Journal of Materials Science and Chemical Engineering

Volume 12, Issue 1 (January 2024)

ISSN Print: 2327-6045   ISSN Online: 2327-6053

Google-based Impact Factor: 1.21  Citations  

Optimization of Cellulose Nanocrystal Isolation from Ayous Sawdust Using Response Surface Methodology

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DOI: 10.4236/msce.2024.121004    176 Downloads   644 Views  Citations

ABSTRACT

This study focuses on the extraction of cellulose nanocrystals (CNC), from microcrystalline cellulose (MCC), derived from Ayous sawdust. The process involves multiple steps and a large amount of chemical products. The objective of this research was to determine the effects of factors that impact the isolation process and to identify the optimal conditions for CNC isolation by using the response surface methodology. The factors that varied during the process were the quantity of MCC, the concentration of sulfuric acid, the hydrolysis time and temperature, and the ultrasonic treatment time. The response measured was the yield. The study found that with 5.80 g of microcrystalline cellulose, a sulfuric acid concentration of 63.50% (w/w), a hydrolysis time of 53 minutes, a hydrolysis temperature of 69˚C, and a sonication time of 19 minutes are the ideal conditions for isolation. The experimental yield achieved was (37.84 ± 0.99) %. The main factors influencing the process were the sulfuric acid concentration, hydrolysis time and temperature, with a significant influence (p < 0.05). Infrared characterization results showed that nanocrystals were indeed isolated. With a crystallinity of 35.23 and 79.74, respectively, for Ayous wood fiber and nanocrystalline cellulose were observed by X-ray diffraction, with the formation of type II cellulose, thermodynamically more stable than native cellulose type I.

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Alifa, T. , Aminatou, H. , Said, O. and Tchatchueng, J. (2024) Optimization of Cellulose Nanocrystal Isolation from Ayous Sawdust Using Response Surface Methodology. Journal of Materials Science and Chemical Engineering, 12, 36-55. doi: 10.4236/msce.2024.121004.

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