Synthesis, Characterization, and Electrochemical Activities of Ag-Doped Cufe2o4 for Dopamine Detection on Modified Glassy Carbon Electrode DOI

Hana Boucheta,

Emna Zouaoui,

Yasemin Öztekin

et al.

Published: Jan. 1, 2024

A sensitive electrochemical determination of dopamine (DA) using Ag doped CuFe2O4 modified glassy carbon (GC) electrode was developed. The AgxCu1-xFe2O4 catalyst (x= 0.02) synthesized by the conventional co-precipitation method and thermally treated at 750°C. structure, surface morphologies, elemental composition, textural properties as-prepared (Ag0.02Cu0.98Fe2O4) were analyzed X-ray diffraction, Fourier Transform-Infrared Spectroscopy, Scanning Electron Microscopy coupled with Energy Dispersive Brunauer-Emmett-Teller analysis. results confirmed successful preparation spinel copper ferrite a area 25.391 m2.g-1. prepared applied for modification GC together diallyldimethylammonium chloride monomer (DDA) electrodeposition method. bare surfaces characterized cyclic voltammetry, impedance spectroscopy atomic force microscope technique detection. Compared electrode, Ag0.02Cu0.98Fe2O4/DDA showed good behavior toward DA in terms selectivity presence interferences sensitivity. Moreover, detection limit calculated as 0.15 µM linear range 5µM-25µM.

Language: Английский

Synergistic shielding of copper from nitric acid corrosion: Unveiling the mechanisms through electrochemical, characterization, and computational insights with 2-Hydroxybenzaldehyde oxime DOI

Nassima Ramdane,

Zoubida Marsa,

Amel Delimi

et al.

Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: 165, P. 112479 - 112479

Published: April 29, 2024

Language: Английский

Citations

14
Duality application analysis of bismuth vanadate (BiVO4) as non-enzymatic glucose sensor and supercapacitor DOI

D. AnnieCanisius,

P. Joselene Suzan Jennifer,

M. Joe Raja Ruban

et al.

Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: unknown, P. 113591 - 113591

Published: Nov. 1, 2024

Language: Английский

Citations

5
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review DOI Creative Commons

Yu Liu,

Boyuan Wang

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 21, 2025

The escalating demand for chronic disease management has presented substantial challenges to traditional methods. However, the emergence of Internet Things (IoT) and artificial intelligence (AI) technologies offers a potential resolution by facilitating more precise through data-driven strategies. This review concentrates on utilization IoT mobile sensing devices in managing major diseases such as cardiovascular diseases, cancer, respiratory diabetes. It scrutinizes their efficacy diagnosis when integrated with machine learning algorithms, ANN, SVM, RF, deep models. Through an exhaustive literature review, this study dissects how these aid risk assessment, personalized treatment planning, management. research addresses gap existing concerning application AI specific diseases. particularly demonstrates methodological novelty introducing advanced models based learning, tight frame-based methodologies real-time monitoring systems. employs rigorous examination method, which includes systematically searching relevant databases, filtering that meets inclusion exclusion criteria, adopting quality assessment tools ensure rigor selected studies. identifies biases weaknesses related data collection, algorithm selection, user interaction. platforms integrating algorithms are not only technically viable but also yield economic social advantages real-world applications. Future studies could investigate use quantum computing processing vast medical datasets novel techniques merge biosensors nanotechnology drug delivery surveillance. Furthermore, paper examines recent progress image reconstruction, emphasizing methodologies. We discuss principles, benefits, constraints methods, assessing across diverse contexts.

Language: Английский

Citations

0
Applications and prospects of biomaterials in diabetes management DOI Creative Commons
Wei‐jie Guan, Liang Zhang

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: March 7, 2025

Diabetes is a widespread metabolic disorder that presents considerable challenges in its management. Recent advancements biomaterial research have shed light on innovative approaches for the treatment of diabetes. This review examines role biomaterials diabetes diagnosis and treatment, as well their application managing diabetic wounds. By evaluating recent developments alongside future obstacles, highlights promising potential care, underscoring importance enhancing patient outcomes refining methodologies.

Language: Английский

Citations

0
Synthesis, Characterization, and Electrochemical Activities of Ag-Doped Cufe2o4 for Dopamine Detection on Modified Glassy Carbon Electrode DOI

Hana Boucheta,

Emna Zouaoui,

Yasemin Öztekin

et al.

Published: Jan. 1, 2024

A sensitive electrochemical determination of dopamine (DA) using Ag doped CuFe2O4 modified glassy carbon (GC) electrode was developed. The AgxCu1-xFe2O4 catalyst (x= 0.02) synthesized by the conventional co-precipitation method and thermally treated at 750°C. structure, surface morphologies, elemental composition, textural properties as-prepared (Ag0.02Cu0.98Fe2O4) were analyzed X-ray diffraction, Fourier Transform-Infrared Spectroscopy, Scanning Electron Microscopy coupled with Energy Dispersive Brunauer-Emmett-Teller analysis. results confirmed successful preparation spinel copper ferrite a area 25.391 m2.g-1. prepared applied for modification GC together diallyldimethylammonium chloride monomer (DDA) electrodeposition method. bare surfaces characterized cyclic voltammetry, impedance spectroscopy atomic force microscope technique detection. Compared electrode, Ag0.02Cu0.98Fe2O4/DDA showed good behavior toward DA in terms selectivity presence interferences sensitivity. Moreover, detection limit calculated as 0.15 µM linear range 5µM-25µM.

Language: Английский

Citations

0