Politakos Nikolaos, Barbarin Iranzu, Cordero-Lanzac Tomás, Gonzalez Alba, Zangi Ronen, Tomovska Radmila
POLYMAT and Departamento de Química Aplicada, Facultad de Ciencias Químicas, University of the Basque Country UPV/EHU, Joxe Mari Korta Center-Avda. Tolosa, 72, 20018 San Sebastian, Spain.
Department of Chemical Engineering, University of the Basque Country (UPV/EHU), PO Box 644, 48080 Bilbao, Spain.
Polymers (Basel). 2020 Apr 17;12(4):936. doi: 10.3390/polym12040936.
Polymer composite materials with hierarchical porous structure have been advancing in many different application fields due to excellent physico-chemical properties. However, their synthesis continues to be a highly energy-demanding and environmentally unfriendly process. This work reports a unique water based synthesis of monolithic 3D reduced graphene oxide (rGO) composite structures reinforced with poly(methyl methacrylate) polymer nanoparticles functionalized with epoxy functional groups. The method is based on reduction-induced self-assembly process performed at mild conditions. The textural properties and the surface chemistry of the monoliths were varied by changing the reaction conditions and quantity of added polymer to the structure. Moreover, the incorporation of the polymer into the structures improves the solvent resistance of the composites due to the formation of crosslinks between the polymer and the rGO. The monolithic composites were evaluated for selective capture of CO. A balance between the specific surface area and the level of functionalization was found to be critical for obtaining high CO capacity and CO/N selectivity. The polymer quantity affects the textural properties, thus lowering its amount the specific surface area and the amount of functional groups are higher. This affects positively the capacity for CO capture, thus, the maximum achieved was in the range 3.56-3.85 mmol/g at 1 atm and 25 °C.
具有分级多孔结构的聚合物复合材料因其优异的物理化学性质而在许多不同的应用领域中不断发展。然而，它们的合成仍然是一个高能耗且对环境不友好的过程。这项工作报道了一种独特的水基合成方法，用于制备由用环氧官能团功能化的聚甲基丙烯酸甲酯聚合物纳米颗粒增强的整体式三维还原氧化石墨烯（rGO）复合结构。该方法基于在温和条件下进行的还原诱导自组装过程。通过改变反应条件和添加到结构中的聚合物数量，可以改变整体材料的结构性质和表面化学性质。此外，由于聚合物与rGO之间形成交联，将聚合物掺入结构中可提高复合材料的耐溶剂性。对整体式复合材料进行了CO选择性捕获评估。发现比表面积和功能化水平之间的平衡对于获得高CO容量和CO/N选择性至关重要。聚合物数量会影响结构性质，因此减少其用量会使比表面积和官能团数量增加。这对CO捕获能力有积极影响，因此在1个大气压和25°C下，最大捕获量在3.56 - 3.85 mmol/g范围内。
