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3D打印功能化纳米纤维素在间歇式和固定床系统中作为吸附剂的应用

3D Printed Functionalized Nanocellulose as an Adsorbent in Batch and Fixed-Bed Systems.

作者信息

Sajab Mohd Shaiful, Wan Jusoh Wan Nazihah Liyana, Mohan Denesh, Kaco Hatika, Baini Rubiyah

机构信息

Research Center for Sustainable Process Technology (CESPRO), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

Department of Chemical and Process Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

出版信息

Polymers (Basel). 2023 Feb 15;15(4):969. doi: 10.3390/polym15040969.

Abstract

Nanocellulose, a refined form of cellulose, can be further functionalized on surface-active sites, with a catalyst as a regenerative agent. Newly developed adsorbents are expected to have the characteristics of good and rapid adsorption performance and regeneration properties with flexible structure using 3D printing technology. In this work, the adsorption performance of 3D printed functionalized nanocellulose was investigated using batch and fixed-bed column adsorption. Kinetics adsorption studies were divided into different adsorption models, with the pseudo-second order model showing a better correlation coefficient than the pseudo-first order and intraparticle diffusion models. The Langmuir and Thomas models were used to calculate the adsorption performance of batch and fixed-bed columns. Given the catalytic activity of Fenton oxidation, the fixed-bed column was regenerated up to five adsorption-desorption cycles, suggesting satisfactory performance of the column, with a slightly reduced adsorption capacity.

摘要

纳米纤维素是纤维素的精制形式,可在表面活性位点上进一步功能化,并以催化剂作为再生剂。预计新开发的吸附剂具有良好且快速的吸附性能以及再生特性,采用3D打印技术可使其结构灵活。在这项工作中,使用分批和固定床柱吸附法研究了3D打印功能化纳米纤维素的吸附性能。动力学吸附研究分为不同的吸附模型,其中准二级模型显示出比准一级模型和颗粒内扩散模型更好的相关系数。使用朗缪尔模型和托马斯模型来计算分批和固定床柱的吸附性能。鉴于芬顿氧化的催化活性,固定床柱可进行多达五个吸附-解吸循环的再生,表明该柱性能令人满意,只是吸附容量略有降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9437/9958933/d9dcc36f395a/polymers-15-00969-g001.jpg

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