Advances in pretreatment technology for handling the palm oil mill effluent: Challenges and prospects.

Magnetic composites Palm oil mill effluent Pretreatment technologies Treatment efficiency

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 10 09 2021
revised: 22 10 2021
accepted: 23 10 2021
pubmed: 6 11 2021
medline: 15 12 2021
entrez: 5 11 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34737137
pii: S0960-8524(21)01581-9
doi: 10.1016/j.biortech.2021.126239
pii:
doi:

Substances chimiques

Industrial Waste 0
Plant Oils 0
Palm Oil 5QUO05548Z

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

126239

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Anisa Ratnasari (A)

Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia.

Achmad Syafiuddin (A)

Department of Public Health, Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, Indonesia.

Raj Boopathy (R)

Department of Biological Sciences, Nicholls State University, Thibodaux, LA 70310, USA. Electronic address: ramaraj.boopathy@nicholls.edu.

Sana Malik (S)

Department of Bioinformatics and Biotechnology, Government College University Faisalabad, 38000 Faisalabad, Pakistan.

Muhammad Aamer Mehmood (M)

Department of Bioinformatics and Biotechnology, Government College University Faisalabad, 38000 Faisalabad, Pakistan.

Rizki Amalia (R)

Institute of Research and Community Service (LPPM), Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, Indonesia.

Dedy Dwi Prastyo (D)

Department of Statistics, Institut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia.

Nur Syamimi Zaidi (N)

School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

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Classifications MeSH