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Endo-Exoglucanase Synergism for Cellulose Nanofibril Production Assessment and Characterization
Ricardo Gonzalo Ramírez Brenes1,2, Lívia da Silva Chaves1, Ninoska Bojorge1
1Department of Chemical and Petroleum Engineering, Fluminense Federal University, R. Passos da Patria 156, Niterói 24210-140, RJ, Brazil.
Molecules (Basel, Switzerland)
|February 11, 2023
Summary
Researchers optimized cellulose nanofibril (CNF) production using enzymatic hydrolysis and ultrasonic dispersion. This process yielded CNF with a high crystallinity index of 80.87% and reduced diameter to 250-300 nm.
Area of Science:
- Materials Science
- Biotechnology
- Chemical Engineering
Background:
- Cellulose nanofibrils (CNF) offer advanced material properties.
- Efficient production methods are crucial for industrial applications.
- Enzymatic hydrolysis is a promising route for CNF synthesis.
Purpose of the Study:
- To optimize the production of cellulose nanofibrils (CNF) from kraft cellulose pulp.
- To investigate the synergistic effects of enzyme blends on CNF properties.
- To determine the optimal conditions for maximizing CNF crystallinity.
Main Methods:
- Utilized a centroid simplex mixture design and central composite rotational design (CCRD) for process optimization.
- Employed an enzyme blend of 69% endoglucanase and 31% exoglucanase.
- Characterized CNF using X-ray diffraction (XRD) for crystallinity index (CrI) and electron microscopy for diameter analysis.
Main Results:
- Achieved a high crystallinity index (CrI) of 80.87% for CNF.
- Optimized solid loading at 15 g/L and enzyme loading at 0.974.
- Reduced CNF average diameter to 250-300 nm with ultrasonic dispersion, compared to 550-600 nm without.
- Demonstrated synergistic enzyme interactions with Colby factor values > 1.
Conclusions:
- Enzymatic hydrolysis combined with ultrasonic dispersion is effective for producing high-crystallinity CNF.
- The optimized process parameters enhance CNF properties.
- Synergistic enzyme action plays a key role in efficient nanocellulose production.
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