一种简便有效的大片状氧化石墨烯粒度分选方法

RAN Pub Date : 2016-04-01 DOI:10.11159/ICNNFC16.132
Ece Özçakır, V. Eskizeybek
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引用次数: 6

摘要

构建块的大小从根本上决定了宏观尺度石墨烯结构的物理性能,因为更大的构建块通常具有更好的机械和电气性能。密度梯度离心法是一种多用途、可扩展的二维纳米胶体材料分选方法。本文提供了一种简单有效的氧化石墨烯(GO)薄片尺寸分选方法,其尺寸可达40 μm。氧化石墨烯薄片分散在蒸馏水中。根据氧化石墨烯薄片的特定粒径范围,计算了离心工艺参数。扫描电子显微镜用来证明分离过程的有效性。图像处理分析表明,通过控制转速和离心时间,可以分离出特定粒径范围的氧化石墨烯薄片。该工艺是用普通台式离心机进行的,具有低强度的离心场,对可扩展的工艺要求低。
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A Facile and Effective Method for Size Sorting of Large Flake Graphene Oxide
The size of the building blocks fundamentally governs physical performances of the macro-scale graphene based structures since larger building blocks usually yields better mechanical and electrical properties. Density gradient centrifugation method has emerged as a versatile and scalable method for sorting colloidal 2D nanomaterials. This paper provides a facile and effective size sorting approach to graphene oxide (GO) flakes with large sizes up to 40 μm. The GO flakes were dispersed within distilled water. The centrifugation process parameters were calculated with respect to specific size ranges of GO flakes. Scanning electron microscopy utilized to prove the effectiveness of the separation process. Image processing analysis showed GO flakes with specific size ranges can be separate from aqueous suspension by controlling rotational speed and centrifugation time. The process was performed by using common benchtop centrifuges with low intensity centrifugal fields which requires low investment for a scalable process.
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