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DOI: https://doi.org/10.4491/eer.2019.136
Novel adsorption model of filtration process in polycarbonate track-etched membrane: Comparative study
Asma Adda1,2, Salah Hanini1, Mohamed Abbas2, and Meriem Sediri1
1Laboratory of Biomaterials and Transport Phenomena (LBMPT), Faculty of Science and Technology, university of Dr Yahia fares Medea, Algeria
2Unit of Solar Equipments Development-UDES/EPST CDER, Head of research department: Cooling Systems and Water Treatment using Renewable Energies-FTEER, Tipaza, Algeria
Corresponding Author: Asma Adda ,Tel: +21-355-621-3396, Email: a.docsolaire2017@gmail.com
Received: April 4, 2019;  Accepted: July 6, 2019.
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ABSTRACT
Current assumptions are used in the formulation of pseudo-first (PFO) and second-order (PSO) models to describe the kinetic data of filtration based on ideal operating conditions. This paper presents a new model developed with pseudo n^th order and based on real assumption. A comparison was performed between PFO, PSO and the new model to highlight their performance and the optimisation of the pseudo-order equation, using MATLAB software. Adsorption characteristic of bovine serum albumin adsorption on the track-etched membrane are used as a medium based on protein filtration data were extracted from the literature for different concentrations to demonstrate the comparison between PFO/PSO and the new model. The pseudo first and second-order kinetic models were applied to test the experimental data and they did not provide reasonable values. The results show that the predicted values are consistent with experimental values giving a good correlation coefficient R^2 = 0.997 and a minimum root mean squared error RMSE = 0.0171. Indeed, the experimental results follow the new model and the optimal pseudo equation order n = 1.115, the most suitable curves for the new model. As a result, we used different experimental adsorption data from the literature to examine and check the applicability and validity of the model.
Keywords: Adsorption | Bovine serum albumin | Membrane filtration | Modelling
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