Cargando…
An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites
Here, the voltammetric electrochemical approach was applied to detect uric acid (UA) in a conductive sensing medium (phosphate buffer solution-PBS) by using PbO-doped NiO nanocomposites (NCs)-decorated glassy carbon electrode (GCE) performing as working electrode. The wet-chemically prepared PbO-dop...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221126/ https://www.ncbi.nlm.nih.gov/pubmed/35735529 http://dx.doi.org/10.3390/bios12060381 |
_version_ | 1784732544334299136 |
---|---|
author | Alam, Md Mahmud Asiri, Abdullah M. Rahman, Mohammed M. |
author_facet | Alam, Md Mahmud Asiri, Abdullah M. Rahman, Mohammed M. |
author_sort | Alam, Md Mahmud |
collection | PubMed |
description | Here, the voltammetric electrochemical approach was applied to detect uric acid (UA) in a conductive sensing medium (phosphate buffer solution-PBS) by using PbO-doped NiO nanocomposites (NCs)-decorated glassy carbon electrode (GCE) performing as working electrode. The wet-chemically prepared PbO-doped NiO NCs were subjected to characterization by the implementation of XRD, FESEM, XPS, and EDS analysis. The modified GCE was used to detect uric acid (UA) in an enzyme-free conductive buffer (PBS) of pH = 7.0. As the outcomes of this study reveal, it exhibited good sensitivity of 0.2315 µAµM(−1)cm(−2) and 0.2233 µAµM(−1)cm(−2), corresponding to cyclic (CV) and differential pulse (DPV) voltammetric analysis of UA, respectively. Furthermore, the proposed UA sensor showed a wider detection (0.15~1.35 mM) range in both electrochemical analysis methods (CV & DPV). In addition, the investigated UA sensor displayed appreciable limit of detection (LOD) of 41.0 ± 2.05 µM by CV and 43.0 ± 2.14 µM by DPV. Good reproducibility performance, faster response time and long-time stability in detection of UA were perceived in both electrochemical analysis methods. Finally, successful analysis of the bio-samples was performed using the recovery method, and the results were found to be quite acceptable in terms of accuracy. Thus, the findings indicate a reliable approach for the development of 5th generation biosensors using metal-oxides as sensing substrate to fulfill the requirements of portable use for in situ detection. |
format | Online Article Text |
id | pubmed-9221126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92211262022-06-24 An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites Alam, Md Mahmud Asiri, Abdullah M. Rahman, Mohammed M. Biosensors (Basel) Article Here, the voltammetric electrochemical approach was applied to detect uric acid (UA) in a conductive sensing medium (phosphate buffer solution-PBS) by using PbO-doped NiO nanocomposites (NCs)-decorated glassy carbon electrode (GCE) performing as working electrode. The wet-chemically prepared PbO-doped NiO NCs were subjected to characterization by the implementation of XRD, FESEM, XPS, and EDS analysis. The modified GCE was used to detect uric acid (UA) in an enzyme-free conductive buffer (PBS) of pH = 7.0. As the outcomes of this study reveal, it exhibited good sensitivity of 0.2315 µAµM(−1)cm(−2) and 0.2233 µAµM(−1)cm(−2), corresponding to cyclic (CV) and differential pulse (DPV) voltammetric analysis of UA, respectively. Furthermore, the proposed UA sensor showed a wider detection (0.15~1.35 mM) range in both electrochemical analysis methods (CV & DPV). In addition, the investigated UA sensor displayed appreciable limit of detection (LOD) of 41.0 ± 2.05 µM by CV and 43.0 ± 2.14 µM by DPV. Good reproducibility performance, faster response time and long-time stability in detection of UA were perceived in both electrochemical analysis methods. Finally, successful analysis of the bio-samples was performed using the recovery method, and the results were found to be quite acceptable in terms of accuracy. Thus, the findings indicate a reliable approach for the development of 5th generation biosensors using metal-oxides as sensing substrate to fulfill the requirements of portable use for in situ detection. MDPI 2022-05-31 /pmc/articles/PMC9221126/ /pubmed/35735529 http://dx.doi.org/10.3390/bios12060381 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alam, Md Mahmud Asiri, Abdullah M. Rahman, Mohammed M. An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title | An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title_full | An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title_fullStr | An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title_full_unstemmed | An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title_short | An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites |
title_sort | efficient enzyme-less uric acid sensor development based on pbo-doped nio nanocomposites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221126/ https://www.ncbi.nlm.nih.gov/pubmed/35735529 http://dx.doi.org/10.3390/bios12060381 |
work_keys_str_mv | AT alammdmahmud anefficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites AT asiriabdullahm anefficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites AT rahmanmohammedm anefficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites AT alammdmahmud efficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites AT asiriabdullahm efficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites AT rahmanmohammedm efficientenzymelessuricacidsensordevelopmentbasedonpbodopednionanocomposites |