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Structural reconstruction strategies for the design of cellulose nanomaterials and aligned wood cellulose-based functional materials - A review.
Zhu, Zhaodong; Fu, Shiyu; Lavoine, Nathalie; Lucia, Lucian A.
Afiliação
  • Zhu Z; State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Wushan Road, Tianhe District, Guangzhou, 510640, People's Republic of China.
  • Fu S; State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Wushan Road, Tianhe District, Guangzhou, 510640, People's Republic of China. Electronic address: shyfu@scut.edu.cn.
  • Lavoine N; Department of Forest Biomaterials, College of Natural Resources, North Carolina State University, Raleigh, NC 27695, United States.
  • Lucia LA; Department of Forest Biomaterials, College of Natural Resources, North Carolina State University, Raleigh, NC 27695, United States; Department of Chemistry, College of Sciences, North Carolina State University, Raleigh, NC 27695, United States.
Carbohydr Polym ; 247: 116722, 2020 Nov 01.
Article em En | MEDLINE | ID: mdl-32829846
ABSTRACT
Cellulose is the world's most abundant natural polymer that displays highly desirable characteristics such as biodegradability and sustainability. Its derivatives and associated structured functional materials have potential in various fields such as surface engineering, energy and storage, water treatment, flexible electronics, construction, physical protection, and optical components. All of these applications demand nanocellulose-based micro/nano structural reconstruction for high performance. Recently, functional materials based on aligned nanocellulose in wood obtained through a top-down strategy have highlighted the importance of structure reconstruction strategies on functional designs. In this review, various cellulose or wood micro/nano materials designed by structure reconstruction were examined to highlight the importance of structure reconstruction strategies for various functionalities.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article