Bioremediation Potential of Cooking Oil- Degrading Microbes from Food Processing and Restaurant Wastewater

Fat, oil, and grease (FOG) pollution from the food industry poses significant environmental and economic challenges, contributing to wastewater blockages and river contamination. Traditional physical treatments, such as precipitation and oil-water separation, are costly, labour-intensive, and generate secondary waste. Microbe-based biological treatment has emerged as a safer and more effective alternative. This study aims to isolate and characterise oil -degrading microbes from wastewater produced by food processing factories and restaurants in Malaysia. Four microbial strains—Acinetobacter oryzae MSMA-I1, A. piscicola MSMA-I2, Candida palmioleophila MSMA- A3, and A. guillouiae MSMA-A7—were identified through biochemical and molecular testing. The isolates demonstrated high growth rates and emulsification activity when incubated with 2% cooking oil as the sole carbon source for 72 hours. These strains also exhibited resilience at temperatures of 25–37 °C and pH 6–9, conditions typical of Malaysian wastewater. Gravimetric analysis showed that isolates I2, A3, and A7 achieved oil degradation rates exceeding 50%, while isolate I1 exhibited lower efficiency at 31.58%. This study provides valuable microbial candidates for the efficient bioremediation of FOG in food industry wastewater, offering a sustainable solution to environmental pollution.

Authors

Publication Details

Journal
ASM Science Journal
Published
2025-10-10
DOI
https://doi.org/10.32802/asmscj.2025.2014
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bioremediation Potential of Cooking Oil- Degrading Microbes from Food Processing and Restaurant Wastewater

Mohd Termizi Yusof, Mohd Asrore Mohd Shaufi, Shuhaimi Mustafa, Muhamad Firdaus Syahmi Sam-on et al.
ASM Science Journal
Edible Oils Quality and Analysis
article

Bioremediation Potential of Cooking Oil- Degrading Microbes from Food Processing and Restaurant Wastewater

Mohd Termizi Yusof, Mohd Asrore Mohd Shaufi, Shuhaimi Mustafa, Muhamad Firdaus Syahmi Sam-on, Mohd Arif Rosli, Muhammad Salahudin Kheirel Anuar, Ismail Nur Isz Aishah, Saad Nur Alyaa Afiqah
article en

Abstract

Fat, oil, and grease (FOG) pollution from the food industry poses significant environmental and economic challenges, contributing to wastewater blockages and river contamination. Traditional physical treatments, such as precipitation and oil-water separation, are costly, labour-intensive, and generate secondary waste. Microbe-based biological treatment has emerged as a safer and more effective alternative. This study aims to isolate and characterise oil -degrading microbes from wastewater produced by food processing factories and restaurants in Malaysia. Four microbial strains—Acinetobacter oryzae MSMA-I1, A. piscicola MSMA-I2, Candida palmioleophila MSMA- A3, and A. guillouiae MSMA-A7—were identified through biochemical and molecular testing. The isolates demonstrated high growth rates and emulsification activity when incubated with 2% cooking oil as the sole carbon source for 72 hours. These strains also exhibited resilience at temperatures of 25–37 °C and pH 6–9, conditions typical of Malaysian wastewater. Gravimetric analysis showed that isolates I2, A3, and A7 achieved oil degradation rates exceeding 50%, while isolate I1 exhibited lower efficiency at 31.58%. This study provides valuable microbial candidates for the efficient bioremediation of FOG in food industry wastewater, offering a sustainable solution to environmental pollution.

ASM Science JournalVol. 20(2)
Openalex Percentile: Top 78%
Edible Oils Quality and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.