Hui Zhang , Yueli Wen , Bin Wang , Wenrui Hua , Wei Huang
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引用次数: 0
Abstract
Background
The removal of high-concentrated ammonia nitrogen (AN) from the real coking wastewater (CW) is a tough nut to crack for coking industry. Coal-gangue, a solid waste, troubles the world, too. From the perspective of treat waste with waste, a promising coal-gangue-based adsorbent BY-N1, was developed to treat high-concentrated real CW and show excellent regenerability and removal rate (RR). This work hopefully broadens a new horizon for the development of waste-based adsorbent for removing AN in industrial application.
Methods
BY-N1 was prepared from coal-gangue by simple solvent treatment and calcination. The effects of the adsorbent dosage, pH, initial concentration and reusability were investigated. Based on the adsorption isotherms, kinetics and thermodynamics, the adsorption mechanism was proposed.
Significant findings
BY-N1 exhibits the potential in industry application, with the best ammonia nitrogen removal rate (ANRR) of 40.53 % for the complex real CW (about 3000 mg/L) in 20 mins and promising regenerability. Chemical adsorption dominant the adsorption process, the quasi-second-order model and Freundlich isotherm fit the adsorption process better, the maximum saturated adsorption capacity of BY-N1 is 240 mg g-1. This is a spontaneous and endothermic process by thermodynamic analysis, which involves the crucial contribution of complexation, hydrogen bonding interaction, electrostatic adsorption and Vander Waals force.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.