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Research data supporting “Anomalous Diffusion-Assisted Brightness in White Cellulose Nanofibril Membranes”


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Authors

Toivonen, Matti S 
Iacucci, Gianni 
Lovikka, Ville 
Rojas, Orlando J 

Description

Original or unprocessed data is provided in support of the article “Anomalous Diffusion-Assisted Brightness in White Cellulose Nanofibril Membranes”. The article was accepted for publication in 2018 in the journal "Advanced Materials". Electronic Supporting Information is available from the publisher. The data is structured into folders, each correlating to a specific data type presented in the published article.

In the raw data, the transparent membranes are referred to as “N1”, the semi-transparent ones are referred to as “N2” and the white one as “D2”. This prefix is followed by a letter to indicate a specific sample in the series (see folder 1 for more details).

Folder 1: Photographs of the samples and recordings of their thicknesses as measured with the profilometer. This folder also includes the original files to produce the schematics in Figure 1a and Figure 4c.

Folder 2: this sets of folders concerns the optical measurements performed on the samples.

Folder 3: complete set of Scanning Electron Microscope (SEM) images.

Folder 4: files used to analyse the speckle patterns.

Folder 5: data regarding the characterisation of the cellulose nanofibers. This includes the Atomic Force Microscopy (AFM) raw data and the nitrogen physisorption results.

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Software / Usage instructions

standard software to open the images, povray, matlab, python 3, Gwyddion for the AFM data, illustrator.

Keywords

cellulose, nanofibrils, scattering, whiteness, anomalous diffusion, multiple light scattering, mean free path, speckle, photonics, materials science

Publisher

Sponsorship
Biotechnology and Biological Sciences Research Council (BB/K014617/1)
EPSRC (1525292)
This work was supported by the BBSRC David Phillips fellowship [BB/K014617/1], the ERC-2014-STG H2020 639088, the Academy of Finland Centres of Excellence Programme (2014-2019), and the Academy of Finland project 264677. M.T. gratefully acknowledges the Emil Aaltonen Foundation, the Tiina and Antti Herlin Foundation and the Jenny and Antti Wihuri Foundation for their financial support.
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