期刊
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
卷 9, 期 1, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jece.2020.104993
关键词
Fibrous adsorbent; Radiation induced emulsion grafting; Boron removal; Competitive adsorption; Fixed-bed column
资金
- Ministry of Science, Technology and Innovation Malaysia (MOSTI) [03-03-01-SF0058]
The study investigated the removal of boron from real industrial wastewater containing high concentration of ammonia using a fibrous adsorbent bearing glucamine groups obtained by green method. The obtained adsorbent was tested for adsorption performance in comparison with a synthetic aqueous solution in a fixed bed-column. The results showed that the experimental breakthrough curves were best fitted by the Modified Dose-Response (MDR) model.
Removal of boron from real industrial wastewater containing high concentration of ammonia was investigated using a fibrous adsorbent bearing glucamine groups obtained by green method. The adsorbent was prepared by radiation induced emulsion grafting (RIEG) of glycidyl methacrylate (GMA) onto nylon-6 fibres and subsequent treatment with N-methyl-D-glucamine (NMDG) under controlled conditions. The performance of the obtained adsorbent was tested for adsorption of boron from a real industrial wastewater containing high concentration of ammonia in comparison with a synthetic aqueous solution using in a fixed bed-column under different feed space velocities (SV). The dynamic adsorption data of the fixed column was tested against three most common mathematical adsorption models: Yoon-Nelson, Thomas and Modified Dose-Response (MDR) models to predict breakthrough curves and determine the column design parameters. The results showed that the experimental breakthrough curves were best fitted by MDR model. The adsorbed boron was eluted with 1 M HCl solution and the adsorbent was regenerated for stability evaluation using 5 adsorption/desorption cycles. The results suggest that the obtained adsorbent has a strong potential for industrial pilot scale boron removal applications.
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