Cellulose crystallinity index: measurement techniques and their impact on interpreting cellulase performance

结晶度 纤维素 纤维素酶 无定形固体 半纤维素 木质素 材料科学 化学工程 化学 结晶学 有机化学 复合材料 工程类
作者
Sunkyu Park,John O. Baker,Michael E. Himmel,Philip A. Parilla,David K. Johnson
出处
期刊:Biotechnology for Biofuels [Springer Science+Business Media]
卷期号:3 (1) 被引量:3015
标识
DOI:10.1186/1754-6834-3-10
摘要

Abstract Although measurements of crystallinity index (CI) have a long history, it has been found that CI varies significantly depending on the choice of measurement method. In this study, four different techniques incorporating X-ray diffraction and solid-state 13 C nuclear magnetic resonance (NMR) were compared using eight different cellulose preparations. We found that the simplest method, which is also the most widely used, and which involves measurement of just two heights in the X-ray diffractogram, produced significantly higher crystallinity values than did the other methods. Data in the literature for the cellulose preparation used (Avicel PH-101) support this observation. We believe that the alternative X-ray diffraction (XRD) and NMR methods presented here, which consider the contributions from amorphous and crystalline cellulose to the entire XRD and NMR spectra, provide a more accurate measure of the crystallinity of cellulose. Although celluloses having a high amorphous content are usually more easily digested by enzymes, it is unclear, based on studies published in the literature, whether CI actually provides a clear indication of the digestibility of a cellulose sample. Cellulose accessibility should be affected by crystallinity, but is also likely to be affected by several other parameters, such as lignin/hemicellulose contents and distribution, porosity, and particle size. Given the methodological dependency of cellulose CI values and the complex nature of cellulase interactions with amorphous and crystalline celluloses, we caution against trying to correlate relatively small changes in CI with changes in cellulose digestibility. In addition, the prediction of cellulase performance based on low levels of cellulose conversion may not include sufficient digestion of the crystalline component to be meaningful.
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
第五轻柔完成签到,获得积分10
刚刚
充电宝应助啊啊啊啊采纳,获得10
刚刚
刚刚
刚刚
独特的兰完成签到,获得积分10
1秒前
NN发布了新的文献求助10
1秒前
2秒前
慕青应助Syening采纳,获得10
2秒前
lx应助Tao采纳,获得10
2秒前
科研通AI6.2应助沙糖桔采纳,获得10
4秒前
zhzh发布了新的文献求助10
4秒前
4秒前
科研通AI6.3应助慢慢采纳,获得10
5秒前
hamier发布了新的文献求助10
6秒前
6秒前
aaaa发布了新的文献求助10
8秒前
8秒前
9秒前
婷小胖完成签到,获得积分10
9秒前
9秒前
小蘑菇应助xxy采纳,获得10
10秒前
10秒前
sugar发布了新的文献求助10
10秒前
zerofear发布了新的文献求助10
12秒前
12秒前
wanzi7发布了新的文献求助10
13秒前
13秒前
13秒前
思源应助沈梦婷采纳,获得10
13秒前
13秒前
科研民工发布了新的文献求助10
14秒前
木头人发布了新的文献求助10
14秒前
15秒前
reece完成签到 ,获得积分10
15秒前
包子牛奶完成签到,获得积分10
15秒前
hamier完成签到,获得积分10
15秒前
钢铁之心发布了新的文献求助10
15秒前
明天发布了新的文献求助10
16秒前
ttiod完成签到,获得积分10
16秒前
科研通AI6.2应助zhzh采纳,获得10
17秒前
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
日本現代怪異事典 副読本 700
Concise Introduction to Heritage Studies 650
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 7381889
求助须知:如何正确求助?哪些是违规求助? 8989122
关于积分的说明 19120922
捐赠科研通 7021005
什么是DOI,文献DOI怎么找? 3227065
关于科研通互助平台的介绍 2390192
邀请新用户注册赠送积分活动 2207946