使用 Bacillus subtilis 来增强 Pb2+ 从水溶液中的生物吸收的创新优化.
Reyad M El-Sharkawy1, Mohamed Khairy2,3, Mohamed H H Abbas4
1Botany and Microbiology Department, Faculty of Science, Benha University, Benha, Egypt.
Frontiers in microbiology
|August 23, 2024
概括
这项研究使用Bacillus subtilis生物质优化了 (Pb2+) 生物吸收. 智能方法实现了96.12%的清除率,证明了有效地从污染水中清除重金属.
科学领域:
- 环境微生物学 环境微生物学
- 生物修复是一种生物修复.
- 化学工程是化学工程的重要组成部分.
背景情况:
- 重金属污染,特别是 (Pb2+),对环境和健康构成重大风险.
- 微生物修复为重金属污染提供了一种高效,环保和成本效益的解决方案.
- 细菌细菌被探索为从水系统中去除的生物吸收剂.
研究的目的:
- 使用 Bacillus subtilis 生物质优化 (Pb2+) 生物吸收.
- 通过智能优化范式,最大限度地提高生物吸收过程的效率.
- 调查B. subtilis. Pb2+生物吸收的机制和容量.
主要方法:
- 利用最终选设计 (DSD) 和人工神经网络 (ANN) 进行流程优化.
- 研究了物理化学变量 (pH,温度,营养) 对Pb2+生物吸收的影响.
- 使用异热和动力模型分析了生物吸收机制.
主要成果:
- 在最佳条件下 (pH6.1,30°C,1.5%葡萄糖,1.7%酵母提取物,0.2%MgSO4.7H2O) 达到96.12%的Pb2+去除率.
- 确定最大生物吸收能力为61.8mg/g与B. subtilis生物质.
- 兰迈尔等温和和伪二次动力学模型准确地描述了生物吸收过程,表明单层吸附和化学吸收.
结论:
- 智能优化范式 (DSD 和 ANN) 有效地增强了 B. subtilis. 的 Pb2+ 生物吸收.
- B. subtilis生物量显示出低成本,高效的污染水中的去除的巨大潜力.
- 这项研究验证了生物吸收剂和人工智能在重金属环境修复中的应用.
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