吸附
吸热过程
单层
活性炭
水溶液
朗缪尔
四环素
化学
弗伦德利希方程
朗缪尔吸附模型
碳纤维
化学工程
氢键
粉末活性炭处理
打赌理论
动力学
比表面积
水处理
解吸
环境修复
有机化学
疏水效应
氢
无机化学
作者
Hira Singh,Gokulakrishnan Murugesan,Thivaharan Varadavenkatesan,Raja Selvaraj,Ramesh Vinayagam
标识
DOI:10.1016/j.diamond.2025.112835
摘要
This study systematically examines the synthesis, structural properties, and adsorption performance of activated carbon prepared using Kachnar pods (KP–AC) to remove tetracycline (TC) from aqueous media. KP–AC was synthesized via H 3 PO 4 activation, yielding a highly porous, heterogeneous, and functionalized adsorbent with a high BET surface area (1528.14 m 2 /g) and mesoporosity. Various characterization analyses revealed a rough, flake-like structure with oxygenated and phosphorus-containing functional groups that facilitate strong interactions with TC through electrostatic interactions, π–π stacking, and hydrogen bond formation. Batch adsorption experiments demonstrated pH-dependent uptake, with maximum removal at pH 4, driven by minimized electrostatic repulsion and enhanced non-covalent interactions. Adsorption kinetics followed a pseudo-second-order model, while equilibrium data fitted best to the Freundlich isotherm. The high monolayer capacity from the Langmuir model (201.3 mg/g) underscored KP–AC's strong adsorption potential. Thermodynamic parameters revealed the spontaneity and endothermic nature of adsorption. KP–AC also exhibited good regeneration performance, retaining 52.9 % of its initial removal efficiency after four adsorption–desorption cycles, and maintained robust performance across diverse real water matrices despite moderate reductions. These findings establish KP–AC as an efficient, sustainable, and regenerable adsorbent for TC remediation from water. • Kachnar Pods were used to prepare activated carbon using H 3 PO 4 activation. • Exceptional surface area (1528 m 2 /g) offers abundant sites and mesoporosity. • TC uptake (201.3 mg/g) confirmed by Langmuir adsorption model. • Multifaceted interaction via π–π stacking, H-bonding, and surface polarity • Robust reusability and real-matrix performance confirm KP–AC's practical utility.
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