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Layer-by-layer sensor architecture of polymers and nanoparticles for electrochemical detection of uric acid in human urine samples
Authors:Lakshmi Devi Chakkarapani  Sivaranjani Arumugam  Martin Brandl
Affiliation:1. Department of Analytical Chemistry, School of Chemical Sciences, University of Madras, Chennai, 600 025, Tamil Nadu, India;2. Center for Water and Environmental Sensors, Danube-University Krems, 3500, Krems, Austria;3. Department of Micro-Nano Mechanical Science & Engineering, Graduate School of Engineering, Nagoya University, Nagoya, 464-8603, Japan
Abstract:Excessive uric acid levels in the human body (hyperuricemia) are the main causes of kidney stones and diabetes. In this study, a layer-by-layer arrangement of polymers and nanocomposites is used as a new electrode sensing material for rapid and direct electrochemical determination of uric acid (UA). The electrode surface architecture was constructed by the incorporation of poly (amidoamine) dendrimer with 0.5 generation (poly (amidoamine) [PAMAM] [D-G0.5]) of multiwalled carbon nanotube-silver nanoparticles (MWCNT-AgNP) and a poly (neutral-red) (poly [NR]) polymer. The PAMAM (D-G0.5)/MWCNT-AgNP/poly (NR)-coated electrode has a good electrocatalytic activity for the determination of UA using cyclic voltammetry and showed remarkable enhancement in current response at a low-oxidation potential (0.3 V). Under optimal conditions, the developed electrochemical sensor showed an excellent and wide linear range for the determination of UA (i.e. 0.016 μM–2500 μM), and the limit of detection was found to be 0.005 μM. The modified sensor system demonstrated excellent sensitivity and selectivity toward the detection of UA in the presence of interfering substances, which are commonly found in urine and human fluid samples. Furthermore, the developed sensor has represented both reproducibility and excellent stability for the UA determination in real samples (human urine).
Keywords:Poly (amidoamine)  Poly (neutral-red)  Nanomaterials  Uric acid  Amperometric sensors
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