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罗达胺B的吸附在棉花草衍生的生物炭上:动力学,平衡,热力学和使用人工智能的预测研究

Thalyta Parreira Mota Dos Santos¹, Beatriz Milani Dias¹, Heiriane Martins Sousa²

¹Faculty of Engineering, Federal University of Mato Grosso, Várzea Grande, Brazil.

International journal of phytoremediation

|July 8, 2025

概括

棉花生物炭 (CS@B) 有效地从水中去除罗达胺B (RhB) 染料,显示出高吸附能力和可回收性. 人工智能模型准确地预测了这种吸附过程,突出了CS@B.

科学领域:

环境化学环境化学
材料科学材料科学材料科学
吸附科学吸附科学

背景情况:

罗达胺B (RhB) 是废水中常见的污染物.
开发高效和可持续的吸附剂对于水处理至关重要.
从农业废物中提取的生物炭提供了一个有希望的环保解决方案.

研究的目的:

通过使用棉草衍生生物炭 (CS@B) 研究RhB的吸附.
为了阐明吸附机制和动力学.
开发和验证用于预测吸附性能的人工智能 (AI) 模型.

主要方法:

使用SEM,FTIR和pH_PZC进行CS@B的表征.
批量吸附实验以确定最佳条件和动力学.
吸附异热和热力学研究.
人工神经网络 (ANN) 和支持向量回归 (SVR) 模型的开发和评估.

主要成果:

CS@B通过结,静电和π-π相互作用表现出多孔结构和有效的RhB吸附.
在pH值为2.0的情况下,最大RhB去除率为99.7%.
吸附遵循伪二次动力学和弗洛伊德利希异热模型,最大容量为117.84毫克g-1 .
ANN和SVR模型准确预测了吸附能力 (R²高达0.994).
在多个循环中,CS@B表现出良好的可重复使用性.

结论:

CS@B是一种高效,可回收的吸附剂,用于RhB去除.
人工智能建模为优化和预测吸附过程提供了强大的工具.
这项研究表明了CS@B在实际水处理应用中的潜力.

关键词:

吸附机制的吸附机制是什么人工神经网络的人工神经网络异热体的动力性异热体支持矢量机器的支持矢量机器.

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