Agro-Industrial Wastes as Sustainable Substrates for Microbial Enzyme Production

This review highlights the growing significance of microbial enzymes as sustainable biocatalysts in diverse industries, including food processing, pharmaceuticals, textiles, biofuels, and environmental management. Agro-industrial wastes generated from agricultural and food-processing activities present an eco-friendly and cost-effective alternative to synthetic substrates, contributing to waste valorization and circular bioeconomy goals. Recent research (2020–2024) has demonstrated promising enzyme production using lignocellulosic residues, fruit peels, and oilseed cakes through optimized fermentation and pretreatment strategies. Advances in strain improvement, synthetic biology, and omics-based tools have further enhanced enzyme yield and efficiency. However, key challenges persist in scaling up production, managing substrate variability, and conducting comprehensive techno-economic and life-cycle analyses. Addressing these gaps through integrated bioprocess optimization and cross-sector collaboration will be critical for translating laboratory findings into viable industrial applications.

Authors

Institutions

Publication Details

Journal
African Journal of Agricultural Science and Food Research
Published
2025-10-13
DOI
https://doi.org/10.62154/ajasfr.2025.020.01030
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agro-Industrial Wastes as Sustainable Substrates for Microbial Enzyme Production

Sarah Julius Oluwaseun, Omolara Comfort Olusesan, John Ayomide Oladipupo, Segun Abayomi Adeleke et al.
African Journal of Agricultural Science and Food Research
Biofuel production and bioconversion
article

Agro-Industrial Wastes as Sustainable Substrates for Microbial Enzyme Production

Sarah Julius Oluwaseun, Omolara Comfort Olusesan, John Ayomide Oladipupo, Segun Abayomi Adeleke, Christopher Onyema Ugwu, Abubakar Hassan Ukasha, Alebel Dejene Tinsae, Abubakar Adamu Sunusi
article en

Abstract

This review highlights the growing significance of microbial enzymes as sustainable biocatalysts in diverse industries, including food processing, pharmaceuticals, textiles, biofuels, and environmental management. Agro-industrial wastes generated from agricultural and food-processing activities present an eco-friendly and cost-effective alternative to synthetic substrates, contributing to waste valorization and circular bioeconomy goals. Recent research (2020–2024) has demonstrated promising enzyme production using lignocellulosic residues, fruit peels, and oilseed cakes through optimized fermentation and pretreatment strategies. Advances in strain improvement, synthetic biology, and omics-based tools have further enhanced enzyme yield and efficiency. However, key challenges persist in scaling up production, managing substrate variability, and conducting comprehensive techno-economic and life-cycle analyses. Addressing these gaps through integrated bioprocess optimization and cross-sector collaboration will be critical for translating laboratory findings into viable industrial applications.

African Journal of Agricultural Science and Food ResearchVol. 20(1)
University of Nigeria (NG), University of Ilorin (NG), Federal University of Technology (NG), University of Ibadan (NG), Forestry Research Institute of Nigeria (NG), Arba Minch University (ET), Federal University of Technology Minna (NG), Gombe State University (NG)
Openalex Percentile: Top 72%
Biofuel production and bioconversion
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.