1. Characterization of a new ionophore-based ion-selective electrode for the potentiometric determination of creatinine in urine
- Author
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Tomàs Guinovart, Louis Adriaenssens, Francisco J. Andrade, Pablo Ballester, Pascal Blondeau, Daniel Hernández-Alonso, and F. Xavier Rius
- Subjects
Models, Molecular ,Porphyrins ,Potentiometric titration ,Biomedical Engineering ,Biophysics ,Analytical chemistry ,Ionophore ,Biosensing Techniques ,02 engineering and technology ,01 natural sciences ,Ion selective electrode ,Limit of Detection ,Electrochemistry ,Humans ,Potentiometric sensor ,Detection limit ,Chromatography ,Ionophores ,Chemistry ,010401 analytical chemistry ,Membranes, Artificial ,Equipment Design ,General Medicine ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Membrane ,Linear range ,Creatinine ,Potentiometry ,Calixarenes ,0210 nano-technology ,Selectivity ,Ion-Selective Electrodes ,Biotechnology - Abstract
The optimization, analytical characterization and validation of a novel ion-selective electrode for the highly sensitive and selective determination of creatinine in urine is presented. A newly synthesized calix[4]pyrrole-based molecule is used as an ionophore for the enhanced recognition of creatininium cations. The calculation of the complex formation constants in the polymeric membrane with creatininium, potassium and sodium confirms the strong selective interactions between the ionophore and the target. The optimization of the potentiometric sensor presented here yields an outstanding analytical performance, with a linear range that spans from 1µM to 10mM and limit of detection of 10-6.2M. The calculation of the selectivity coefficients against most commonly found interferences also show significant improvements when compared to other sensors already reported. The performance of this novel sensor is tested by measuring creatinine in real urine samples (N=50) and comparing the values against the standard colorimetric approach (Jaffe's reaction). The results show that this sensor allows the fast and accurate determination of creatinine in real samples with minimal sample manipulation.
- Published
- 2017