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A Sensor Array Based on Molecularly Imprinted Polymers and Machine Learning for the Analysis of Fluoroquinolone
Mingyue Wang1, Xavier Cetó1, Manel Del Valle1
1Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Faculty of Sciences, 08193 Bellaterra, Barcelona, Spain.
ACS Sensors
|October 25, 2022
Summary
This study introduces a voltammetric electronic tongue for simultaneously detecting three fluoroquinolones (FQs) in pharmaceuticals and biological samples. The novel sensor system demonstrates high sensitivity and accuracy for monitoring these crucial antibiotics.
Area of Science:
- Analytical Chemistry
- Materials Science
- Environmental Science
Background:
- Fluoroquinolones (FQs) are vital antibiotics, but their widespread use necessitates monitoring due to antibiotic residue and resistance concerns.
- Existing methods for FQ detection can be complex and time-consuming, highlighting the need for rapid and simultaneous analytical techniques.
- The development of sensitive and selective sensors is crucial for ensuring the safe use of FQs in clinical, poultry, and aquaculture settings.
Purpose of the Study:
- To develop and validate a voltammetric electronic tongue (ET) for the simultaneous determination of ciprofloxacin, levofloxacin, and moxifloxacin.
- To create novel sensors using molecularly imprinted polymers (MIPs) integrated with gold nanoparticle-decorated multiwall carbon nanotubes (Au-fMWCNTs).
- To assess the ET's performance in analyzing FQs in pharmaceutical formulations and biological matrices like human urine.
Main Methods:
- Fabrication of an electronic tongue comprising four sensors, three modified with MIPs and one with a nonimprinted polymer, all on Au-fMWCNT platforms.
- Characterization of sensor morphology using scanning electron microscopy (SEM) and transmission electron microscopy (TEM).
- Electrochemical characterization and optimization of sensor performance for simultaneous FQ detection.
Main Results:
- The developed MIP(FQs)@Au-fMWCNT sensors achieved limits of detection around 1 μM and a wide detection range up to 300 μM for the target FQs.
- The electronic tongue demonstrated high accuracy and reliability for simultaneous FQ determination in mixtures, with R² values ≥0.960.
- Successful application of the ET for analyzing FQs in commercial pharmaceutical products and spiked human urine samples.
Conclusions:
- The voltammetric electronic tongue offers a sensitive, selective, and reliable platform for the simultaneous monitoring of key fluoroquinolones.
- The integration of MIPs with Au-fMWCNT nanomaterials provides an effective strategy for enhancing sensor performance.
- This developed ET system holds significant potential for routine analysis in pharmaceutical quality control and environmental/biological sample monitoring.
Keywords:
antibioticsartificial neural networkselectronic tonguesfluoroquinolonesmolecularly imprinted polymerspharmaceutical analysis
