Publication: Development of non-enzymatic N-doped graphene supported cobalt/iron amperometric based sensor for glucose detection in urine
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2019-01-24
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2-s2.0-85062784001
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Mahidol University
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SCOPUS
Bibliographic Citation
2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. (2019), 577-582
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Metini Janyasupab, Chamras Promptmas Development of non-enzymatic N-doped graphene supported cobalt/iron amperometric based sensor for glucose detection in urine. 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. (2019), 577-582. doi:10.1109/IECBES.2018.8626693 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/50863
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Development of non-enzymatic N-doped graphene supported cobalt/iron amperometric based sensor for glucose detection in urine
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Abstract
© 2018 IEEE We presented a cost-effective design of electrochemical based biosensor for non-enzymatic glucose detection in urine. By incorporating low-cost, non-precious cobalt (Co)/iron (Fe) metals, the sensor was employed onto the three-electrode system for quantifying glucose level from 0 to 3.25 mM in artificial urine medium and clinical simulated urine solution, namely, Surine. In particular, the fabricated CoFe nanoparticles on N-doped graphene (NG) biosensor was assessed electrochemical performances by cyclic voltammetry and amperometry at applied potential of +0.90 V versus Ag/AgCl, in comparison with that of CoFe on carbon supported. Based on the results, it was found that two processes of catalytic oxidation and oxide depletion are involved in glucose detection. More importantly, the as-prepared biosensor exhibited an outstanding sensitivity of 476.67 µA.cm-2.mM-1 with R2 of 0.9974 in Surine. Furthermore, the low limit of detection was estimated to be 37.7 µM (signal-to-noise ratio of 3) with an excellent anti-interference property toward ascorbic acid, uric acid, and chlorine ions, providing a promising advancement for future glucose measurement in urine, applicable for sustainable diabetic prognosis and management.