Green synthesis of a multifunctional β-cyclodextrin modified polymer sorbent using agrarian wastes of Nelumbo nucifera for the efficient sequestration of toxic dyes from polluted water

IF 7.4 2区 工程技术 Q1 ENGINEERING, CHEMICAL Journal of Environmental Chemical Engineering Pub Date : 2024-09-18 DOI:10.1016/j.jece.2024.114147
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Abstract

This study explores an eco-friendly strategy for the effective removal of toxic dyes Malachite Green, Methylene Blue, and Basic Magenta Dye, from water bodies, utilizing a novel β-Cyclodextrin modified Nelumbo nucifera (β-CDNN) sorbent. The sorbent was characterized using different analytical techniques, to assess its dye sorption capability. The analysis of sorption isotherm data revealed that the Freundlich model most accurately represented the equilibrium data. Kinetic studies indicated that the sorption process followed a pseudo-second-order model. At pH 5–8, the sorbent achieved maximum removal efficiencies of 96.7 %, 94.2 %, and 96.3 % for Malachite Green (402.7 mg/g), Methylene Blue (385.6 mg/g), and Basic Magenta Dye (401.03 mg/g), respectively, at equilibrium time 60 mins for MAG & MEB and 80 mins for MAD. The maximum swelling capacity of β-CDNN was recorded at 180.4 % and selectivity assay was performed via a MAG-AO7 dye mixture. The sorbent reusability was recorded for six consecutive cycles without much loss in efficiency. Additionally, β-CDNN exhibited a removal efficiency of 91.3 % in real dye samples. The findings highlight the rapid dye adsorption capabilities of β-CDNN, establishing it as a versatile, cost-effective, and environmentally friendly solution for water remediation, while also underscoring the beneficial use of bio-waste materials.
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利用 Nelumbo nucifera 农业废弃物绿色合成多功能 β-环糊精改性聚合物吸附剂,以高效吸附污染水体中的有毒染料
本研究利用新型 β-Cyclodextrin modified Nelumbo nucifera (β-CDNN)吸附剂,探索了一种有效去除水体中孔雀石绿、亚甲基蓝和碱性品红染料的环保策略。该吸附剂采用不同的分析技术进行表征,以评估其染料吸附能力。对吸附等温线数据的分析表明,Freundlich 模型最准确地代表了平衡数据。动力学研究表明,吸附过程遵循伪二阶模型。在 pH 值为 5-8 时,吸附剂对孔雀石绿(402.7 毫克/克)、亚甲蓝(385.6 毫克/克)和碱性品红染料(401.03 毫克/克)的最大去除率分别为 96.7%、94.2% 和 96.3%,对 MAG & MEB 的最大去除率为 60 分钟,对 MAD 的最大去除率为 80 分钟。β-CDNN 的最大溶胀能力为 180.4%,并通过 MAG-AO7 染料混合物进行了选择性检测。根据记录,吸附剂可连续重复使用六个周期,而效率不会有太大损失。此外,β-CDNN 在实际染料样品中的去除率为 91.3%。研究结果凸显了 β-CDNN 对染料的快速吸附能力,使其成为一种多功能、经济高效且环保的水处理解决方案,同时也强调了生物废料的有益利用。
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来源期刊
Journal of Environmental Chemical Engineering
Journal of Environmental Chemical Engineering Environmental Science-Pollution
CiteScore
11.40
自引率
6.50%
发文量
2017
审稿时长
27 days
期刊介绍: The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.
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