Acetaminophen removal using porous activated carbon derived from corn cob: optimization and mass transfer modelling

Author:

Ramli Mohamad Razif Mohd1,Shoparwe Noor Fazliani2,Ahmad Mohd Azmier1ORCID,Yusop Mohamad Firdaus Mohamad1

Affiliation:

1. School of Chemical Engineering, Engineering Campus Universiti Sains Malaysia Nibong Tebal Malaysia

2. Gold, Rare Earth and Material Technopreneurship Centre (GREAT), Faculty of Bioengineering and Technology Universiti Malaysia Kelantan, Jeli Campus Jeli Malaysia

Abstract

AbstractBACKGROUNDAcetaminophen, also known as paracetamol, has been notably detected in aquatic environments, including wastewater, surface water and drinking water, causing significant concern within the scientific and environmental research communities. This study focuses on two main objectives: (i) optimizing corn cob‐based activated carbon (CCAC) through response surface methodology for the adsorption of acetaminophen and (ii) simulating the acetaminophen adsorption process using the polymath mass transfer (PMT) model.RESULTSThe optimized CCAC was prepared via physiochemical activation under microwave radiation (265 W power) for 6 min, with a KOH impregnation ratio of 0.50 g g−1. This process resulted in a high Brunauer–Emmett–Teller surface area of 976.29 m2 g−1, accompanied by a corresponding pore volume of 0.39 cm3 g−1 and a pore diameter of 2.38 nm. The adsorption study, employing differential initial concentrations (ranging from 5 to 30 mg L−1) of acetaminophen, revealed a substantial adsorption capacity of 22.43 mg g−1 (74.77%) at 30 °C and 20.74 mg g−1 (69.13%) at pH 6. The PMT model indicated an adsorption capacity (Qm) of 21.14 mg g−1, with an error of 5.75%, demonstrating high precision compared to the experimental result. Additionally, the calculated R2 values equal to or above 0.90 indicated strong agreement between the PMT model and experimental data.CONCLUSIONThus, applying the PMT model proved to be economical and cost‐effective, providing accurate predictions on surface area during adsorption performance compared to the time‐consuming and costly process of conducting characterizations. © 2024 Society of Chemical Industry (SCI).

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3