Literature DB >> 35150706

Hybrid ZnO nanostructures modified graphite electrode as an efficient urea sensor for environmental pollution monitoring.

Durgalakshmi Dhinasekaran1, Prabha Soundharraj2, Mohanraj Jagannathan2, Ajay Rakkesh Rajendran3, Saravanan Rajendran4.   

Abstract

Herein, we propose a facile electrochemical sensing platform for urea detection using pencil graphite electrode modified nanocomposites of CuO/ZnO and Fe2O3/ZnO. The detection of urea is essential to monitor for identifying its pollution in the water, at the soil surface and in diagnosing urea cycle disorder related diseases. Therefore, an effective, accurate, cost-effective method of diagnosis is urgently needed. Nanostructured metal oxides have the potential ability to detect molecules even at trace level and to explore this, the present work is formulated with Cu and Fe based ZnO nanocomposites for enhancing the sensing performance towards electrochemical sensing of urea. The sensing responses were confirmed from the increase in oxidation current with respect to the concentration of urea. The results show that Fe2O3/ZnO coated graphite electrode has a higher response against urea compared to ZnO and CuO/ZnO. The cyclic voltammetry studies also validate urea sensing of Fe-ZnO in the linear range of 0.8 μg/mL to 4 μg/mL, with the detection limit of 2.5 μg/mL. This suggests that the cost-effective pencil graphite electrode modified Fe2O3/ZnO can be utilized as a promising analytical tool for urea sensing.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Electrochemical sensing; Environmental pollution; Pencil graphite electrode; Urea; Zinc oxides

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Year:  2022        PMID: 35150706     DOI: 10.1016/j.chemosphere.2022.133918

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Characteristics of PM2.5 in an Industrial City of Northern China: Mass Concentrations, Chemical Composition, Source Apportionment, and Health Risk Assessment.

Authors:  Wenyu Bai; Xueyan Zhao; Baohui Yin; Liyao Guo; Wenge Zhang; Xinhua Wang; Wen Yang
Journal:  Int J Environ Res Public Health       Date:  2022-04-29       Impact factor: 4.614

  1 in total

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