Process optimisation for improvement of crystallinity index of cellulose nanofibre from Imperata cylindrica by Taguchi methodology
Cellulose nanofibre (CNF) is a sustainable and nanostructured eco-friendly material. The high cost of CNF, on the other hand, limits its use in a variety of applications, which can be overcome by developing a suitable extraction technique and employing low-cost biomass. Therefore, the purpose of pre...
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Veröffentlicht in: | Biomass conversion and biorefinery 2024, Vol.14 (2), p.2787-2798 |
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Sprache: | eng |
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Zusammenfassung: | Cellulose nanofibre (CNF) is a sustainable and nanostructured eco-friendly material. The high cost of CNF, on the other hand, limits its use in a variety of applications, which can be overcome by developing a suitable extraction technique and employing low-cost biomass. Therefore, the purpose of present study is to use Taguchi methodology to optimise various process parameters during bleaching process in order to get a higher crystallinity CNF from
I. cylindrica
. According to ANOVA, sodium chlorite had the greatest effect (48.08%) on CNF extraction, followed by temperature (24.53%), time (20.74%), and glacial acetic acid (6.65%). Between glacial acetic acid and time, the strongest interaction (SI 58.61%) was found. The sodium chlorite and time (SI 47.57%) had the second highest interaction, followed by sodium chlorite and temperature (SI 29.41%), sodium chlorite and glacial acetic acid (SI 21.66%), temperature and time (SI 19.1%), and glacial acetic acid and temperature (SI 16.15%). The S/N ratio of CNF was improved from 30.81 to 36.734. The Taguchi technique predicts the highest optimal yield using the sodium chlorite (10 g/mL), glacial acetic acid (20 mM), temperature (70 °C), and time (2 h) as parameters. The crystallinity index was evidently increased from 46.36 to 50.21 while raw biomass was pretreated. After additional alkali treatment, the crystallinity index was enhanced to 61.42. The crystallinity index of CNF was increased to 67.65 when bleaching conditions were optimised. |
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ISSN: | 2190-6815 2190-6823 |
DOI: | 10.1007/s13399-022-02385-5 |