Nanomagnetic tetraaza (N 4 donor) macrocyclic Schiff base complex of copper(ii): synthesis, characterizations, and its catalytic application in Click reactions.
Masoomeh NorouziNasim NoormoradiMasoud MohammadiPublished in: Nanoscale advances (2023)
In this research, a novel nanomagnetic tetra-azamacrocyclic Schiff base complex of copper(ii) was produced via a post-synthetic surface modification of an Fe 3 O 4 surface by a silane-coupling agent that contains acetylacetone functionalities at the end of its chain. Moreover, the target Cu complex that involves a tetradentate Schiff base ligand was obtained from a template reaction with o -phenylenediamine and Cu(NO 3 ) 2 ·3H 2 O. Furthermore, the prepared complex was nominated as [Fe 3 O 4 @TAM-Schiff-base-Cu (II) ]. The Fourier-transform infrared (FT-IR) analysis indicates the presence of a Schiff-base-Cu complex in the catalyst. X-ray spectroscopy (EDS) and TGA analysis reveal that approximately 6-7% of the target catalyst comprises hydrocarbon moieties. The scanning electron microscope (SEM) and transmission electron microscopy (TEM) images demonstrate the presence of uniformly shaped particles, nearly spherical in nature, with sizes ranging from 9 to 18 nm. [Fe 3 O 4 @TAM-Schiff-base-Cu (II) ] was applied as a catalyst for the click synthesis of a diverse range of 5-substituted-1 H -tetrazoles in PEG-400 as a green medium. Regarding the electrical properties of the Cu(ii) complex, the presence of a tetra-aza (N 4 donor) macrocyclic Schiff base as an N-rich ligand was reasonable - leading to its excellent capacity to catalyze these organic transformations. Finally, the high magnetization value (44.92 emu g -1 ) of [Fe 3 O 4 @TAM-Schiff-base-Cu (II) ] enables its recycling at least four times without compromising the catalytic efficiency.
Keyphrases
- metal organic framework
- electron microscopy
- aqueous solution
- room temperature
- ionic liquid
- highly efficient
- magnetic resonance
- genome wide
- single cell
- molecular docking
- magnetic resonance imaging
- computed tomography
- photodynamic therapy
- machine learning
- deep learning
- convolutional neural network
- dna methylation
- optical coherence tomography
- electron transfer