Scholarlink

<p>Ciprofloxacin (CIP) and ofloxacin (OFL), commonly used fluoroquinolone antibiotics, have been frequently detected in water sources which can cause environmental toxicity. This study explored the application of carbon nanotubes (CNTs) functionalized using a green method in a continuous adsorption system for the removal of CIP and OFL by comparing traditional mass-transfer models and artificial neural networks (ANN). Results demonstrated that the system was more effective at low concentrations (0.2&#xa0;mmol/L) and flow rates (0.2&#xa0;mL/min), for both antibiotics, with extended breakthrough times, indicating that OFL (1256.39&#xa0;min) and CIP (1314.60&#xa0;min) were completely removed for a longer period, and the lowest mass transfer zone for OFL (2.75&#xa0;cm) and CIP (3.44&#xa0;cm). The mathematical models showed good fits to the acquired data, although the model developed by Yan et al. described the systems accurately (<i>R</i><sup>2</sup> &gt; 0.99) under all tested conditions. ANN modeling showed accurate prediction of the fixed-bed dataset. The phytotoxicity study indicated a significant reduction in the toxicity of the effluent after treatment. Therefore, the green-functionalized CNTs exhibited prominent performance in a continuous system, offering a promising approach for scaling up wastewater treatment processes.</p> Graphical abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Fixed-bed studies and artificial neural network modeling for removal of fluoroquinolone antibiotics using a green MWCNT@E adsorbent

  • 期刊论文

  • 发表日期：

    2025年6月13日

查看全文
  • Mariana Gomes Oliveira,
  • Heloisa Pereira Sá Costa,
  • Emanuele Dutra Valente Duarte,
  • Lara Caetano,
  • Meuris Gurgel Carlos da Silva,
  • Melissa Gurgel Adeodato Vieira

摘要

Ciprofloxacin (CIP) and ofloxacin (OFL), commonly used fluoroquinolone antibiotics, have been frequently detected in water sources which can cause environmental toxicity. This study explored the application of carbon nanotubes (CNTs) functionalized using a green method in a continuous adsorption system for the removal of CIP and OFL by comparing traditional mass-transfer models and artificial neural networks (ANN). Results demonstrated that the system was more effective at low concentrations (0.2 mmol/L) and flow rates (0.2 mL/min), for both antibiotics, with extended breakthrough times, indicating that OFL (1256.39 min) and CIP (1314.60 min) were completely removed for a longer period, and the lowest mass transfer zone for OFL (2.75 cm) and CIP (3.44 cm). The mathematical models showed good fits to the acquired data, although the model developed by Yan et al. described the systems accurately (R2 > 0.99) under all tested conditions. ANN modeling showed accurate prediction of the fixed-bed dataset. The phytotoxicity study indicated a significant reduction in the toxicity of the effluent after treatment. Therefore, the green-functionalized CNTs exhibited prominent performance in a continuous system, offering a promising approach for scaling up wastewater treatment processes.

Graphical abstract