Dataset for the simplification of gel point in fibrillated celluloses

Published: 5 July 2023| Version 1 | DOI: 10.17632/s79mrb24g3.1
Contributors:
Jose Luis Sanchez-Salvador, M. Concepcion Monte, Carlos Negro, Warren Batchelor, Gil Garnier, Angeles Blanco

Description

This data include the MATLAB Script developed to calculate the gel point using the CSAPS function of MATLAB which requires the optimization of the “p” parameter. In addition, it is included the raw data used to develop the simplification of the gel point methodology. 25 different raw materials have been used for this purpose using at least 4 sedimentation experiments at different Co. In addition, it is included an example to calculate the Co, opt using the minimum upper experimental error and the fits in the CSAPS function. The use of seven fits using the Smooth spline of CSAPS in MATLAB is calculated for 25 fibrillated celluloses. The error between the Øg and the estimated Øg in the Co in CSAPS is calculated, selecting which is the best one and the correlations between Øg and Co. AR calculated for the 25 fibrillated celluloses is calculated using the estimation in the Co, opt and the best CSAPS fit. Finally, it is included the data of the sedimentation experiments for the validation of the optimal interval of Co.

Files

Steps to reproduce

Related research article: J.L. Sanchez-Salvador, M.C. Monte, C. Negro, W. Batchelor, G. Garnier, A. Blanco, Simplification of gel point characterization of cellulose nano and microfiber suspensions, Cellulose (2021) 28:6995–7006. https://doi.org/10.1007/s10570-021-04003-5.

Institutions

Monash University, Universidad Complutense de Madrid

Categories

Nanomaterials, Cellulose, Nanofibers

Funding

Ministerio de Ciencia e Innovación

VALORCON PDC2021-120964-C21

Ministerio de Economía y Competitividad

CTQ2017-85654-C2-2-R

Comunidad de Madrid

RETOPROSOST2 S2018/EMT-4459

Industry Transformation Research Hub

IH130100016

Licence