在废水整治中对基纤维素衍生生物炭基催化剂的审查:先进的处理技术和机器学习工具
V Godvin Sharmila1, Vinay Kumar Tyagi2, Sunita Varjani3
1Department of Civil Engineering, Mar Ephraem College of Engineering and Technology, Marthandam 629171, Tamil Nadu, India.
Bioresource technology
|August 7, 2023
概括
可持续的废水处理利用来自基纤维素生物质 (LCB) 的生物炭. 本综述探讨了用于污染物清除的先进生物炭技术,并讨论了污染物降解中的机器学习应用.
科学领域:
- 环境科学与工程环境科学与工程
- 材料科学 材料科学 材料科学
- 催化剂是一种催化剂.
背景情况:
- 废水污染对水生生态系统和人类健康构成重大风险.
- 可持续的污染物清除对于环境保护至关重要.
- 生物炭是从纤维纤维素生物质 (LCB) 中提取的,由于其独特的特性,它提供了一个有希望的,具有成本效益的解决方案.
研究的目的:
- 审查来自LCB的生物炭的合成和激活方法.
- 详细阐述先进的基于生物炭的废水处理技术.
- 探索氧化物种形成的机制以及机器学习在污染物清除中的作用.
主要方法:
- 关于纤维素生物质 (LCB) 衍生生物炭合成和激活的文献综述.
- 对基于生物炭的先进废水处理技术的分析.
- 检查氧化物种生成的机制.
- 研究机器学习在污染物清除中的应用.
主要成果:
- 生物炭表现出高表面积,多孔结构和功能组,使其在催化中有效.
- 结合生物炭的先进技术显示出对高效废水处理的前景.
- 机器学习有助于优化污染物清除过程.
结论:
- 来自LCB的生物炭是一种可持续和多功能材料,用于先进的废水处理.
- 需要进一步的研究来克服生物炭基催化剂实时应用的障碍.
- 建议探索新的生物炭应用和优化策略.
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