Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles
This manuscript reports the use of nanoparticle-modified voltammetric sensors for the rapid and green determination of chemical oxygen demand in river waters and waters from agricultural waste. Four different variants of modified electrodes have been prepared: CuO nanoparticles electrogenerated over...
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doaj-aa3a997064a946d7a24357000b219ca22021-02-28T00:01:42ZengMDPI AGChemosensors2227-90402021-02-019464610.3390/chemosensors9030046Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue PrinciplesQing Wang0Manel del Valle1Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, SpainSensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, SpainThis manuscript reports the use of nanoparticle-modified voltammetric sensors for the rapid and green determination of chemical oxygen demand in river waters and waters from agricultural waste. Four different variants of modified electrodes have been prepared: CuO nanoparticles electrogenerated over Cu and covered with Nafion film (CuO/Cu-Nf), and graphite–epoxy composites modified with Cu, CuO, and Cu–Ni alloy nanoparticles. The response features of these electrodes were assessed by calibrating them vs. glucose, glycine, ethyleneglycol, and hydrogenphtalate in alkaline media, as samples providing different difficulty in their (bio)degradation characteristics. The most sensitive electrode was demonstrated to be the (CuO/Cu-Nf) electrode, with an LOD of 12.3 mg O<sub>2</sub>·L<sup>−1</sup>. The joint information provided by the sensor array showed the ability of estimating both the organic load and the type of sample in terms of difficulty of degradation, in what can be named an intelligent sensor assembly.https://www.mdpi.com/2227-9040/9/3/46chemical oxygen demandvoltammetrycopper oxide electrodecopper nanoparticles electrodecopper oxide nanoparticles electrodenickel copper alloy nanoparticles electrode |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qing Wang Manel del Valle |
spellingShingle |
Qing Wang Manel del Valle Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles Chemosensors chemical oxygen demand voltammetry copper oxide electrode copper nanoparticles electrode copper oxide nanoparticles electrode nickel copper alloy nanoparticles electrode |
author_facet |
Qing Wang Manel del Valle |
author_sort |
Qing Wang |
title |
Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles |
title_short |
Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles |
title_full |
Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles |
title_fullStr |
Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles |
title_full_unstemmed |
Determination of Chemical Oxygen Demand (COD) Using Nanoparticle-Modified Voltammetric Sensors and Electronic Tongue Principles |
title_sort |
determination of chemical oxygen demand (cod) using nanoparticle-modified voltammetric sensors and electronic tongue principles |
publisher |
MDPI AG |
series |
Chemosensors |
issn |
2227-9040 |
publishDate |
2021-02-01 |
description |
This manuscript reports the use of nanoparticle-modified voltammetric sensors for the rapid and green determination of chemical oxygen demand in river waters and waters from agricultural waste. Four different variants of modified electrodes have been prepared: CuO nanoparticles electrogenerated over Cu and covered with Nafion film (CuO/Cu-Nf), and graphite–epoxy composites modified with Cu, CuO, and Cu–Ni alloy nanoparticles. The response features of these electrodes were assessed by calibrating them vs. glucose, glycine, ethyleneglycol, and hydrogenphtalate in alkaline media, as samples providing different difficulty in their (bio)degradation characteristics. The most sensitive electrode was demonstrated to be the (CuO/Cu-Nf) electrode, with an LOD of 12.3 mg O<sub>2</sub>·L<sup>−1</sup>. The joint information provided by the sensor array showed the ability of estimating both the organic load and the type of sample in terms of difficulty of degradation, in what can be named an intelligent sensor assembly. |
topic |
chemical oxygen demand voltammetry copper oxide electrode copper nanoparticles electrode copper oxide nanoparticles electrode nickel copper alloy nanoparticles electrode |
url |
https://www.mdpi.com/2227-9040/9/3/46 |
work_keys_str_mv |
AT qingwang determinationofchemicaloxygendemandcodusingnanoparticlemodifiedvoltammetricsensorsandelectronictongueprinciples AT maneldelvalle determinationofchemicaloxygendemandcodusingnanoparticlemodifiedvoltammetricsensorsandelectronictongueprinciples |
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1724247848196767744 |