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Self-Cleaning Nanoscale Coating for the Separation of Oil–Water Mixture

机译:自清洁纳米级涂料,用于油水混合物的分离

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The current study pertains to the self-cleaning nanoscale coating of graphene/polymer nanohybrid system for the separation of oil–water mixture. Using a single nanohybrid system, we have developed a two-stage process for the selective removal of the hydrocarbons. Total petroleum hydrocarbons (TPHs) and separation efficiency are determined by gas chromatography-flame ionization detector (GC-FID). Analysis of the polycyclic aromatic hydrocarbons (PAHs) in the two stage samples is carried out by using gas chromatography coupled to mass spectrometry (GC-MS). The analysis shows the reduction in TPHs from 290 ppm to less than 1 ppm and more than 99.5% separation efficiency (oil removal from oil–water mixture) is achieved. No polycyclic aromatic hydrocarbons (PAHs) were detected in the treated water.
机译:当前的研究涉及用于油水混合物分离的石墨烯/聚合物纳米混合体系的自清洁纳米级涂层。使用单一的纳米杂化系统,我们开发了一种选择性去除碳氢化合物的两步工艺。总石油烃(TPHs)和分离效率由气相色谱-火焰电离检测器(GC-FID)确定。通过使用气相色谱-质谱联用(GC-MS)进行两阶段样品中的多环芳烃(PAHs)分析。分析表明,TPHs从290 ppm降低到1 ppm以下,并且分离效率(从油水混合物中去除油)达到99.5%以上。在处理后的水中未检测到多环芳烃(PAH)。

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