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Growth of rGO nanostructures via facile wick and oil flame synthesis for environmental remediation
Carbon Letters ( IF 4.5 ) Pub Date : 2021-04-09 , DOI: 10.1007/s42823-021-00244-3
G. S. Lekshmi , R. Tamilselvi , Karthika Prasad , Olha Bazaka , Igor Levchenko , Kateryna Bazaka , Mandhakini Mohandas

Oil spills into ocean or coastal waters can result in significant damage to the environment via pollution of aquatic ecosystems. Absorbents based on reduced graphene oxide (rGO) foams have the capacity to remove minor or major oil spills. However, conventional chemical synthesis of rGO often uses petrochemical precursors, potentially harmful chemicals, and requires special processing conditions that are expensive to maintain. In this work, an alternative cost-effective and environmentally friendly approach suitable for large-scale production of high-quality rGO directly from used cooking sunflower oil is discussed. Thus, produced flaky graphene structures are effective in absorbing used commercial sunflower oil and engine oil, via monolayer physisorption in the case of used sunflower and engine oils facilitated by van der Waals forces, π–π stacking and hydrophobic interactions, π-cation (H+) stacking and radical scavenging activities. From adsorption kinetic models, first-order kinetics provides a better fit for used sunflower oil adsorption (R2 = 0.9919) and second-order kinetics provides a better fit for engine oil adsorption (R2 = 0.9823). From intra-particle diffusion model, R2 for USO is 0.9788 and EO is 0.9851, which indicates that both used sunflower and engine oils adsorption processes follow an intra-particle diffusion mechanism. This study confirms that waste-derived rGO could be used for environmental remediation.



中文翻译:

通过便捷的灯芯和油焰合成来生长rGO纳米结构,以进行环境修复

漏入海洋或沿海水域的油可能会因水生生态系统的污染而严重破坏环境。基于减少的氧化石墨烯(rGO)泡沫的吸收剂具有清除少量或大量漏油的能力。但是,rGO的常规化学合成方法经常使用石油化学前体,可能有害的化学物质,并且需要维护昂贵的特殊加工条件。在这项工作中,讨论了一种适用于直接从用过的烹饪葵花籽油直接大规模生产高质量rGO的替代成本有效且环保的方法。因此,在范德华力促进的废向日葵油和发动机油的情况下,通过单层物理吸附,制得的片状石墨烯结构可有效地吸收用过的商品向日葵油和发动机油,+)堆放和彻底清除活动。从吸附动力学模型来看,一级动力学可以更好地拟合用过的葵花籽油(R 2  = 0.9919),而二级动力学可以更好地拟合机油(R 2  = 0.9823)。根据颗粒内扩散模型,USO的R 2为0.9788,EO为0.9851,这表明用过的向日葵油和发动机油的吸附过程均遵循颗粒内扩散机制。这项研究证实,废物衍生的rGO可以用于环境修复。

更新日期:2021-04-09
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