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Rongjun Qu

Researcher at Ludong University

Publications -  24
Citations -  378

Rongjun Qu is an academic researcher from Ludong University. The author has contributed to research in topics: Adsorption & Langmuir adsorption model. The author has an hindex of 9, co-authored 24 publications receiving 201 citations.

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Fabrication of Schiff base decorated PAMAM dendrimer/magnetic Fe3O4 for selective removal of aqueous Hg(II)

TL;DR: In this article, Schiff base decorated PAMAM dendrimer/magnetic Fe3O4 composites were employed for removing Hg(II) with excellent adsorption and regeneration performance.
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Preparation of magnetic polymeric composite nanoparticles by seeded emulsion polymerization

TL;DR: Seeded emulsion polymerization was used to prepare magnetic polymeric composite nanoparticles (MPCNPs) with the aim to successfully encapsulate magnetite particles and to improve particle size distribution as discussed by the authors.
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Preparation of bifunctional polysilsesquioxane/carbon nanotube magnetic composites and their adsorption properties for Au (III)

TL;DR: In this paper, a bifunctional polysilsesquioxane/carbon nanotube magnetic composites were prepared by coating the polysils quioxane with amino and thiol groups on CNTs-COOH embedded with magnetic ferroferric oxide (Fe3O4).
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Fabrication of Triethylenetetramine Terminal Hyperbranched Dendrimer-Like Polymer Modified Silica Gel and Its Prominent Recovery Toward Au (III)

TL;DR: SG-TETA2 had higher overall adsorption capacities compared to silica-gel-based hyperbranched polymers functionalized by diethylenetriamine and is a practical adsorbent in removing Au(III) ion from e-wastes and industrial effluents with much prospect.
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Comparison studies of adsorption properties for copper ions in fuel ethanol and aqueous solution using silica-gel functionalized with 3-amino-1,2-propanediol

TL;DR: In this paper, 3-amino-1,2-propanediol (SG-AP) was used as an adsorbent for the removal of copper ions from both aqueous and ethanol solutions, and the experimental data were fitted to pseudo-first-order and pseudo-second-order kinetic models.