Suppr超能文献

分子钴钒氧化物对阴离子的均相和非均相传感

Homogeneous and Heterogeneous Anion Sensing by a Molecular Cobalt-Vanadium Oxide.

作者信息

Heiland Magdalena, Seliverstov Andrey, Schwarz Benjamin, Anjass Montaha H, Streb Carsten

机构信息

Institute of Inorganic Chemistry I, Ulm University, Albert-Einstein-Allee 11, 89081, Ulm, Germany.

出版信息

Chemistry. 2017 Feb 10;23(9):2201-2205. doi: 10.1002/chem.201605392. Epub 2017 Jan 16.

Abstract

Spectroscopic anion sensing is a vital non-invasive tool in chemistry and biology. Here, a molecular cobalt-vanadium-oxide cluster was shown to be capable of selectively binding and detecting various mono-anions in solution and immobilized on a solid support. The cluster anion [Co(X)V O ] (X=mono-anion, for example, halide, pseudohalide, carboxylate, etc.) was formed spontaneously upon anion addition by self-assembly in solution. The cluster showed distinct spectral changes upon anion binding that could be followed spectroscopically and visually owing to a significant change of the solution color. DFT computations showed that the anion binding observed experimentally was correlated to the relative cluster stabilities. Competitive-binding studies showed that selective anion binding was possible from a mixture of anions. Immobilization of the anion sensor on silica strips provided access to single-use dip-stick sensors for the facile detection of anions in solution. The system presented enables the development of homogeneous or heterogeneous molecular anion sensors with possible applications in chemistry, bio-medical scenarios, and under harsh environmental conditions.

摘要

光谱阴离子传感是化学和生物学中一种重要的非侵入性工具。在此,一种分子钴 - 钒氧化物簇被证明能够选择性地结合并检测溶液中的各种单阴离子,并且可以固定在固体载体上。通过在溶液中自组装,加入阴离子后会自发形成簇阴离子[Co(X)VO](X = 单阴离子,例如卤化物、拟卤化物、羧酸盐等)。由于溶液颜色的显著变化,该簇在阴离子结合时显示出明显的光谱变化,这可以通过光谱和肉眼观察到。密度泛函理论计算表明,实验观察到的阴离子结合与簇的相对稳定性相关。竞争性结合研究表明,从阴离子混合物中实现选择性阴离子结合是可能的。将阴离子传感器固定在硅胶条上,可制成一次性的试纸传感器,用于轻松检测溶液中的阴离子。所展示的系统能够开发均相或异相分子阴离子传感器,在化学、生物医学场景以及恶劣环境条件下都可能有应用。

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