Evidence map›Paper›PMID 38293579›Full record

ArticleData in brief2024

Dataset for facilitating the calculation of aspect ratio of fibrillated cellulose suspensions based on gel point data.

J L Sanchez-Salvador, M C Monte, C Negro, W Batchelor, G Garnier, A Blanco

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Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

J L Sanchez-SalvadorChemical Engineering and Materials Department, Universidad Complutense de Madrid, Avda. Complutense s/n, Madrid 28040 Spain.
M C MonteChemical Engineering and Materials Department, Universidad Complutense de Madrid, Avda. Complutense s/n, Madrid 28040 Spain.
C NegroChemical Engineering and Materials Department, Universidad Complutense de Madrid, Avda. Complutense s/n, Madrid 28040 Spain.
W BatchelorBioPRIA, Chemical Engineering Department, Monash University, Melbourne, VIC 3800, Australia.
G GarnierBioPRIA, Chemical Engineering Department, Monash University, Melbourne, VIC 3800, Australia.
A BlancoChemical Engineering and Materials Department, Universidad Complutense de Madrid, Avda. Complutense s/n, Madrid 28040 Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes data related to the research paper "Simplification of gel point characterization of cellulose nano and microfiber suspensions" [1]. The characterization of fibrillated celluloses that include cellulose nano and microfibrils (CMNFs) is a challenge for their production on an industrial scale, requiring easy techniques that control their quality and reproducibility. Gel point is a convenient parameter commonly used to estimate the aspect ratio (AR) of CMNFs. However, this estimation requires many sedimentation experiments, which are tedious and time consuming. The dataset includes all information related to the traditional experiments and to the simplified experiments for estimating gel point and AR based on only one sedimentation experiment. The full data set is useful to select the initial concentration to carry out the experimentation. This dataset also includes the information for the validation of the proposed simplified methodology and shows that the errors are lower than 7% for the gel point calculation and of 3% for the AR estimation. A larger databased of nanocellulose suspensions can be built with the reuse of this data to allow the estimation of nanocellulose properties in a future.

Indexed as

Aspect ratio determinationCellulose microfibersGel point methodologyNanocelluloseNanofibrillated cellulose

Identifiers

PMID38293579
PMCPMC10827384

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