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Fotouh R. Mansour

Researcher at Tanta University

Publications -  90
Citations -  1196

Fotouh R. Mansour is an academic researcher from Tanta University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 14, co-authored 66 publications receiving 681 citations. Previous affiliations of Fotouh R. Mansour include University of Tasmania & Miami University.

Papers
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Solidification of floating organic droplet in dispersive liquid-liquid microextraction as a green analytical tool.

TL;DR: The principle, optimization variables, advantages and disadvantages and some selected applications of DLLME-SFOD in water, food and biomedical analysis are discussed.
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Targeted magnetic iron oxide nanoparticles: Preparation, functionalization and biomedical application

TL;DR: This review covered possible methods of targeting IONPs to the specific site of action either by direct local injection, enhanced permeability and retention of the tumor or diseased tissue, external magnetic field guidance, or receptor-mediated endocytosis based on over-expressed receptors on target cell.
Journal Article

Pharmaceutical and biomedical applications of dispersive liquid–liquid microextraction B Analytical technologies in the biomedical and life sciences

TL;DR: Different modes of Dispersive liquid-liquid microextraction (DLLME) can be classified based on the dispersion technique or the density of the extractant as discussed by the authors.
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Pharmaceutical and biomedical applications of dispersive liquid–liquid microextraction

TL;DR: The dispersion process employed in DLLME dramatically increases the contact surface between the extractant and the sample, which enhances the extraction kinetics and efficiency and different factors affecting the extraction efficiency are discussed.
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Solvent-terminated dispersive liquid-liquid microextraction: a tutorial

TL;DR: By using solvents to terminate the dispersion step in DLLME, the centrifugation process is not necessary, which improves precision, increases throughput, decreases the risk of contamination through human intervention and minimizes the overall analysis time.