4.7 Article

Layer-by-layer strategy for adsorption capacity fattening of endophytic bacterial biomass for highly effective removal of heavy metals

期刊

CHEMICAL ENGINEERING JOURNAL
卷 239, 期 -, 页码 312-321

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2013.11.029

关键词

Layer-by-layer; Endophyte biosorbent; Heavy metal removal; Adsorption capacity

资金

  1. Excellent Youth Foundation of Hunan Scientific Committee [14JJ1015]
  2. National Natural Science Foundation of China [51178173, 51202065, 51078129]
  3. Program for Innovation Research Team in University [IRT1238]

向作者/读者索取更多资源

In this study, the layer-by-layer fattening of functional groups on the surface of endophytic bacterial biomass of Pseudomonas sp. Lk9 was achieved by stepwise grafting polyallylamine (PAA). The presence of the PAA layer on the biomass surface was confirmed by FTIR, X-ray photoelectron spectroscopy (XPS), and elemental analysis. The PAA modification drastically enhanced the adsorption capacity of biomass LK9 toward heavy metals. In contrast, the PAA bilayer-modified Lk9 (Lk9-2P) showed the highest uptake capacity and presented high uptake capacities for Cd2+ and Cu2+ The adsorption could be conducted in a wide pH range of 3-6 and the equilibrium fast reached in 45 min. The results of XPS and FTIR analysis reflected that the binding of heavy metals on the biosorbents occurred mainly through coordination. Recyclability test revealed that Lk9-2P remained stable and high sorption capacity after five successive cycles. More importantly, the application of Lk9-2P to practical industrial effluent demonstrated that the new biosorbent could effectively treat practical wastewater with all the heavy metals brought down to lower than 0.001 mg/L. This study shows that the layer-by-layer fattening strategy is very effective for the development of high performance adsorbents for the removal of heavy metal ions from wastewater. (C) 2013 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据