吸附
蛋白核小球藻
单层
化学
X射线光电子能谱
傅里叶变换红外光谱
三元运算
无机化学
朗缪尔吸附模型
化学工程
小球藻
有机化学
藻类
生态学
生物化学
计算机科学
工程类
生物
程序设计语言
作者
Wen Shi,Zhiwei Wang,Feili Li,Yuxin Xu,Xijing Chen
出处
期刊:Chemosphere
[Elsevier BV]
日期:2023-04-05
卷期号:329: 138596-138596
被引量:11
标识
DOI:10.1016/j.chemosphere.2023.138596
摘要
When the multilayer adsorption of lead (Pb) and fulvic acid (FA) occurs on algal surface, the adsorption capacity of Pb on the algae will increase dramatically, thus increasing the environmental risk of Pb. However, the corresponding mechanism and the influence of environmental factors on the multilayer adsorption remain unclear. Here, microscopic observation methods and batch adsorption experiments were exactly designed to investigate the adsorption behavior of multilayer adsorption of Pb and FA on algal surface. The results of Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS) revealed that carboxyl groups were the major functional groups responsible for the binding of Pb ions in multilayer adsorption, and its number was more than that in monolayer adsorption. The solution pH, with an optimal pH of 7, was a critical factor influencing the occurrence of multilayer adsorption because it influences the protonation of the involved functional groups and determines the concentration of Pb2+ and Pb-FA in the solution. Increasing the temperature was beneficial for multilayer adsorption, with ΔH for Pb and FA varied from +17.12 to +47.68 kJ/mol and +16.19 to +57.74 kJ/mol, respectively. The multilayer adsorption of Pb and FA onto algal surface also followed the pseudo-second order kinetic model, but was extremely slower than the monolayer adsorption of Pb and FA by 30 times and 15 orders of magnitude, respectively. Therefore, the adsorption of Pb and FA in the ternary system had a different adsorption behavior than that in the binary system, which verified the presence of multilayer adsorption of Pb and FA and further support the multilayer adsorption mechanism. This work is important to provide data support for water ecological risk prevention and control of heavy metals.
科研通智能强力驱动
Strongly Powered by AbleSci AI