Synthesis, characterization and adsorption properties of Fe3O4 /MWCNT magnetic nanocomposites
Synthesis, characterization and adsorption properties of Fe3O4 /MWCNT magnetic nanocomposites
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DOI：
10.1016/j.matpr.2017.06.169
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
A. Suwattanamala;N. Bandis;K. Tedsree;C. Issro
中科院分区：
文献类型：
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作者：
A. Suwattanamala;N. Bandis;K. Tedsree;C. Issro
本文提出了一种简单有效的化学方法制备Fe 3 O 4磁性纳米粒子修饰多壁碳纳米管（Fe 3 O 4/MWCNT纳米复合材料）。采用化学共沉淀法制备了Fe 3 O 4纳米粒子。颗粒的平均粒径为约12 nm。将所得的Fe 3 O 4纳米粒子的胶体溶液与酸官能化的MWCNT在水中的胶体分散体混合，导致Fe 3 O 4纳米粒子均匀地沉积在碳纳米管上。在碱性溶液中，Fe 3 O 4纳米粒子稳定吸附在表面的羧基（MWCNT-COO-）上。通过XRD、TEM和FT-IR技术证实了Fe 3 O 4纳米粒子的存在及其与MWCNT的表面结合。测定了Fe 3 O 4负载量对X射线衍射图谱的影响，以研究其化学和相组成。合成磁体的磁性评价显示出强的磁分离性能。研究了Fe 3 O 4/MWCNT复合材料对亚甲基蓝的吸附性能。考察了吸附时间、亚甲基蓝初始浓度对吸附的影响。动力学数据符合准二级动力学模型。
In this work, a simple and efficient chemical method to prepare Fe3O4magnetic nanoparticles decorated on multi-walled carbon nanotube (Fe3O4/MWCNT nanocomposites) was presented. Fe3O4nanoparticles were prepared by chemical co-precipitation of Fe2+and Fe3+in alkaline solution. The average particle size diameter of the particles was approximately 12 nm. A mixture between the obtained colloidal solution of Fe3O4nanoparticles and the colloidal dispersion of acid functionalized MWCNT in water resulted in uniformly Fe3O4nanoparticles deposited on carbon nanotube. In basic solution, Fe3O4nanoparticles were stably attracted to carboxylate groups (MWCNT-COO-) on the surface. The presence of Fe3O4nanoparticles and their surface conjugation to MWCNT have been confirmed by XRD, TEM and FT-IR techniques. The effect of Fe3O4loading on the X-ray diffraction patterns were determined to investigate their chemical and phase composition. Magnetic evaluation of the synthesized magnet revealed a strong magnetic separation property. The sorption properties of Fe3O4/MWCNT composites for the removal of methylene blue from aqueous solution were investigated. The effect of contact time and initial concentration of MB on the adsorption were fully studied. The result kinetic data were well followed by the pseudo-second-order model.