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首页> 美国卫生研究院文献>Nanomaterials >Producing Magnetic Nanocomposites from Paper Sludge for the Adsorptive Removal of Pharmaceuticals from Water—A Fractional Factorial Design
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Producing Magnetic Nanocomposites from Paper Sludge for the Adsorptive Removal of Pharmaceuticals from Water—A Fractional Factorial Design

机译：从纸污染中生产磁性纳米复合材料用于从水 - A分数局面设计中吸附的药物清除

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摘要

In view of a simple after-use separation, the potentiality of producing magnetic activated carbon (MAC) by intercalation of ferromagnetic metal oxide nanoparticles in the framework of a powder activated carbon (PAC) produced from primary paper sludge was explored in this work. The synthesis conditions to produce cost effective and efficient MACs for the adsorptive removal of pharmaceuticals (amoxicillin, carbamazepine, and diclofenac) from aqueous media were evaluated. For this purpose, a fractional factorial design (FFD) was applied to assess the effect of the most significant variables (Fe3+ to Fe2+ salts ratio, PAC to iron salts ratio, temperature, and pH), on the following responses concerning the resulting MACs: Specific surface area (SBET), saturation magnetization (Ms), and adsorption percentage of amoxicillin, carbamazepine, and diclofenac. The statistical analysis revealed that the PAC to iron salts mass ratio was the main factor affecting the considered responses. A quadratic linear regression model A = f(SBET, Ms) was adjusted to the FFD data, allowing to differentiate four of the eighteen MACs produced. These MACs were distinguished by being easily recovered from aqueous phase using a permanent magnet (Ms of 22–27 emu g−1), and their high SBET (741–795 m2 g−1) were responsible for individual adsorption percentages ranging between 61% and 84% using small MAC doses (35 mg L−1).
机译：探讨了在这项工作中探讨了在这项工作中探讨了通过在粉末污泥中产生的粉末活性炭（PAC）框架中，通过晶体磁性氧化物纳米颗粒嵌入制造磁性活性炭（Mac）的潜力。评估用于从含水介质中获得用于吸附性药物（Amoxicillin，Carbamazepine和双氯芬酸的吸附除去药物（Amoxicillin，Carbamazephancaac）的成本有效和有效的MAC的合成条件。为此目的，应用分数阶乘设计（FFD）来评估最高变量（Fe3 +至Fe2 +盐比，PAC到熨烫盐比，温度和pH）的效果，以及关于所得到的MAC的反应：比表面积（SBET），饱和磁化强度（MS）和Amoxicillin，Carbamazepine和双氯芬酸的吸附百分比。统计学分析显示，PAC与铁盐质量比是影响所考虑的反应的主要因素。将二次线性回归模型A = F（SBET，MS）调整到FFD数据，允许区分产生的四个MAC中的四个。通过使用永磁体（22-27 emu G-1的MS）从水相容易从水相中回收这些MAC，并且它们的高SBET（741-795m 2 G-1）负责单个吸附百分比，范围为61％使用小MAC剂量（35 mg L-1）和84％。

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