亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Raman Spectroscopy in the Analysis of Cellulose Nanomaterials

拉曼光谱 纳米材料 材料科学 纤维素 光谱学 纳米技术 化学工程 光学 物理 工程类 量子力学
作者
Umesh P. Agarwal
出处
期刊:Acs Symposium Series [American Chemical Society]
卷期号:: 75-90 被引量:33
标识
DOI:10.1021/bk-2017-1251.ch004
摘要

Cellulose nanomaterials (CNs) are new types of materials derived from celluloses and offer unique challenges and opportunities for Raman spectroscopic investigations. CNs can be classified into the categories of cellulose nanocrystals (CNCs, also known as cellulose whisker) and cellulose nanofibrils (CNFs, also known as nanofibrillated cellulose or NFCs) which when produced exist as aqueous suspensions at very low concentrations. Analysis of these suspensions by Raman spectroscopy is especially rewarding in that the CNs can be analyzed in the native hydrated state without special considerations. Several kinds of information can be derived from the spectra of the nanomaterials such as, estimation of crystallinity (in suspensions and freeze-dried states), measurement of accessibility of the nanomaterials by water, detection and quantitation of cellulose II polymorph in CNs, and effect of drying on the structure of CNs. Moreover, Raman spectra of the nanomaterials contain bands that are associated with chemical functionalities usually present on the surfaces of prepared/modified materials, for example, sulfate esters present on the surfaces of the sulfuric acid produced CNCs. In particular situations, these groups can be quantified by Raman spectroscopy. To accurately estimate crystallinity of CNs, a new method based on ~ 93 cm-1 Raman band is reported. In contrast to the existing crystallinity estimation methods, the 93 cm-1 method has the capability to distinguish between simply "organized" and "organized and crystalline" celluloses. The measurement of the latter fraction is necessary to accurately measure crystallinity. Finally, a few applications of Raman spectroscopy to CN-composites are considered and it is shown that useful information can be obtained from the Raman investigations.
最长约 10秒,即可获得该文献文件

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
5秒前
Shafey发布了新的文献求助30
7秒前
15秒前
FashionBoy应助Linson采纳,获得10
20秒前
冷傲的忆安完成签到,获得积分10
24秒前
天真的音完成签到,获得积分10
27秒前
29秒前
李春宇发布了新的文献求助10
34秒前
liuye0202完成签到,获得积分10
39秒前
54秒前
55秒前
开心柏柳发布了新的文献求助10
59秒前
典雅依玉完成签到,获得积分10
1分钟前
开心柏柳完成签到 ,获得积分10
1分钟前
超帅的幻枫完成签到,获得积分10
1分钟前
1分钟前
wanci应助Tt采纳,获得10
1分钟前
St完成签到,获得积分10
1分钟前
周亚平发布了新的文献求助10
1分钟前
Linson完成签到,获得积分10
1分钟前
迷人白桃完成签到,获得积分10
1分钟前
1分钟前
猫猫完成签到 ,获得积分10
1分钟前
1分钟前
Linson发布了新的文献求助10
1分钟前
Pami发布了新的文献求助10
1分钟前
zjx发布了新的文献求助10
2分钟前
2分钟前
科研通AI6.4应助狂野的海采纳,获得10
2分钟前
zjx完成签到,获得积分10
2分钟前
无聊的谷雪完成签到,获得积分10
2分钟前
2分钟前
紫风发布了新的文献求助20
2分钟前
辛勤的涵菡完成签到,获得积分10
2分钟前
Hiraeth完成签到 ,获得积分10
2分钟前
狂野的海发布了新的文献求助10
2分钟前
null应助wangyucode采纳,获得10
2分钟前
科研通AI6.2应助wangyucode采纳,获得10
2分钟前
汪鸡毛完成签到 ,获得积分0
2分钟前
读研小白完成签到,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7754374
求助须知:如何正确求助?哪些是违规求助? 9300981
关于积分的说明 20259849
捐赠科研通 7336800
什么是DOI,文献DOI怎么找? 3310808
关于科研通互助平台的介绍 2461994
邀请新用户注册赠送积分活动 2324032