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Voltammetric Detection of Vanillylmandelic Acid and Homovanillic Acid Using Urea-Derivative-Modified Graphite
Tatiana V Shishkanova1, František Králík1, Alla Synytsya1
1Department of Analytical Chemistry, University of Chemistry and Technology, Technická 5, 166 28 Prague, Czech Republic.
This study explains how a modified graphite electrode differentiates neuroblastoma markers vanillylmandelic acid (VMA) and homovanillic acid (HVA). The electrode
Area of Science:
- Electrochemistry
- Analytical Chemistry
- Computational Chemistry
Background:
- Vanillylmandelic acid (VMA) and homovanillic acid (HVA) are key diagnostic markers for neuroblastoma.
- Accurate detection of VMA and HVA is crucial for early diagnosis and monitoring of neuroblastoma.
Purpose of the Study:
- To elucidate the mechanism behind the selective discrimination of VMA and HVA using a urea-derivative-modified graphite electrode.
- To understand the interactions between the electrode surface and these structural analogues at a molecular level.
Main Methods:
- Density Functional Theory (DFT) calculations to model binding sites and interactions.
- Fourier-Transform Infrared (FTIR) spectroscopy to analyze surface modifications and analyte binding.
- Electrochemical impedance spectroscopy (EIS) to study interfacial properties.
- Differential Pulse Voltammetry (DPV) for quantitative detection.
Main Results:
- DFT calculations identified optimal binding sites and revealed differences in analyte interactions.
- FTIR analysis indicated variations in NH vibrations, suggesting different orientations of the urea moiety for carboxylate discrimination.
- A stronger hydrogen-bonding interaction was observed with the more basic anion (VMA).
- The modified electrode successfully detected VMA and HVA individually at a concentration of 1.99 × 10⁻⁵ M with good recovery and precision.
Conclusions:
- The urea-derivative-coated graphite electrode effectively discriminates between VMA and HVA based on their chemical properties.
- The study provides molecular-level insights into the electrochemical sensing mechanism.
- This approach offers a promising method for the sensitive detection of neuroblastoma biomarkers.
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