Loading…
Theoretical modeling and experimental validation of hydrodynamic cavitation reactor with a Venturi tube for sugarcane bagasse pretreatment
•Theoretical modeling of a hydrodynamic cavitation (HC) reactor with Venturi tube.•HC assisted alkaline pretreatment was employed for lignin removal.•Pretreatment was statistically optimized and experimentally verified.•Under the optimal condition, the maximum lignin removal was 56.01%. A hydrodynam...
Saved in:
Published in: | Bioresource technology 2020-09, Vol.311, p.123540-123540, Article 123540 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •Theoretical modeling of a hydrodynamic cavitation (HC) reactor with Venturi tube.•HC assisted alkaline pretreatment was employed for lignin removal.•Pretreatment was statistically optimized and experimentally verified.•Under the optimal condition, the maximum lignin removal was 56.01%.
A hydrodynamic cavitation reactor with a Venturi tube was modeled through a computational fluid dynamics approach in order to evaluate the influence of pressure ratio, diameter and length of the throat zone. A cavitation reactor equipped with a Venturi tube was built in accordance with the computational modeling results. Hydrodynamic cavitation assisted alkaline pretreatment was performed to evaluate the influence of NaOH concentration (1–5%), the weight to volume percentage of solid in liquid (1–5%) and the reaction time (20–60 min.) in the lignin removal. The response surface methodology was used to optimize pretreatment parameters for maximum lignin removal. The optimal condition was 4.90% of NaOH and a solid weight percentage in liquid of 2.03% in 58.33 min, resulting in a maximum removal of 56.01% of lignin. Hydrodynamic cavitation can be easy to employ, an efficient and promissory pretreatment tool. |
---|---|
ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2020.123540 |