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Cellulose-Based Scattering Enhancers for Light Management Applications.

Accepted version
Peer-reviewed

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Type

Article

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Authors

Yang, Han 
Jacucci, Gianni 
Schertel, Lukas 

Abstract

To manipulate the light-matter interaction effectively, we often rely on high refractive index inorganic nanoparticles. Such materials are contained essentially in everything that looks colorful or white: from paints to coatings but also in processed food, toothpaste, and cosmetic products. As these nanoparticles can accumulate in the human body and environment, there is a strong need to replace them with more biocompatible counterparts. In this work, we introduce various types of cellulose-based microparticles (CMPs) of four sizes with optimized dimensions for efficient light scattering that can replace traditional inorganic particles. We demonstrate that the produced materials can be exploited as highly efficient scattering enhancers, with designed optical performance. Finally, exploiting these cellulose colloids, we fabricated scattering materials and high transmittance/haze films with record performances with respect to the state-of-the-art values. The renewable and biocompatible nature of our systems, combined with their excellent optical properties, allows for the use of our cellulose-based particles in paints, LEDs, and solar cell devices and especially in applications where the biocompatibility of the component is essential, such as in food and pharmaceutical coatings.

Description

Keywords

cellulose particles, light transport, optical haze, scattering, transparency, whiteness, Humans, Cellulose, Nanoparticles, Refractometry

Journal Title

ACS Nano

Conference Name

Journal ISSN

1936-0851
1936-086X

Volume Title

Publisher

American Chemical Society (ACS)
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/K014617/1)
Leverhulme Trust (PLP-2019-271)
European Research Council (639088)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (793643)
European Commission Horizon 2020 (H2020) ERC (963872)
This work was supported by the BBSRC David Phillips fellowship [BB/K014617/1] and the Horizon 2020 Framework Programme Marie Curie Individual Fellowships (793643-MFCPF), ERC SeSaME ERC‐2014‐STG H2020 639088, the PoC 963872, Cellunan, and the Isaac Newton Trust (SNSF3) and the Philip Leverhulme Prize (PLP-2019-271).
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