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Abstract：
Calcium and magnesium are the most common sources of water hardness. These divalent ions can react with soap anions decreasing the cleaning efficiency and hence, high consumption of detergents occurred as a result. Development of novel low-cost adsorbents for metals removal has attracted a great attention. In this study, bentonite/γ-alumina nanocomposites were used to remove Mg2+ from water. Effects of process parameters including γ-alumina content, initial ion concentration, adsorbent dosage, contact time and pH on adsorption process were investigated. Increasing the amount of alumina in composite from 1 to 3 and 5 wt%, caused a negative effect on the amount of adsorbed magnesium ions per gram of adsorbent; while increasing the initial ion concentration from 60 ppm to 100 ppm resulted in higher uptake per unit mass of the adsorbent from 2.15 mg/g to 2.80 mg/g, respectively. Langmuir, Freundlich and D-K-R isotherm models were used for data analysis, among which the Langmuir model was found to be more successful (R2 = 0.9955), obtaining the maximum adsorption capacity (Qm) of 3.478 mg/g. Moreover, calculation of the adsorption energy (E) from DKR isotherm model depicted the physical nature of the adsorption of Mg2+ onto bentonite/γ-alumina nanocomposite powder.
摘要：
钙和镁是水硬度的最常见来源。这些二价离子可以与皂阴离子反应，降低清洁效率，因此，因此发生了洗涤剂的高消耗。用于金属去除的新型低成本吸附剂的开发引起了极大的关注。在这项研究中,膨润土/γ-氧化铝纳米复合材料用于去除水中的Mg2+。包括γ-氧化铝含量在内的工艺参数的影响，初始离子浓度,吸附剂用量,考察了接触时间和pH值对吸附过程的影响。将复合材料中氧化铝的量从1增加到3和5重量%，对每克吸附剂吸附的镁离子的量产生负面影响;而将初始离子浓度从60ppm增加到100ppm导致每单位质量吸附剂的吸收从2.15mg/g增加到2.80mg/g，分别。朗缪尔,Freundlich和D-K-R等温线模型用于数据分析，其中发现朗缪尔模型更成功(R2=0.9955)，获得的最大吸附容量(Qm)为3.478mg/g。此外，从DKR等温线模型计算吸附能（E）描述了Mg2在膨润土/γ-氧化铝纳米复合粉末上吸附的物理性质。
