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Mathematical Modelling of Glyphosate Molecularly Imprinted Polymer-Based Microsensor with Multiple Phenomena
Fares Zouaoui1, Saliha Bourouina-Bacha2, Mustapha Bourouina2
1Institute of Analytical Sciences, University of Lyon, 69100 Villeurbanne, France.
Molecules (Basel, Switzerland)
|January 21, 2022
Summary
A new microsensor using molecularly imprinted chitosan can detect glyphosate (GLY) in environmental samples. This method analyzes electrochemical impedance spectroscopy data to quantify GLY concentration, offering a simple detection approach.
Area of Science:
- Electrochemistry
- Biosensors
- Environmental Science
Background:
- Glyphosate (GLY) is widely used in agriculture, leading to environmental concerns.
- Simple and effective detection methods for GLY are needed.
- Electrochemical impedance spectroscopy (EIS) is a powerful tool for interface analysis.
Purpose of the Study:
- To develop and analyze a microsensor for glyphosate detection.
- To model experimental impedance data using physical theories.
- To understand the electrochemical processes involved in glyphosate detection.
Main Methods:
- Utilized a microsensor based on molecularly imprinted chitosan grafted on 4-aminophenylacetic acid.
- Analyzed experimental impedance data using an exact mathematical model.
- Investigated the relationship between charge transfer resistance, capacitance, and glyphosate concentration.
Main Results:
- The relative variation of charge transfer resistance correlated with the logarithm of glyphosate concentration.
- Capacitance decreased with increasing glyphosate concentration due to discharging of imprinted sites.
- Glyphosate interaction with imprinted sites was observed via electrostatic interactions.
Conclusions:
- The developed microsensor provides a viable method for glyphosate detection.
- EIS analysis offers insights into the microscopic parameters of the detection process.
- The study explains the electrochemical mechanisms underlying glyphosate detection by the CS-MIPs film.
