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Mannooligosaccharide production from açaí seeds by enzymatic hydrolysis: optimization through response surface
Sarha Lucia Murillo-Franco1,2, Juan David Galvis-Nieto1, Carlos E Orrego3
1Departamento de Ingeniería Química, Instituto de Biotecnología y Agroindustria, Universidad Nacional de Colombia, 170003, Manizales, Caldas, Colombia.
Summary
This study explores using açaí seeds to create valuable mannooligosaccharides (MOS) through enzymatic hydrolysis. Optimized conditions yielded approximately 10 g/L of MOS, demonstrating a sustainable approach to food waste valorization.
Area of Science:
- Food Science and Technology
- Biotechnology
- Sustainable Chemistry
Background:
- Açaí (Euterpe oleracea Mart.) is recognized for bioactive compounds, but its seeds represent a significant waste stream.
- Low pulp yield in açaí processing necessitates finding value-added applications for byproducts like seeds.
Purpose of the Study:
- To investigate the enzymatic hydrolysis of açaí seeds for producing mannooligosaccharides (MOS).
- To optimize MOS extraction using response surface methodology (RSM), minimizing mannose byproduct and processing time.
Main Methods:
- Enzymatic hydrolysis of açaí seeds was employed.
- Response Surface Methodology (RSM) was utilized to optimize process parameters.
- Quadratic models were developed to correlate MOS production with hydrolysis conditions.
Main Results:
- Achieved a MOS production of approximately 10 g/L.
- RSM models showed good correlation (R2: 0.6136–0.9031) between MOS production and hydrolysis conditions.
- Optimal conditions identified near 40°C, intermediate enzyme loading, and basic pH for efficient MOS generation.
Conclusions:
- The study successfully demonstrated the potential of açaí seeds for MOS production via enzymatic hydrolysis.
- Optimized conditions accelerated processing time and reduced mannose byproduct, enhancing profitability.
- Validated models predicted experimental results within a 9% margin of error, confirming model validity and contributing to sustainable resource utilization.
