Production of Nanocellulose Crystal Derived from Enset Fiber Using Acid Hydrolysis Coupled with Ultrasonication, Isolation, Statistical Modeling, Optimization, and Characterizations

Surafel Mustefa Beyan,Temesgen Abeto Amibo,S Venkatesa Prabhu,Abraham Getahun Ayalew,Lakshmipathy R

doi:10.1155/2021/7492532

Surafel Mustefa Beyan, Temesgen Abeto Amibo + Show 3 more

Open Access

https://doi.org/10.1155/2021/7492532

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Abstract

Currently, many scholars are looking for renewable biomass sources for the isolation of nanomaterials that have a sustainable property and are ecofriendly. Thus, effectively synthesize and characterization enset fiber nanocellulose using acid hydrolysis with sonication is focus of study. Additionally, process optimization for isolation of nanocellulose (CNCs) from raw enset fiber using RSM-CCD and characterizations of obtained CNCs was explored. The quadratic model was selected, and optimized values for CNCs yield (77.69%) that were acquired to be H2SO4: 51.6 wt. %, reaction temperature: 47°C, and time: 66.5 min. Chemical composition analysis, XRD, FTIR, PSA, SEM, and TGA were used for characterizing CNCs. The particle size distribution of CNCs is 66 nm. It has a crystalline index of 80.91% and excellent thermal stability. FTIR and chemical composition result indicated the reduction and removal of lignin and hemicellulose components that are usually available in the raw enset fibers. The SEM analysis reveals the structure and arrangement of the fiber bundles inside the raw material to nanocellulose. This property shows its endowing as a possibly consistent load-bearing material. This study could be given a noteworthy thought for designing and emerging CNC isolation, optimization, and industrial application.

Highlights

Many scholars are searching for renewable biomass sources for the production material which is an ecoenvironmentally friend and most of all sustainability
From the various choices of models, a quadratic model is selected after studying R2 values, P values, and lack of fit, and the quadratic model of mathematical equations for the estimation of cellulose nanocrystals (CNCs) yield is given in Eq (5)
The predicted and actual values are in respectable agreement with each other (R2 = 99:3%)

Summary

Introduction

Many scholars are searching for renewable biomass sources for the production material which is an ecoenvironmentally friend and most of all sustainability. In this context, biomasses containing lignocellulosic compounds are the largest access as they are capable of being renewable raw materials for the synthesis of biobased cellulosic nanomaterials, and more than a few researchers have discovered the potential lignocellulosic biomass for supersede fossil-based feedstocks [1,2,3,4,5]. Plants have plenty of cellulose which is the renewable raw material for most biopolymers, and this sight availability of cellulosic material is very abundant as such wood to agricultural waste can be used [6,7,8].

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