Dynamic kinetic studies of lysozyme removal as protein waste using weak ion exchange nanofiber membranes in flow systems: Linear and nonlinear model analysis

• Published in: Journal of the Taiwan Institute of Chemical Engineers 2025-02, Vol.167, p.105854, Article 105854
• Main Authors: Thanh, Dinh Thi Hong, Hanh, Nguyen The Duc, Liu, Bing-Lan, Srinophakun, Penjit, Chiu, Chen-Yaw, Tsai, Shen-Long, Chen, Kuei-Hsiang, Chang, Yu-Kaung
• Format: Article
• Language: English
• Subjects: Dynamic lysozyme removal; Ion exchange membranes; Kinetic model analysis; Nanofiber membrane chromatography
• ISSN: 1876-1070
• DOI: 10.1016/j.jtice.2024.105854

•Adsorption pH, lysozyme concentration, flow rate, and membrane layers significantly influenced dynamic adsorption kinetics.•Linear and nonlinear models provided different insights into adsorption mechanisms.•The Avrami nonlinear model is most suitable for describing lysozyme removal.•Optimizing adsorption parameters enhances lysozyme removal, improving protein waste treatment efficiency. This study explores lysozyme removal using a weak ion exchange nanofiber membrane in a continuous flow system. Understanding removal kinetics is critical for designing, optimizing, and scaling industrial processes. Kinetic models play a crucial role in predicting removal behaviors, including the pseudo-first-order, pseudo-second-order, Elovich, Avrami, and intra-particle diffusion models. Each model provides different insights based on its assumptions, making them suitable for analyzing various removal systems and mechanisms. The study investigated the effects of four parameters—removal pH, initial lysozyme concentration, loading flow rate, and the number of membranes stacking layers—on dynamic kinetic binding behavior. Both linear and non-linear kinetic models were employed to analyze experimental results, focusing on removal rates and mechanisms. Analysis revealed key insights into removal kinetics. The change in removal pH significantly affected the binding rate and capacity. Higher initial concentrations increased binding rates, while changes in loading flow rate influenced removal rate and capacity. Increasing the number of membrane stacking layers enhanced the removal capacity and increased the pressure drop. These findings underscore the importance of optimizing parameters for efficient removal in biotechnology and wastewater treatment. [Display omitted]