Chapter 9. Dynamic Mechanical Analysis (DMA) Study of Cellulose Nanoparticle-based Advanced Materials

材料科学 纳米纤维素 动态力学分析 纤维素 纳米复合材料 生物高聚物 复合材料 聚合物 聚合物纳米复合材料 纳米颗粒 色散(光学) 细菌纤维素 化学工程 纳米技术 物理 光学 工程类
作者
Lesley Tsitsi Mukwada,Sifiso Innocent Magagula,Emmanuel Rotimi Sadiku,Jeremia Shale Sefadi,M. J. Mochane
出处
期刊:Royal Society of Chemistry eBooks [The Royal Society of Chemistry]
卷期号:: 187-209
标识
DOI:10.1039/9781788019545-00187
摘要

The required dynamic mechanical properties and/or viscoelastic behaviour of viable cellulose matrix can be considerably improved by using green nanofillers (GNFs), which have a high aspect ratio and high active surface area. Cellulose naturally exists as a linear biopolymer in the plant cells of wood and cotton. The growing interest in the study of cellulose-reinforced renewable green reinforcing nanofillers is due to their biodegradability, low density, high aspect ratio and excellent mechanical and viscoelastic properties. These optimal properties require a good nanoparticle dispersion in the polymeric matrix, and the extent of dispersion can be analysed by dynamic mechanical analysis (DMA). DMA is a characterization technique that gives insight into the bulk properties and thermal transitions of the material analysed. The chemical compatibility between green nanofiller and cellulose plays a key role in both the dispersion of nanoparticles in the matrix and the adhesion between these phases. By chemical or mechanical modification, cellulose nanofillers can be converted into cellulose nanofibres (CNFs), cellulose nanocrystals (CNCs) and bacterial nanocellulose (BNC), all of which possess outstanding dynamic mechanical properties compared with their individual constituents. This chapter comprehensively emphasizes the processing methods of sustainable polymer nanocomposites containing GNFs for potential industrial applications, in fields such as packaging, paper and paperboard, food industry, medical and hygiene products, paints, cosmetics and optical sensors. Various extraction methods and characterization techniques, including surface modification, compatibility and dispersion methods, are discussed in detail, coupled with their effects on the overall properties.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
1秒前
tt完成签到 ,获得积分10
1秒前
1秒前
2秒前
Husky发布了新的文献求助10
2秒前
2秒前
英姑应助尚可采纳,获得10
2秒前
junyang发布了新的文献求助10
3秒前
封妙芙发布了新的文献求助10
3秒前
张小圆应助shen采纳,获得10
4秒前
太阳完成签到,获得积分10
4秒前
4秒前
Hello应助TGM_Hedwig采纳,获得10
4秒前
上官若男应助小豆采纳,获得10
4秒前
韩豆乐发布了新的文献求助10
5秒前
liang完成签到,获得积分10
5秒前
5秒前
5秒前
rabpig应助Woshikeyandawang采纳,获得20
5秒前
香蕉觅云应助ertredffg采纳,获得10
6秒前
6秒前
wang完成签到,获得积分10
6秒前
小米应助毕长富采纳,获得10
6秒前
Mayily完成签到,获得积分10
7秒前
Mikey616发布了新的文献求助10
7秒前
miaxj完成签到,获得积分10
7秒前
紫韵发布了新的文献求助20
7秒前
核桃发布了新的文献求助10
7秒前
dwbh发布了新的文献求助10
7秒前
深情安青应助南国采纳,获得20
8秒前
情怀应助xuhang采纳,获得10
8秒前
8秒前
tuzi完成签到,获得积分10
8秒前
愉快的初南完成签到 ,获得积分10
9秒前
今后应助白开水采纳,获得10
9秒前
9秒前
mircale完成签到,获得积分10
10秒前
在水一方应助害羞的香寒采纳,获得10
10秒前
高分求助中
Cronologia da história de Macau 1600
Treatment response-adapted risk index model for survival prediction and adjuvant chemotherapy selection in nonmetastatic nasopharyngeal carcinoma 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Intentional optical interference with precision weapons (in Russian) Преднамеренные оптические помехи высокоточному оружию 1000
Atlas of Anatomy 5th original digital 2025的PDF高清电子版(非压缩版,大小约400-600兆,能更大就更好了) 1000
Current concept for improving treatment of prostate cancer based on combination of LH-RH agonists with other agents 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6189627
求助须知:如何正确求助?哪些是违规求助? 8017162
关于积分的说明 16679984
捐赠科研通 5286886
什么是DOI,文献DOI怎么找? 2817878
邀请新用户注册赠送积分活动 1797490
关于科研通互助平台的介绍 1661505