scispace - formally typeset
M

Magda H. Abdellattif

Researcher at Taif University

Publications -  102
Citations -  719

Magda H. Abdellattif is an academic researcher from Taif University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 7, co-authored 48 publications receiving 175 citations.

Papers
More filters
Journal ArticleDOI

Synthesis, structures, DNA-binding and anticancer activities of some copper(I)-phosphine complexes

TL;DR: Copper(I) complexes with a phenanthroline-phosphine set of ligands were synthesized by refluxing methanolic solutions of CuBr2 with at least a four fold molar excess of the phosphine ligands.
Journal ArticleDOI

Biodiesel production from waste cooking oil using a novel biocatalyst of lipase enzyme immobilized magnetic nanocomposite

TL;DR: In this paper , a modified Fe 3 O 4 magnetic nanoparticle was used for converting waste cooking oil (WCO) to biodiesel, which achieved a high yield of 96% at a temperature of 40 °C, molar ratio of 4:1, contact time of 30 h, and catalyst dosage of 1 g.
Journal ArticleDOI

Recent advances in chemistry and pharmacological aspects of 2-pyridone scaffolds

TL;DR: It is demonstrated that the fused 2-pyridone is a versatile scaffold for biological applications and can be used as a guide for future structure-activity relationship and mode of action studies.
Journal ArticleDOI

MgAl-Layered Double Hydroxide Solid Base Catalysts for Henry Reaction: A Green Protocol

Magda H. Abdellattif, +1 more
- 29 Mar 2018 - 
TL;DR: In this paper, a series of MgAl-layered double hydroxide (MgAl) and calcined form at 500 °C and rehydrated one at 25 °C were synthesized and the physicochemical properties of the catalysts were characterized by X-ray diffraction and scanning electron microscopy (SEM).
Journal ArticleDOI

Calotropis procera extract as an environmental friendly corrosion Inhibitor: Computational demonstrations

TL;DR: In this paper, a computational analysis of the phytochemicals present in the Calotropis procera flower has been carried out with the aid of computational analyses to find out the most effective one.