生物宏分子工程用于用于机器学习辅助脱硫和超级电容应用的氧化还原活性奇托-多聚烯-粘土混合材料
Fouzia Mashkoor1, Mohd Shoeb1, Sayed Mohammed Adnan1
1School of Mechanical Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Republic of Korea.
International journal of biological macromolecules
|July 27, 2025
概括
一种新型的本托尼特基托桑聚烯复合物有效地从燃料中去除二索,并作为超级电容电极起作用. 这种双重用途的材料对环境清洁和储能解决方案具有前景.
科学领域:
- 材料科学 材料科学 材料科学
- 环境工程 环境工程
- 电化学 电化学 电化学
背景情况:
- 开发可持续材料用于环境修复和能源储存至关重要.
- 传统的燃料脱硫和储能方法往往面临效率和环境影响的局限性.
研究的目的:
- 为了设计一个多功能托尼特基托桑聚烯 (Bent-CS-PPy) 复合物.
- 评估其在从模型燃料中吸附二二二烯 (DBT) 脱硫的有效性.
- 为了评估其作为电极材料的性能,用于电化学能量储存.
主要方法:
- 合成了Bent-CS-PPy复合物,结合了本托尼特,奇托桑和聚烯.
- 吸附研究以确定DBT去除效率,动力学 (伪二次) 和等温度 (Langmuir).
- 作为对称超级电容电极的应用,评估能量密度,功率密度和循环稳定性.
- 使用机器学习 (ANN,NLR,SVR) 来预测DBT删除性能.
主要成果:
- 在优化条件下,Bent-CS-PPy复合物实现了81.26%的DBT去除效率.
- 吸附后是伪二次动力学和兰迈尔异温,容量为33.71 mg/g.
- 作为超级电容电极,它提供了44.67Wh/kg的能量密度和500W/kg的功率密度,在13000个循环后保持了73.44%的电容.
- 人工神经网络 (ANN) 模型在预测DBT移除方面显示了最高的准确性.
结论:
- -CS-PPy复合材料显示出作为双重功能材料的巨大潜力.
- 它为吸附性脱硫和先进的能量存储提供了有效的解决方案.
- 本材料介绍了综合环境修复和能源应用的可持续方法.
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