observing systems or could be used on board of research vessels. Here we show the experimental setup and the results of the system’s performance during experimental periods of 20 hours in the laboratory as well as in an observing station situated at the Elbe river in Hamburg, Germany. An incident with elevated glyphosate and AMPA concentrations was simulated by injecting spiked river water samples. The results show a good stability of the system over the experimental period.
Highlights
The target compound in this study is glyphosate, the active ingredient of one of the most widely applied herbicides
A study investigated the runoff of glyphosate and aminomethylphosphonic acid (AMPA) from an urban Area in Belgium
The presented sequential injection analysis (SIA) system was evaluated with regard to its applicability as an incident monitoring tool for the detection of glyphosate and AMPA in natural waters
Summary
The target compound in this study is glyphosate, the active ingredient of one of the most widely applied herbicides. In this study an automated measuring system for the detection of glyphosate and its main metabolite AMPA (aminomethylphosphonic acid) in environmental waters is developed. Associated with water monitoring FIA and SIA methods are mainly applied for the observing of industrial sewage discharges and leachates from agriculture and landfills, for nutrient budget studies and for the data acquisition for environmental databases. Glyphosate is a secondary amine and needs to be oxidized with calciumhypochlorite (Ca(OCl)2) to glycine before the derivatization reaction This detection principle is generally realized as an HPLC method with post-column derivatization [22, 23]. The proposed method is considered to be a potential incident monitoring tool for the detection of glyphosate and AMPA in areas where leaching of the contaminants into the water phase is likely to occur
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