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Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications
Giant, Volume: 19, Start page: 100299
Swansea University Author: Mokarram Hossain
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©2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license.
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DOI (Published version): 10.1016/j.giant.2024.100299
Abstract
In the era of smart and sustainable technology driven by naturally occurring materials, various nanocellulose-based materials play a crucial role. Shape memory behaviour and self-healing capabilities of nanocelluloses are emerging as focal points in numerous research domains. Nanocellulose and its d...
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ISSN: | 2666-5425 |
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2024
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v2 66595 2024-06-05 Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications 140f4aa5c5ec18ec173c8542a7fddafd 0000-0002-4616-1104 Mokarram Hossain Mokarram Hossain true false 2024-06-05 ACEM In the era of smart and sustainable technology driven by naturally occurring materials, various nanocellulose-based materials play a crucial role. Shape memory behaviour and self-healing capabilities of nanocelluloses are emerging as focal points in numerous research domains. Nanocellulose and its derivatives such as cellulose nanocrystals (CNC) and cellulose nanofibers (CNF), are currently in the limelight due to their excellent shape-memory and self-healing properties, making them suitable for multifunctional devices. In this regard, CNF, as a cutting-edge material, has spurred researchers to explore its potential in developing contemporary multifunctional and personalized health devices. Therefore, a timely and comprehensive review is essential to gain deep insights into the effectiveness of shape-memory and self-healing capabilities of CNF for multifunctional devices. Herein, we first provide a succinct introduction to all nanocellulose materials. This review also depicts recent advancements and breakthroughs in the large and effective synthesis of CNF-based hybrid materials. Next, focusing on their self-healing and shape-memory performance, this review sheds new light on the advanced applications of CNF materials. Finally, perspectives on the current challenges and opportunities in this field are summarized for future researchers to gain an in-depth understanding of "CNF-based smart and sustainable materials." Journal Article Giant 19 100299 Elsevier BV 2666-5425 Cellulose nanofibers; Nanocellulose; Sustainable manufacturing; Shape-memory behaviour; Self-healing 1 8 2024 2024-08-01 10.1016/j.giant.2024.100299 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This work was not supported by any funding. 2024-07-24T12:56:58.8735021 2024-06-05T09:26:31.9622031 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Muhammad Yasir Khalid 0000-0002-4462-7951 1 Zia Ullah Arif 2 Ans Al Rashid 3 Syed Muhammad Zubair Shah Bukhari 4 Mokarram Hossain 0000-0002-4616-1104 5 Muammer Koç 6 66595__30962__d13842b53ebb4a02a33148459ac2ab1d.pdf 66595.VoR.pdf 2024-07-24T12:55:23.1929035 Output 14707757 application/pdf Version of Record true ©2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
spellingShingle |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications Mokarram Hossain |
title_short |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
title_full |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
title_fullStr |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
title_full_unstemmed |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
title_sort |
Shape-memory and self-healing properties of sustainable cellulosic nanofibers-based hybrid materials for novel applications |
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140f4aa5c5ec18ec173c8542a7fddafd |
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140f4aa5c5ec18ec173c8542a7fddafd_***_Mokarram Hossain |
author |
Mokarram Hossain |
author2 |
Muhammad Yasir Khalid Zia Ullah Arif Ans Al Rashid Syed Muhammad Zubair Shah Bukhari Mokarram Hossain Muammer Koç |
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Giant |
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10.1016/j.giant.2024.100299 |
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description |
In the era of smart and sustainable technology driven by naturally occurring materials, various nanocellulose-based materials play a crucial role. Shape memory behaviour and self-healing capabilities of nanocelluloses are emerging as focal points in numerous research domains. Nanocellulose and its derivatives such as cellulose nanocrystals (CNC) and cellulose nanofibers (CNF), are currently in the limelight due to their excellent shape-memory and self-healing properties, making them suitable for multifunctional devices. In this regard, CNF, as a cutting-edge material, has spurred researchers to explore its potential in developing contemporary multifunctional and personalized health devices. Therefore, a timely and comprehensive review is essential to gain deep insights into the effectiveness of shape-memory and self-healing capabilities of CNF for multifunctional devices. Herein, we first provide a succinct introduction to all nanocellulose materials. This review also depicts recent advancements and breakthroughs in the large and effective synthesis of CNF-based hybrid materials. Next, focusing on their self-healing and shape-memory performance, this review sheds new light on the advanced applications of CNF materials. Finally, perspectives on the current challenges and opportunities in this field are summarized for future researchers to gain an in-depth understanding of "CNF-based smart and sustainable materials." |
published_date |
2024-08-01T12:56:58Z |
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11.037056 |