Nanocellulose Functional Materials for Applications in Intelligent Winter Sports: Recent Progress and Prospects

仿生学 计算机科学 纳米技术 系统工程 材料科学 人工智能 工程类
作者
Yueting Wu,Yanlong Li
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:17 (33): 46490-46504 被引量:1
标识
DOI:10.1021/acsami.5c10432
摘要

The dual goals of digital transformation and carbon neutrality have driven the interest in high-performance functional materials and environmental sustainability associated with their applications. As a new type of natural material, nanocellulose (NC) has a unique nanomorphology, high crystallinity, excellent mechanical properties, and a high specific surface area that enables the realization of fine nano/microscale structures. Therefore, NC is expected to replace traditional petrochemical sources in the production of various high-value-added functional materials, especially those that have applications in intelligent winter sports. Intelligent winter sports is the intelligent transformation and upgrading of winter sports by using modern information technology. Among them, the combination of artificial intelligence and functional materials has brought revolutionary changes in the field of winter sports health monitoring, monitoring, and sports performance improvement. However, to date, applications of NC in intelligent winter sports have not been extensively researched. Therefore, this report comprehensively summarizes the applications of NC in intelligent winter sports. First, the different forms of NC involved in applications in intelligent winter sports and the emerging strategies for the synthesis of functional materials are introduced. Second, the performance advantages of NC in intelligent winter sports are examined. Specifically, its practical and potential applications in human thermal management, detection of stimulants, action monitoring, and motion bioelectrical signal monitoring were considered. Finally, constructive views on the development of NC functional materials and their challenges and prospects in applications in intelligent winter sports are proposed.
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