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Glucose sensing via green synthesis of NiO-SiO<sub>2</sub> composites with citrus lemon peel extract
Univ Sindh, Pakistan.
Shah Abdul Latif Univ, Pakistan.
Univ Sindh, Pakistan.
Univ Sindh, Pakistan.
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2024 (English)In: Journal of materials science. Materials in electronics, ISSN 0957-4522, E-ISSN 1573-482X, Vol. 35, no 7, article id 490Article in journal (Refereed) Published
Abstract [en]

In this study, NiO-SiO2-based composites were synthesized through low-temperature aqueous chemical growth utilizing a facile, low-cost, and environmentally friendly approach. The composite systems were prepared using a combination of silica gel and citrus lemon peel extract. Due to the remarkable green chemicals in orange peel extract, porous nanostructures have been developed with thin sheet-like properties. The composite materials were examined in terms of their crystalline structure, morphology, optical band gap, and surface chemical composition. An advanced non-enzymatic glucose sensor developed from NiO-SiO2 composites exhibits rich surface oxygen vacancies and abundant catalytic sites. Based on sample 2, cyclic voltammetry revealed a linear glucose concentration range between 0.1 and 20 mM, chronoamperometry exhibited glucose concentration ranges between 0.1 and 14 mM, and linear sweep voltammetry revealed glucose concentration ranges from 0.1 to 10 mM. In enzymatic glucose sensors, the minimum level of detection was estimated to be 0.08 mM. A number of sensor characterization parameters were examined, including selectivity, stability, reproducibility, and real-time applications. In addition, electrochemical impedance spectroscopy (EIS) has shown that the NiO-SiO2 composite performs well in non-enzymatic glucose sensing due to its low charge transfer resistance and high electrochemical active surface area (ECSA). NiO-SiO2 composites could have significant biomedical, energy conversion, and storage applications based on the results obtained.

Place, publisher, year, edition, pages
SPRINGER , 2024. Vol. 35, no 7, article id 490
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:liu:diva-202316DOI: 10.1007/s10854-024-12156-9ISI: 001174942300011OAI: oai:DiVA.org:liu-202316DiVA, id: diva2:1850546
Note

Funding Agencies|Higher Education Commision, Pakistan [NRPU/8350/8330, RSP2024R79]; Higher Education Commission Pakistan; King Saud University, Riyadh, Saudi Arabia [2023-IRG-HBS-2, RESHUSC-001, RTG-2023-HBS-1]; Ajman University

Available from: 2024-04-10 Created: 2024-04-10 Last updated: 2024-04-10

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Mustafa, Elfatih Mohammed
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Physics, Electronics and MathematicsFaculty of Science & Engineering
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