Suppr超能文献

基于丙二酰的化学传感器:在水性介质中对铁离子的选择性检测

Malonyl-based Chemosensors: Selective Detection of Fe Ion in Aqueous Medium.

作者信息

Kumar Monu, Gupta Neha, Singh Amit Pratap

机构信息

Department of Applied Sciences, National Institute of Technology Delhi, New Delhi-, 110 040, India.

出版信息

Anal Sci. 2020 Jun 10;36(6):659-663. doi: 10.2116/analsci.19P299. Epub 2019 Nov 22.

Abstract

Two novel malonyl-based chemosensors, N,N'-bis(ethyl-4'-benzoate)-1,3-propanediamide (1) and N,N'-bis(ethyl-3'-benzoate)-1,3-propanediamide (2), have been synthesized and screened towards various biologically important metal ions such as Na, Mg, K, Ca, Al, Cr, Mn, Fe, Fe, Co, Ni, Cu, Zn, Ag, Cd, Hg, Ti, and Pb. The emission spectral studies of both 1 and 2 displayed 84 - 91% turn-off emission responses selectively with Fe ion in aqueous buffer (MeCN/HO, 1:4, v/v, pH = 7.4) solution. Chemosensors 1 and 2 exhibited remarkable sensing ability towards Fe ion over other metal ions with limit of detection (LOD) of 4.28 and 4.33 μM, respectively. The binding stoichiometry of 1 and 2 with Fe ion was studied by Benesi-Hildebrand fitting, Stern-Volmer plot and Job's plots, revealing that both chemosensors (1 - 2) bind with Fe metal ion in 1:1 stoichiometric ratio with the apparent association constant (K) 8.90 × 10 and 11.16 × 10 M, respectively. Furthermore, the interactions of chemosensors (1 - 2) with metal ion were also investigated by using density functional theory (DFT) at B3LYP hybrid functional using 6-31G and LanL2DZ basis sets.

摘要

已合成了两种新型的基于丙二酰的化学传感器,即N,N'-双(乙基-4'-苯甲酸酯)-1,3-丙二酰胺(1)和N,N'-双(乙基-3'-苯甲酸酯)-1,3-丙二酰胺(2),并针对各种具有重要生物学意义的金属离子进行了筛选,如钠、镁、钾、钙、铝、铬、锰、铁、钴、镍、铜、锌、银、镉、汞、钛和铅。对1和2的发射光谱研究表明,在水缓冲溶液(MeCN/H₂O,1:4,v/v,pH = 7.4)中,它们对铁离子有选择性的84 - 91%的猝灭发射响应。化学传感器1和2对铁离子的传感能力显著优于其他金属离子,检测限(LOD)分别为4.28和4.33 μM。通过贝内西-希尔德布兰德拟合、斯特恩-沃尔默图和乔布图研究了1和2与铁离子的结合化学计量,结果表明两种化学传感器(1 - 2)均以1:1的化学计量比与铁金属离子结合,表观缔合常数(K)分别为8.90×10⁴和11.16×10⁴ M⁻¹。此外,还使用密度泛函理论(DFT)在B3LYP杂化泛函下,采用6 - 31G和LanL2DZ基组研究了化学传感器(1 - 2)与金属离子的相互作用。

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