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Ru-Ling Tseng

Researcher at National United University

Publications -  33
Citations -  5145

Ru-Ling Tseng is an academic researcher from National United University. The author has contributed to research in topics: Adsorption & Activated carbon. The author has an hindex of 24, co-authored 32 publications receiving 4247 citations. Previous affiliations of Ru-Ling Tseng include National Taiwan University.

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Initial behavior of intraparticle diffusion model used in the description of adsorption kinetics

TL;DR: In this article, the intraparticle diffusion model (IPD) was applied for the analysis of adsorption kinetics, and the characteristic curves based on this model were plotted with various initial adsorization factors (Ri).
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Characteristics of Elovich equation used for the analysis of adsorption kinetics in dye-chitosan systems.

TL;DR: In this paper, the approach equilibrium parameter of Elovich equation (R E ) was used to describe the characteristic curves of adsorption kinetics and the mean deviation obtained from the three kinetic models revealed that Elovich equations was the most suitable one.
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Characteristics of pseudo-second-order kinetic model for liquid-phase adsorption: a mini-review.

TL;DR: In this paper, an approaching equilibrium factor (Rw) was defined and deduced from the pseudo-second-order (PSO) model in liquid-phase adsorption systems.
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Comparisons of porous and adsorption properties of carbons activated by steam and KOH

TL;DR: In this work, fir woods and pistachio shells were used as source materials to prepare porous carbons, which were activated by physical (steam) and chemical (KOH) methods and the Freundlich equation gave a better fit to all adsorption isotherms than the Langmuir equation.
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A review and experimental verification of using chitosan and its derivatives as adsorbents for selected heavy metals.

TL;DR: In this article, a literature survey on liquid phase adsorption of selected heavy metals including Cu(II), Zn, Ni, Ni(II) and Cr(VI) on chitosan (CTS) and its derivatives was made from the viewpoint of adaption capacity, which was obtained from the Langmuir fit of isotherm data.