Affiliations 

  • 1 Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia
  • 2 Department of Public Health, Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, Indonesia
  • 3 Department of Biological Sciences, Nicholls State University, Thibodaux, LA 70310, USA. Electronic address: [email protected]
  • 4 Department of Bioinformatics and Biotechnology, Government College University Faisalabad, 38000 Faisalabad, Pakistan
  • 5 Institute of Research and Community Service (LPPM), Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, Indonesia
  • 6 Department of Statistics, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia
  • 7 School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
Bioresour Technol, 2022 Jan;344(Pt B):126239.
PMID: 34737137 DOI: 10.1016/j.biortech.2021.126239

Abstract

The palm oil mill effluent (POME) from palm milling oil activities is discharged into various water bodies which poses several environmental problems including turbidity, increases COD and BOD, adds oil and grease, increases total nitrogen, and other pollutants. Therefore, it requires effective treatment to remove the pollutants before disposal. The objective was to critically discuss the performance of POME pretreatments along with their limitations. To offer a coverage on the present less efficient technologies, the opportunities and challenges of advanced pretreatments that combine magnetic materials and natural composites as adsorbents are comprehensively reviewed here. Moreover, potential of various magnetic materials for POME pretreatment has been described. Several existing pretreatment methods such as physical pretreatments, chemical pretreatments, coagulation-flocculation, and adsorption can remove pollutant content from POME with certain limitations and the use of magnetic composite adsorbents can enhance the treatment efficiency.

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