Sanchez-Salvador J L, Monte M C, Negro C, Batchelor W, Garnier G, Blanco A
Chemical Engineering and Materials Department, Universidad Complutense de Madrid, Avda. Complutense s/n, Madrid 28040 Spain.
BioPRIA, Chemical Engineering Department, Monash University, Melbourne, VIC 3800, Australia.
Data Brief. 2023 Dec 18;52:109944. doi: 10.1016/j.dib.2023.109944. eCollection 2024 Feb.
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.
本文介绍了与研究论文《纤维素纳米和微纤维悬浮液凝胶点表征的简化》[1]相关的数据。对包括纤维素纳米纤维和微纤维(CMNFs)在内的原纤化纤维素进行表征,对于其工业规模生产而言是一项挑战,需要简便的技术来控制其质量和可重复性。凝胶点是常用于估算CMNFs长径比(AR)的一个方便参数。然而,这种估算需要进行许多沉降实验,既繁琐又耗时。该数据集包含了与传统实验以及基于仅一次沉降实验估算凝胶点和长径比的简化实验相关的所有信息。完整数据集有助于选择进行实验的初始浓度。该数据集还包含了用于验证所提出简化方法的信息,结果表明凝胶点计算的误差低于7%,长径比估算的误差为3%。通过重新利用这些数据,可以构建一个更大的纳米纤维素悬浮液数据库,以便未来能够估算纳米纤维素的性能。