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Removal of aqueous carbamazepine using graphene oxide nanoplatelets: process modelling and optimization

机译:使用石墨烯纳米薄层去除含水尿甲酰胺:工艺建模和优化

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Unplanned and unmonitored developmental activities have resulted in a rapid emergence of pollutants like pharmaceuticals and personal care products (PPCPs) in the environment. These PPCPs are considered as potential health hazards. A wide variety of physical, biological and chemical processes are presently being investigated for ensuring the efficient removal of such pollutants from effluents. The present study investigates the potential of graphene oxide nanoplatelets (GONPs) for removal of a common and extensively used drug, Carbamazepine (CBZ) from aqueous solutions. Batch studies were performed to assess the potential of graphene oxide for adsorption of CBZ under different conditions of initial CBZ concentration, adsorbent dosage, temperature and solution pH. Process optimization was performed using Response Surface Methodology and Artificial Neural Network modelling. Results obtained indicated 99% CBZ removal under optimum solution pH, adsorbent dosage and treatment duration of 6, 1?g?L??1 and 120?min respectively. Results revealed that CBZ adsorption by GONPs followed Temkin isotherm and pseudo second order kinetics. A subsequent reusability study established that the GONPs could be reused for up to 8 times without any loss of adsorption efficiency. Therefore, it can be concluded that graphene oxide reported herein has immense potential for adsorption of trace organic pollutants from aqueous phases.
机译:无计划和未调解的发展活动导致了环境中药品和个人护理产品(PPCP)等污染物的快速出现。这些PPCP被视为潜在的健康危害。目前正在研究各种物理,生物和化学过程,以确保从流出物中有效地去除这些污染物。本研究研究了石墨烯氧化物纳米孔(GONP)的潜力,用于从水溶液中除去常见和广泛使用的药物,卡巴马嗪(CBZ)。进行批量研究以评估石墨烯氧化物的潜力,用于在初始CBZ浓度的不同条件下吸附CBZ,吸附剂剂量,温度和溶液pH。使用响应面方法和人工神经网络建模进行过程优化。得到的结果表明,在最佳溶液pH,吸附剂剂量和治疗持续时间下,分别为99%CBZ去除,吸附剂剂量和6,1μm≤1〜120≤min。结果表明,CBZ由GONPS的吸附是Temkin等温线和伪二阶动力学。随后的可重用性研究确定,不会重复使用高达8倍而不会损失吸附效率。因此,可以得出结论,本文报道的石墨烯氧化物具有来自水相吸附痕量有机污染物的潜力。

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