固定床研究和人工神经网络建模用于使用绿色MWCNT@E吸附剂去除诺基诺抗生素
Mariana Gomes Oliveira1, Heloisa Pereira Sá Costa1, Emanuele Dutra Valente Duarte1
1School of Chemical Engineering, Universidade Estadual de Campinas, Albert Einstein Av, São Paulo, 500, Brazil.
概括
绿色功能化碳纳米管 (CNTs) 在连续系统中有效地从水中去除基诺抗生素,如西普洛素 (CIP) 和奥洛素 (OFL). 这种环保的方法显著降低了废水中的抗生素毒性.
科学领域:
- 环境化学环境化学
- 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:
- 诺基诺抗生素,包括西普洛素 (CIP) 和奥洛素 (OFL),是普遍存在的环境污染物.
- 它们在水源中的存在带来了环境毒性和抗生素耐药性的潜在发展风险.
研究的目的:
- 评估绿色功能化碳纳米管 (CNTs) 在从水中去除CIP和OFL的有效性.
- 为了比较传统的质量转移模型和人工神经网络 (ANN) 在预测吸附过程中的性能.
主要方法:
- 采用了使用绿色功能化的CNT的连续吸附系统.
- 在不同的度和流量下评估了吸附性能.
- 数学模型 (包括Yan等人). 和ANN用于分析和预测固定床吸附数据.
主要成果:
- 该系统在低度 (0.2 mmol/L) 和流速 (0.2 mL/min) 的情况下表现出高效率.
- 对OFL (1256.39分钟) 和CIP (1314.60分钟) 观察到延长的突破时间.
- 族和其他人. 该模型准确地描述了系统 (R2>0.99),ANN提供了精确的预测.
结论:
- 绿色功能化的CNT在持续去除诺基诺抗生素方面表现出色.
- 这项研究为废水处理提供了一个有希望的,可扩展的解决方案.
- 经过处理的废水显著降低了植物毒性.
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