Department of Botany, Maharaj Singh College, Saharanpur, 247001, Uttar Pradesh, India.
Department of Chemical Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, Madhya Pradesh, India.
Environ Pollut. 2021 Jul 1;280:116890. doi: 10.1016/j.envpol.2021.116890. Epub 2021 Mar 19.
Biomass of Java plum (JP) and amaltash (AT) seeds were employed to remove arsenic from synthetic wastewater, cost effectively. The prepared biomasses were characterized by FE-SEM, EDX, FTIR, XRD, and ICP techniques. Experimentation the optimization study has been carried out by using Design-software 6.0.8. Response surface methodology has been applied to design the experiments where we have used three factors and three levels Box-Behnken design (BBD). Arsenic removal ability of bio-sorbents was evaluated and optimized by varying pH, adsorbent dose concentration of arsenic in synthetic wastewater. For 2.5 mg/L arsenic concentration and 80 mg adsorbent dose at pH 8.8 Java plum seeds (JP) based bio-adsorbent removed ∼93% and amaltash seeds (AT) based bio-adsorbent removed ∼91% arsenic from synthetic wastewater. The adsorption behaviour better explained following Freundlich model (R = 0.99) compared to Temkin model (R = 0.986) for As (III) ions. The adsorption capacity was 1.45 mg g and 1.42 mg g for JP and AT, respectively after 80 min under optimal set of condition. The adsorption kinetics was explained by either pseudo-first order model or Elovich model.
利用爪哇李(JP)和阿拉伯胶(AT)种子的生物质来从合成废水中有效地去除砷。通过 FE-SEM、EDX、FTIR、XRD 和 ICP 技术对制备的生物质进行了表征。通过使用 Design-software 6.0.8 进行了实验优化研究。响应面法被应用于设计实验,其中我们使用了三个因素和三个水平的 Box-Behnken 设计(BBD)。通过改变 pH 值、合成废水中砷的吸附剂剂量浓度,评估和优化生物吸附剂的砷去除能力。对于 2.5mg/L 砷浓度和 80mg 吸附剂剂量,在 pH 8.8 下,基于爪哇李种子(JP)的生物吸附剂从合成废水中去除了约 93%的砷,而基于阿拉伯胶种子(AT)的生物吸附剂去除了约 91%的砷。与 Temkin 模型(R=0.986)相比,吸附行为更符合 Freundlich 模型(R=0.99),更能解释 As(III)离子的吸附行为。在最佳条件下 80 分钟后,JP 和 AT 的吸附容量分别为 1.45mg/g 和 1.42mg/g。吸附动力学可以用伪一级动力学模型或 Elovich 模型来解释。