Research Data Leeds Repository

Data associated with 'Three methods to measure the dissolution activation energy of cellulosic fibres using time-temperature superposition'

Liang, Yunhao and Ries, Michael and Hine, Peter (2022) Data associated with 'Three methods to measure the dissolution activation energy of cellulosic fibres using time-temperature superposition'. University of Leeds. [Dataset] https://doi.org/10.5518/1109

Dataset description

This paper investigates the dissolution kinetics of cellulosic fibres in excess [C2mim][OAc] with three quantifying parameters based on optical microscopy images of dried cellulose samples and cellulose hydrogels. The dissolution process under different times and temperatures was analysed with time-temperature superposition and was found to follow Arrhenius behaviour, allowing an activation energy to be calculated. Three activation energy values were obtained from three different quantifying methods; these were found to agree, giving an average value of 73 ± 2 kJ/mol. We argue that our hydrogel method is an excellent choice for studying dissolution behaviour of cellulose. Additionally, a new method is developed to determine the shrinking ratio of different regions of the processed cellulose samples along with the different water volume fractions contained therein. The findings will be of interest to researchers making all cellulose composites and those studying the dissolution of cellulose by ionic liquids.

Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1016/j.carbpol.2022.119541 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	03 May 2022 15:09
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/956
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Liang, Yunhao https://orcid.org/0000-0003-0552-1297 University Of Leeds https://ror.org/024mrxd33 ROR Ries, Michael https://orcid.org/0000-0002-8050-3200 University Of Leeds https://ror.org/024mrxd33 ROR Hine, Peter University Of Leeds https://ror.org/024mrxd33 ROR Type of data: Dataset Publication date: 2022 Resource language: English Publisher: University of Leeds Contact Email Address: m.ries@leeds.ac.uk Last Modified: 03 May 2022 22:35

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dataset.xlsx [772kB] dataset.xlsx [772kB] dataset.xlsx [772kB] Visible to: Anyone File name: dataset.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet File size: 772kB