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Published on: February 1, 2018
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Ligand exchange based paraoxon imprınted QCM sensor
Ebru Birlik Özkütük1, Sibel Emir Diltemiz2, Elif Özalp1
1Department of Chemistry, Eskişehir Osmangazi University, Eskişehir, Turkey.
Summary
A novel paraoxon imprinted quartz crystal microbalance (QCM) sensor was developed for sensitive and selective paraoxon detection. This molecularly imprinted polymer (MIP) sensor demonstrates a low detection limit and high affinity for paraoxon.
Area of Science:
- Analytical Chemistry
- Materials Science
- Sensor Technology
Background:
- Paraoxon detection is crucial for environmental and food safety monitoring.
- Existing detection methods may lack selectivity or sensitivity.
- Molecularly imprinted polymers (MIPs) offer a promising approach for selective analyte recognition.
Purpose of the Study:
- To develop a highly selective and sensitive quartz crystal microbalance (QCM) sensor for paraoxon determination.
- To utilize a novel metal-chelate interaction for creating paraoxon-selective molecular memories.
- To investigate the analytical performance and binding characteristics of the developed MIP-QCM sensor.
Main Methods:
- Fabrication of a paraoxon-imprinted polymer (MIP) film on a QCM electrode.
- Utilizing metal-chelate interaction for creating imprinted sites.
- Characterization of the MIP film using FTIR, AFM, and ellipsometry.
- Evaluation of sensor performance including binding interaction, selectivity, and analytical parameters.
Main Results:
- The MIP-QCM sensor exhibited a low detection limit of 0.06 μM for paraoxon.
- An affinity constant (K(affinity)) of 2.25 × 10(4) M⁻¹ was determined for the paraoxon-MIP complex.
- The sensor demonstrated high selectivity for paraoxon over structurally similar compounds like parathion.
Conclusions:
- The developed paraoxon imprinted QCM sensor effectively combines the selectivity of MIPs with the sensitivity of QCM.
- The novel metal-chelate interaction approach facilitates the creation of robust molecular memories for paraoxon recognition.
- This MIP-QCM sensor shows significant potential for accurate and reliable paraoxon monitoring in various applications.

