FERMENTATION OF BAMBARA FLOUR: EXPLORING MICROBIAL ECOLOGY DYNAMICS AND EFFECTS ON ANTI-NUTRITIONAL FACTORS
Abstract
The fermentation of Bambara flour represents a crucial step in traditional food processing, modulating its nutritional profile and sensory attributes. This study investigates the microbial ecology dynamics during Bambara flour fermentation and its impact on anti-nutritional factors. A diverse consortium of lactic acid bacteria was employed to ferment Bambara flour under controlled conditions. Through molecular and biochemical analyses, we characterized the shifts in microbial populations and the degradation of anti-nutritional compounds throughout the fermentation process. Our findings reveal intricate microbial interactions, including the dominance of specific lactic acid bacteria species and their role in mitigating anti-nutritional factors. Furthermore, we elucidate the potential health benefits conferred by the fermentation process, highlighting its significance in enhancing the nutritional quality and safety of Bambara flour-based products.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Abimbola Bassey, ASSESSING THE TEMPERATURE-VISCOSITY RELATIONSHIP IN LOCALLY SOURCED VEGETABLE OILS , Global Multidisciplinary Journal: Vol. 3 No. 11 (2024): Volume 03 Issue 11
- Rahul S. Menon, Converging High-Speed Ethernet Technologies for Automotive and Data-Center Domains: Performance, Modulation, and Electromagnetic Considerations for 10 Gb/s Links , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elena M. Duarte, The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Lukas M. Verhoeven, Integrating Artificial Intelligence and Advanced Data Processing for Real-Time Credit Scoring: Theoretical Foundations, Methodological Innovations, and Implications for Contemporary Credit Risk Management , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Amrita K. Desai, Secure, Cost-Optimal, and Integrity-Preserving Data Migration: A Unified Framework for Moving Enterprise Workloads from Proprietary to Open-Source Cloud Databases , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Arjun Mehta, Artificial IntelligenceβDriven Hierarchical Supply Chain Planning: Toward a Unified Framework for Visibility, Demand Forecasting, and Sustainable Optimization , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Dr. Elena MartΓnez, Integrating Agility, Digital Intelligence, and Sustainable Urban Logistics: A Comprehensive Framework for Resilient Modern Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Van der Meer, Strategic Cybersecurity Governance And Risk-Based Policy Integration In Contemporary Organizations , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11