CuONPs/MWCNTs/carbon paste modified electrode for determination of tramadol: theoretical and experimental investigation.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
17 05 2023
Historique:
received: 08 11 2022
accepted: 03 05 2023
medline: 19 5 2023
pubmed: 18 5 2023
entrez: 17 5 2023
Statut: epublish

Résumé

A practical technique was applied to fabricate CuO nanostructures for use as the electrocatalyst. The green synthesis of cupric oxide nanoparticles (CuO NPs) via co-precipitation is described in this paper using an aqueous extract of Origanum majorana as both reductant and stabilizer, accompanied by characterization via XRD, SEM, and FTIR. The XRD pattern revealed no impurities, whereas SEM revealed low agglomerated spherical particles. CuO nanoparticles and multi wall carbon nanotubes (MWCNTs) have been used to create a modified carbon paste electrode. Voltammetric methods were used to analyze Tramadol using CuONPs/MWCNT as a working electrode. The produced nanocomposite showed high selectivity for Tramadol analysis with peak potentials of ~ 230 mV and ~ 700 mV and Excellent linear calibration curves for Tramadol ranging from 0.08 to 500.0 µM with a correlation coefficient of 0.9997 and detection limits of 0.025. Also, the CuO NPs/MWCNT/CPE sensor shows an an appreciable sensitivity of 0.0773 μA/μM to tramadol. For the first time the B3LYP/LanL2DZ, quantum method was used to compute DFT to determine nanocomposites' connected energy and bandgap energy. Eventually, CuO NPs/CNT was shown to be effective in detecting Tramadol in actual samples, with a recovery rate ranging from 96 to 104.3%.

Identifiants

pubmed: 37198239
doi: 10.1038/s41598-023-34569-y
pii: 10.1038/s41598-023-34569-y
pmc: PMC10192210
doi:

Substances chimiques

Tramadol 39J1LGJ30J
cupric oxide V1XJQ704R4
Nanotubes, Carbon 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7999

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Razieh Razavi (R)

Department of Chemistry, Faculty of Science, University of Jiroft, Jiroft, Iran.

Mahnaz Amiri (M)

Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Science, Kerman, Iran. ma.amiri@kmu.ac.ir.

Kouros Divsalar (K)

Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Science, Kerman, Iran.

Alireza Foroumadi (A)

Department of Medicinal Chemistry, Faculty of Pharmacy, Drug Design & Development Research Center, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.

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Classifications MeSH