Fe3O4 磁性纳米粒子对硝酸盐去除效率的影响:利用响应面方法进行的优化研究

Özlem Demir, Betül Firat
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引用次数: 0

摘要

水资源的硝酸盐污染是一个严重的环境问题,可以通过将硝酸盐吸附到磁性纳米粒子上来解决。本研究考察了 Fe3O4 磁性纳米粒子对硝酸盐的去除效果。主要变量包括 pH 值、吸附剂用量和接触时间。这些变量的有效范围为:pH=4-10,吸附剂剂量=0.5-1.5 g/L,接触时间=30-90 min。优化研究采用方框-贝肯统计设计法进行。根据方差分析表,可以得出结论:模型 "显著",R2 值为 0.99。研究结果表明,硝酸盐的最大去除率约为 91.02%。这是在 pH 值为 7、Fe3O4 用量为 1.3 克/升、接触时间为 28 分钟时获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of Fe3O4 magnetic nanoparticles on nitrate removal efficiency: an optimization study using response surface methodology
The nitrate contamination of water resources is a serious environmental problem, which may be solved by nitrate sorption onto magnetic nanoparticles. In this study, the effects of Fe3O4 magnetic nanoparticles on nitrate removal were investigated. Fe3O4 was synthesized by a co-precipitation method and used as an adsorbent for nitrate removal. pH, adsorbent dosage, and contact time were considered as the main variables. The effective ranges of these variables were chosen as pH = 4–10, adsorbent dose = 0.5–1.5 g/L, and contact time = 30–90 min. The optimization study was conducted using the Box-Behnken statistical design method. According to the analysis of variance table, it can be concluded that the model is ‘significant’ and the value of R2 was 0.99. The results of the study show that the maximum nitrate removal efficiency was about 91.02%. This was obtained at pH 7, using a dose of 1.3 g/Lof Fe3O4, and a contact time of 28 min.
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