Suppr超能文献

3D Nanoflowers of Binary Metal-Selenide for Improved Electrochemical Sensing and High-Energy-Density Energy Storage.

作者信息

Ramadhass Keerthika Devi, Lin Chun Che

机构信息

Institute of Organic and Polymeric Materials, Research and Development Center for Smart Textile Technology, National Taipei University of Technology, Taipei, 106, Taiwan (R.O.C).

出版信息

Small. 2025 Sep;21(37):e2505860. doi: 10.1002/smll.202505860. Epub 2025 Jul 11.

Abstract

Electrochemical sensing and energy storage devices are often hindered by the limited conductivity, low redox activity, and poor cycling stability of traditional electrode materials. To overcome these limitations, we report the design and synthesis of a novel 3D nanoflower-like nickel vanadium selenide (NF-NiVSe) architecture, formed by integrating nickel selenide (NiSe) nanoflakes and vanadium selenide (VSe) nanobelts. The bimetallic integration of Ni and V creates a hierarchically structured material with enhanced surface area, abundant electroactive sites, and efficient electron transport pathways. As an electrochemical sensor, NF-NiVSe demonstrates outstanding performance in detecting the anticancer drug nilutamide (NLT), with a low reduction potential (-0.53 V), high current response (-56.31 µA), and an ultralow detection limit of 0.2 nM, achieving ≈99% recovery in real samples. In supercapacitor applications, NF-NiVSe exhibits a high specific capacitance of 1695 F g⁻¹ at 1.5 A g⁻¹, excellent cycling retention (90% after 10,000 cycles), and 98% Coulombic efficiency. A symmetric NF-NiVSe//NF-NiVSe device achieves an energy density of 85 Wh kg⁻¹ at 1800 W kg⁻¹ and powers an LED, showcasing practical viability. The exceptional dual-functionality is attributed to the synergistic redox activity of Ni and V and the unique nanoflower morphology, positioning NF-NiVSe as a promising material for multifunctional applications.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9da/12444850/8f28f79d1510/SMLL-21-2505860-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验