Baruah, Julie ; Bardhan, Pritam ; Mukherjee, Ashis K. ; Deka, Ramesh Chandra ; Mandal, Manabendra ; Kalita, Eeshan (2022) Integrated pretreatment of banana agrowastes: Structural characterization and enhancement of enzymatic hydrolysis of cellulose obtained from banana peduncle International Journal of Biological Macromolecules, 201 . pp. 298-307. ISSN 01418130
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Official URL: http://doi.org/10.1016/j.ijbiomac.2021.12.179
Related URL: http://dx.doi.org/10.1016/j.ijbiomac.2021.12.179
Abstract
An integrated treatment coupling alkali, steam explosion and ammonia/chlorine-free bleaching with sequential mild acid pretreatment were performed to isolate and characterize cellulose from banana agrowastes followed by optimized enzymatic hydrolysis to glucose. The cellulose yield, compositional, microstructural, and morphological analysis initially obtained from three post-harvest banana agrowastes (peel, pseudostem, and peduncle) were surveyed. Isolation parameters for banana peduncle agrowastes, the most efficient precursor, were reconfigured for acid hydrolysis by applying an orthogonal L9 array of Taguchi design. Effects of solution-to-pulp ratio, acid concentration, temperature, and reaction time on physicochemical parameters were assessed resulting in ~81% cellulose recovery. Subsequently, cellulase driven enzymatic conversion to glucose was modelled using response surface methodology (RSM), where the mutual influences of incubation time, enzyme concentration, substrate concentration, and surfactant concentration were investigated. Artificial Neural Network (ANN) modelling further improved upon RSM optimizations ensuing ~ 97% optimized glucose yield, verified experimentally.
Item Type: | Article |
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Source: | Copyright of this article belongs to Elsevier B.V. |
Keywords: | Cellulose, Glucose production, Optimization, Modelling, Banana peduncle |
ID Code: | 126699 |
Deposited On: | 13 Oct 2022 06:48 |
Last Modified: | 13 Oct 2022 06:48 |
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