Chemical Properties of Cerium (III) Hexacyanoferrate (II/III) on Graphene Oxide Chemically Modified with a PAMAM Dendrimer and Application as a Sensor for l‐Dopamine Detection

ChemistrySelect, Год журнала: 2025, Номер 10(2)

Опубликована: Янв. 1, 2025

Abstract A novel functional platform comprising graphene oxide (GO) and a PAMAM dendrimer (GO‐PAMAM) is presented herein, subsequently modified with Ce(III) ions potassium hexacyanoferrate (III) to form complex incorporating (II/III) redox species. The resulting hybrid material was characterized by different spectroscopic techniques such as X‐ray photoelectron spectroscopy (XPS), Fourier transform infrared (FTIR), diffraction (XRD), cyclic voltammetry studies. Electrochemical assessments, specifically voltammetry, demonstrated the suitability of electrode for electrocatalytic detection l ‐dopamine. linear response observed from 2.0 × 10⁻⁶ 4.0 10⁻⁵ mol L⁻¹. limit 4.09 10⁻⁷ L⁻¹ standard deviation ±3% ( n = 3), while amperometric sensitivity determined 195.28 mA/mol

Язык: Английский

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Facile fabrication of a non-enzymatic electrochemical sensor based on poly(o-phenylenediamine)/Ni(OH)2–NiOOH hybrids for the detection of myo-inositol

Microchemical Journal, Год журнала: 2025, Номер unknown, С. 112826 - 112826

Опубликована: Янв. 1, 2025

Язык: Английский

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Multifunctional Chitosan/Montmorillonite/TiO2 Nanocomposites: correlating microstructure with dielectric and photocatalytic properties

Journal of the Indian Chemical Society, Год журнала: 2025, Номер 102(3), С. 101606 - 101606

Опубликована: Фев. 1, 2025

Язык: Английский

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MWCNT-OH/graphene composite sensor for nonenzymatic detection of paraoxon-ethyl in agricultural samples

Carbon letters, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Язык: Английский

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Mof-Derived N-Doped Porous Carbon Anchoring Atomically-Dispersed Fe for Electrochemical Sensing of Paracetamol

Опубликована: Янв. 1, 2025

Язык: Английский

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Recent progress on mass-sensitive gas sensors for environmental and industrial applications

Measurement, Год журнала: 2025, Номер unknown, С. 117039 - 117039

Опубликована: Фев. 1, 2025

Язык: Английский

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Voltammetric Sensors for the Analysis of Agricultural-Related Biomolecules

Опубликована: Янв. 1, 2025

Язык: Английский

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Hybrid nanocomposite design: exploring the interplay between microstructure, dielectric properties, and photocatalytic activities in Chitosan/Na-Montmorillonite/Fe3O4 nanoparticles

Emergent Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

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Research Progress and Application Prospect of Paper-Based Pressure Sensor

Material Sciences, Год журнала: 2025, Номер 15(04), С. 622 - 629

Опубликована: Янв. 1, 2025

Язык: Английский

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Near-Infrared Hyperspectral Target Tracking Based on Background Information and Spectral Position Prediction

Applied Sciences, Год журнала: 2025, Номер 15(8), С. 4275 - 4275

Опубликована: Апрель 12, 2025

In order to address the problems of in-plane rotation and fast motion during near-infrared (NIR) video target tracking, this study explores application capsule networks in NIR proposes a network method based on background information spectral position prediction. First, history frame extraction module is proposed. This performs matching images through average curve groundtruth value makes rough distinction between background. On basis, frames stored as pool for subsequent operations. The proposed routing combines traditional algorithm with information. Specifically, similarity feature space calculated, weight allocation mechanism dynamically adjusted. Thus, discriminative ability strengthened. Finally, prediction locates center search region next by fusing features adjacent current frame. effectively reduces computational complexity improves tracking stability. Experimental evaluations demonstrate that novel framework achieves superior performance compared methods, attaining 70.3% success rate 88.4% accuracy data. Meanwhile, visible spectrum (VIS) data analysis, architecture maintains competitive effectiveness 59.6% 78.8% precision.

Язык: Английский

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