整合化学修饰路径和机器学习,以优化油菜 (Brassica napus L.) 生物炭的酸盐去除
Laleh Divband Hafshejani1, Mehri Saeidinia2
1Department of Environmental Engineering, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran. l.divband@scu.ac.ir.
Scientific reports
|December 12, 2025
概括
用改性生物炭有效地从水中去除酸盐. 热解后修饰 (PM) 产生了最好的结果,显示了高吸附能力和可重复使用性,人工智能模型预测了性能.
科学领域:
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 来自农业和工业的酸盐污染威胁到水资源和生态系统.
- 生物炭是一种有前途的吸附剂,但修改策略需要优化酸盐去除.
- 了解修改序列对生物炭特性的影响对于有效的水处理至关重要.
研究的目的:
- 调查改序对生物炭结构和酸盐吸附的影响.
- 在不同的操作条件下评估不同生物炭修饰途径的性能.
- 应用机器学习模型来预测酸盐去除效率和指导生物炭设计.
主要方法:
- 油菜衍生生物炭被通过氧化前 (MP),氧化后 (PM) 和氧化后再氧化 (PMP) 修改为.
- 使用BET,SEM,EDS,XRD和FTIR分析了生物炭特性.
- 进行了批量吸附实验,以评估酸盐去除效率,受度,pH值和竞争性离子等参数的影响.
- 吸附剂再生和机器学习 (随机森林,SVR,LR) 用于性能预测.
主要成果:
- 由于表面积,中孔结构和功能群的较高,PM生物炭表现出优越的酸盐吸附.
- 吸附效率对初始酸盐度,接触时间,吸附剂剂量,pH值和竞争性离子 (CO32−,SO42−) 都敏感.
- 在5个循环后,PM生物炭保持了约76%的容量,证明了可重复使用性.
- 随机森林模型实现了高预测精度 (R2=0.892) 的酸盐去除.
结论:
- 修饰的序列显著影响生物炭的结构和吸附性质,以去除酸盐.
- 热解后修饰 (PM) 是开发高性能酸盐吸附剂的高效策略.
- 人工智能驱动的建模为优化生物炭设计和预测水处理应用中的性能提供了强大的框架.
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