Sustainable production of cellulose nanofiber from sugarcane trash: A quality and life cycle assessment

2021 
Abstract Developing green processes in the chemistry and engineering domains is one of the most significant challenges for sustainable production. Sugarcane trash (ST) generated during the sugar extraction process is an excellent feedstock for the production of cellulose nanofibers (CNF). Four distinct routes for CNF production from ST has been designed. The OTH procedure included an Organosolv pretreatment, TEMPO oxidation, and High-pressure homogenization; the OLH procedure included an Organosolv pretreatment followed by Lime juice hydrolysis. Alkaline pretreatment, TEMPO oxidation and High-pressure homogenization comprised the ATH. The ALH consisted of Alkaline pretreatment, lime juice hydrolysis, and High-pressure homogenization. The characterization of the CNF samples revealed excellent purity and crystallinity. Fourier transform infrared spectroscopy (FTIR) was used to characterize the synthesized CNF. X-ray diffractograms (XRD) showed a crystallinity value of 64.28 %, 69.52 %, 60.54 %, and 68.81 % for OTH, OLH, ATH, and ALH, respectively. The OTH route produced the highest yield of cellulose (0.98 g/g ST) while the OTH and OLH routes produced high yields of CNF (0.34 g/g ST). Environmental parameters associated with the processes used to obtain CNF from ST were evaluated to achieve sustainable production and asses the environmental impact, including EcoScale (ES) and Life Cycle Analyses (LCA). EcoScale analysis assigned the OTH method a score of 84 and OLH, ALH, and ATH methods 74, 67, and 74, respectively. The life cycle assessment results indicated that the ATH method had a relatively low environmental impact across all impact categories. Finally, comparing CNF value to other carbon nanomaterials, the CNF derived from biomass was found to have a low environmental impact.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    78
    References
    0
    Citations
    NaN
    KQI
    []