Tavassoli Soheil, Mollahosseini Afsaneh, Damiri Saeed, Samadi Mehrshad
Research Laboratory of Spectroscopy & Micro and Nano Extraction, Department of Chemistry, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran.
Department of Civil and Environmental Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, Iran.
Heliyon. 2024 Nov 29;11(1):e40783. doi: 10.1016/j.heliyon.2024.e40783. eCollection 2025 Jan 15.
Luffa is a robust, renewable biomaterial known for its low mass, high specific strength, and non-toxicity, making it ideal for composite development. This study modified luffa to create the LF@ppy@LDH nanocomposite, combining luffa, polypyrrole, and layered double hydroxides to efficiently remove ibuprofen from water. Techniques like FE-SEM, EDX, FTIR, and XRD confirmed the modification. To optimize adsorption efficiency, factors such as contact time , adsorbent dosage , drug concentration , temperature ( , stirring rate , and pH were carefully fine-tuned to maximize efficiency. The highest ibuprofen removal occurred at pH 5, with an adsorption capacity of 44.306 mg/g at 298 K. The Temkin isotherm model, which points to chemisorption as the mechanism, accurately depicted the adsorption process with a high correlation coefficient (R = 0.984). Moreover, the Elovich kinetic model proved to be the most precise in describing how ibuprofen adheres to the modified luffa, showing a very tight fit with the data (R = 0.993). LF@ppy@LDH demonstrated outstanding reusability, maintaining steady adsorption over five repeated rounds. In addition, a powerful data-driven model, namely gene expression programming (GEP), was employed to provide an explicit formula relating input variables to removal efficiency, highlighting the potential of LF@ppy@LDH for water purification and environmental remediation.
丝瓜是一种坚固的可再生生物材料,以其质量轻、比强度高和无毒而闻名,使其成为复合材料开发的理想选择。本研究对丝瓜进行改性,以制备LF@ppy@LDH纳米复合材料,该材料将丝瓜、聚吡咯和层状双氢氧化物结合起来,以有效去除水中的布洛芬。FE-SEM、EDX、FTIR和XRD等技术证实了改性效果。为了优化吸附效率,对接触时间、吸附剂用量、药物浓度、温度、搅拌速率和pH值等因素进行了仔细微调,以实现效率最大化。在pH值为5时,布洛芬的去除率最高,在298K时吸附容量为44.306mg/g。Temkin等温线模型表明吸附机制为化学吸附,其相关系数较高(R=0.984),准确地描述了吸附过程。此外,Elovich动力学模型在描述布洛芬如何附着在改性丝瓜上方面最为精确,与数据拟合度非常高(R=0.993)。LF@ppy@LDH表现出出色的可重复使用性,在五次重复循环中保持稳定的吸附性能。此外,还采用了一种强大的数据驱动模型,即基因表达式编程(GEP),以提供一个明确的公式,将输入变量与去除效率联系起来,突出了LF@ppy@LDH在水净化和环境修复方面的潜力。