利用从海洋来源获得的黑色素纳米色素通过吸附作用从水溶液中去除重金属的数据：

Manirethan Vishnu, Raval Keyur, Rajan Reju, Thaira Harsha, Balakrishnan Raj Mohan

Department of Chemical Engineering, National Institute of Technology Karnataka, Mangalore 575025, India.

Data Brief. 2018 Jul 31;20:178-189. doi: 10.1016/j.dib.2018.07.065. eCollection 2018 Oct.

Heavy metals are one of deadly contaminants in ground water across the globe. Thus, herein, this data set comprises experimental and modelled data on the removal of heavy metals from ground water using melanin synthesized by the marine bacteria . Characterization of biosynthesized melanin and modelling of the kinetic and the thermodynamic study on adsorption of heavy metals such as mercury (Hg(II)), lead (Pb(II)), chromium (Cr(VI)), and copper (Cu(II)) are included in this article. Apart from the study of parameters involved in adsorption such as pH, temperature, concentration and time; the data from these studies are modelled to analyze the nature and characteristic of heavy metals adsorbing to melanin nanoparticles. The figures from models, results from models as tables, characterization and analytical figures are depicted in this work.

重金属是全球地下水中致命的污染物之一。因此，在此数据集中包含了利用海洋细菌合成的黑色素去除地下水中重金属的实验和模型数据。本文包括生物合成黑色素的表征以及对汞（Hg(II)）、铅（Pb(II)）、铬（Cr(VI)）和铜（Cu(II)）等重金属吸附的动力学和热力学研究的建模。除了研究吸附过程中涉及的参数，如pH值、温度、浓度和时间外，这些研究的数据还进行了建模，以分析吸附到黑色素纳米颗粒上的重金属的性质和特征。本文展示了模型的图表、作为表格的模型结果、表征和分析图表。