Affiliations 

  • 1 Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
  • 2 Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham Malaysia Campus, Jalan Broga, 43500, Semenyih, Selangor Darul Ehsan, Malaysia. Electronic address: PauLoke.Show@nottingham.edu.my
  • 3 Nanotechnology & Catalysis Research Centre, Deputy Vice Chancellor (Research & Innovation) Office, University of Malaya, 50603, Kuala Lumpur, Malaysia. Electronic address: jcjuan@um.edu.my
  • 4 Research Center for Energy Technology and Strategy, National Cheng Kung University, Tainan, 701, Taiwan; Department of Chemical Engineering, National Cheng Kung University, Tainan, 701, Taiwan; Research Centre for Circular Economy, National Cheng Kung University, Tainan, 701, Taiwan; College of Engineering, Tunghai University, Taichung, 407, Taiwan
  • 5 Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia
  • 6 School of Chemical Sciences, University of Science, Malaysia, 11800, Pulau Pinang, Malaysia
  • 7 School of Energy and Chemical Engineering, Xiamen University Malaysia, 43900, Sepang, Malaysia
  • 8 Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia. Electronic address: tcling@um.edu.my
Chemosphere, 2021 Jan;262:127829.
PMID: 32768754 DOI: 10.1016/j.chemosphere.2020.127829

Abstract

Recent trend to recover value-added products from wastewater calls for more effective pre-treatment technology. Conventional landfill leachate treatment is often complex and thus causes negative environmental impacts and financial burden. In order to facilitate downstream processing of leachate wastewater for production of energy or value-added products, it is pertinent to maximize leachate treatment performance by using simple yet effective technology that removes pollutants with minimum chemical added into the wastewater that could potentially affect downstream processing. Hence, the optimization of coagulation-flocculation leachate treatment using multivariate approach is crucial. Central composite design was applied to optimize operating parameters viz. Alum dosage, pH and mixing speed. Quadratic model indicated that the optimum COD removal of 54% is achieved with low alum dosage, pH and mixing speed of 750 mgL-1, 8.5 and 100 rpm, respectively. Optimization result showed that natural pH of the mature landfill leachate sample is optimum for alum coagulation process. Hence, the cost of pH adjustment could be reduced for industrial application by adopting optimized parameters. The inherent mechanism of pollutant removal was elucidated by FTIR peaks at 3853 cm-1 which indicated that hydrogen bonds play a major role in leachate removal by forming well aggregated flocs. This is concordance with SEM image that the floc was well aggregated with the porous linkages and amorphous surface structure. The optimization of leachate treatment has been achieved by minimizing the usage of alum under optimized condition.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.