Valorization of olive mill wastewater for acetic acid production by <i>Bacillus </i>strains isolated from bovine rumen

The valorization of olive mill wastewater (OMW) through microbial fermentation presents an innovative approach to addressing environmental challenges associated with olive oil production. This study aimed to investigate the potential of Bacillus strains isolated from bovine rumen for acetic acid production using olive oil mill wastewater as the primary substrate. Physicochemical analyses revealed high organic load (chemical oxygen demand of 183 g O₂ L–1, biological oxygen demand of 7 g O₂ L–1) and acidic pH (4.5) in olive oil mill wastewater, making it suitable for microbial growth. A total of 25 bacterial strains were isolated, and preliminary screening based on biogas production identified five efficient acid-producing Bacillus strains. Species-level identification using the bacterial identification system confirmed the presence of Bacillus licheniformis and Bacillus circulans. Batch fermentations conducted over 120 h produced up to 14 mL of biogas per 100 mL of culture and acetic acid concentrations of 28 g L–1, highlighting the strains’ strong acidification capacity. This study demonstrates the feasibility of bioconverting agricultural waste into valuable bioproducts, contributing to sustainable waste management, bioenergy generation, and promoting circular economy practices.

Authors

Institutions

Publication Details

Journal
Environmental and Experimental Biology
Published
2025-04-03
DOI
https://doi.org/10.22364/eeb.23.03
Citations
1
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Valorization of olive mill wastewater for acetic acid production by Bacillus strains isolated from bovine rumen

Malika Meziane, Djawad Rouam
1 citations
Environmental and Experimental Biology
Edible Oils Quality and Analysis
0.94
article

Valorization of olive mill wastewater for acetic acid production by Bacillus strains isolated from bovine rumen

Malika Meziane, Djawad Rouam
article en
1 citations

Abstract

The valorization of olive mill wastewater (OMW) through microbial fermentation presents an innovative approach to addressing environmental challenges associated with olive oil production. This study aimed to investigate the potential of Bacillus strains isolated from bovine rumen for acetic acid production using olive oil mill wastewater as the primary substrate. Physicochemical analyses revealed high organic load (chemical oxygen demand of 183 g O₂ L–1, biological oxygen demand of 7 g O₂ L–1) and acidic pH (4.5) in olive oil mill wastewater, making it suitable for microbial growth. A total of 25 bacterial strains were isolated, and preliminary screening based on biogas production identified five efficient acid-producing Bacillus strains. Species-level identification using the bacterial identification system confirmed the presence of Bacillus licheniformis and Bacillus circulans. Batch fermentations conducted over 120 h produced up to 14 mL of biogas per 100 mL of culture and acetic acid concentrations of 28 g L–1, highlighting the strains’ strong acidification capacity. This study demonstrates the feasibility of bioconverting agricultural waste into valuable bioproducts, contributing to sustainable waste management, bioenergy generation, and promoting circular economy practices.

Environmental and Experimental BiologyVol. 23(1)
Hassiba Benbouali University of Chlef (DZ), Life University (US)
Openalex Percentile: Top 27%
Edible Oils Quality and Analysis
0.94
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.