Testing the Antimicrobial Efficacy of Eco-Enzymes on Staphylococcus aureus and Escherichia coli as a Participatory Student Activity in Biotechnology Material for Food Waste Management

This study investigates the antimicrobial efficacy of eco-enzymes derived from organic waste, specifically fruit and vegetable peels, against Escherichia coli and Staphylococcus aureus bacteria. Eco-enzymes were produced through a simple fermentation process involving kitchen scraps, brown sugar, and water. Antibacterial activity was evaluated using agar diffusion assays, where different concentrations of eco-enzymes were tested against bacterial cultures. Results showed significant inhibition zones, indicating effective antimicrobial properties against both bacterial strains. Higher concentrations of eco-enzymes correlated with larger inhibition zones, highlighting their potential as natural alternatives for bacterial control in various applications, including food processing and wastewater treatment. Furthermore, eco-enzymes contribute to sustainable organic waste management by converting waste into useful bio-sanitizers, floor cleaners, bio-pesticides, and plant fertilizers. This research underscores the dual benefits of eco-enzymes in reducing environmental impact and promoting sustainable development goals.

Authors

Institutions

Publication Details

Journal
SYMBIOTIC Journal of Biological Education and Science
Published
2025-04-16
DOI
https://doi.org/10.32939/symbiotic.v6i1.156
Citations
1
Primary Topic
Enzyme Production and Characterization
Type
article
Field-Weighted Citation Impact
1.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the Antimicrobial Efficacy of Eco-Enzymes on Staphylococcus aureus and Escherichia coli as a Participatory Student Activity in Biotechnology Material for Food Waste Management

Eka Cahya Prima, Fina Nurul Arifah
1 citations
SYMBIOTIC Journal of Biological Education and Science
Enzyme Production and Characterization
1.23
article

Testing the Antimicrobial Efficacy of Eco-Enzymes on Staphylococcus aureus and Escherichia coli as a Participatory Student Activity in Biotechnology Material for Food Waste Management

Eka Cahya Prima, Fina Nurul Arifah
article en
1 citations

Abstract

This study investigates the antimicrobial efficacy of eco-enzymes derived from organic waste, specifically fruit and vegetable peels, against Escherichia coli and Staphylococcus aureus bacteria. Eco-enzymes were produced through a simple fermentation process involving kitchen scraps, brown sugar, and water. Antibacterial activity was evaluated using agar diffusion assays, where different concentrations of eco-enzymes were tested against bacterial cultures. Results showed significant inhibition zones, indicating effective antimicrobial properties against both bacterial strains. Higher concentrations of eco-enzymes correlated with larger inhibition zones, highlighting their potential as natural alternatives for bacterial control in various applications, including food processing and wastewater treatment. Furthermore, eco-enzymes contribute to sustainable organic waste management by converting waste into useful bio-sanitizers, floor cleaners, bio-pesticides, and plant fertilizers. This research underscores the dual benefits of eco-enzymes in reducing environmental impact and promoting sustainable development goals.

SYMBIOTIC Journal of Biological Education and ScienceVol. 6(1)
Indonesia University of Education (ID)
Universitas Pendidikan Indonesia
Openalex Percentile: Top 23%
Enzyme Production and Characterization
1.23
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.