重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Correlation between the powder characteristics and particle morphology of microcrystalline cellulose (MCC) and its tablet application performance

微晶纤维素 材料科学 微晶 粒径 形态学(生物学) 粒子(生态学) 色谱法 化学工程 化学 结晶学 纤维素 海洋学 地质学 工程类 古生物学
作者
Jinbao Li,Zhi Wang,Huijuan Xiu,Xin Zhao,Feiyan Ma,Lihua Liu,Caifu Yi,Meiyun Zhang,Evguenii Kozliak,Jimmy Yun
出处
期刊:Powder Technology [Elsevier]
卷期号:399: 117194-117194 被引量:16
标识
DOI:10.1016/j.powtec.2022.117194
摘要

A quantitative approach is described to finding the correlation between the MCC application performance in tablets, which is key to pharmaceutical applications, and two kinds of powder features, 1) physical properties and 2) morphology, using multiple stepwise regression analysis to eliminate the statistically insignificant factors. The powder compressibility index was shown to be the primary factor affecting the tablet performance. However, no single powder physical property correlated with tablet performance in samples of varied particle shape. By contrast, a strong correlation was observed between the fractal dimension/shape factors and the main parameters affecting the tablet application performance. Circularity, the key shape factor, was shown to be the main indicator of tablet performance in drug delivery applications. The closer the particles to spherical shape, the shorter their disintegration time and greater the dissolution rate. These morphological effects were demonstrated across a wide range of particle sizes and shapes. • MCC particle morphology quantitatively correlates tablet application performance. • MCC particle fractal dimension affects the tablet compressibility and dissolution. • The larger the fractal dimension, the greater the tablet hardness. • The circularity of MCC particles affects the powder fluidity. • The greater the circularity, the better the drug dissolution rate.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
无情心情发布了新的文献求助10
刚刚
kkk完成签到,获得积分10
刚刚
缓慢怜翠发布了新的文献求助10
1秒前
卖艺的读书人完成签到 ,获得积分10
1秒前
krebs应助Sicily采纳,获得20
1秒前
1秒前
香蕉觅云应助胡罗卜采纳,获得10
1秒前
2秒前
2秒前
小马甲应助小樊同学采纳,获得10
2秒前
2秒前
淡定翠容完成签到,获得积分10
2秒前
熬猪油完成签到,获得积分20
3秒前
汤小议耶完成签到,获得积分10
3秒前
xhsz1111发布了新的文献求助10
3秒前
3秒前
一支得卦发布了新的文献求助10
3秒前
hq6045x发布了新的文献求助10
4秒前
顺利葵阴发布了新的文献求助10
4秒前
五五完成签到,获得积分10
4秒前
白藏主发布了新的文献求助10
4秒前
5秒前
大模型应助倚栏听风采纳,获得10
5秒前
CipherSage应助Gaojin锦采纳,获得10
5秒前
bkagyin应助研究生采纳,获得10
5秒前
5秒前
小豆包发布了新的文献求助10
5秒前
麦麦脆汁猪完成签到 ,获得积分10
5秒前
AbleTF完成签到,获得积分10
6秒前
6秒前
6秒前
ents完成签到,获得积分10
7秒前
含糊的紫文完成签到,获得积分10
7秒前
7秒前
7秒前
Jasper应助FN_09采纳,获得10
7秒前
7秒前
悲哀藏在现实中完成签到,获得积分10
8秒前
qian发布了新的文献求助30
8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
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5466870
求助须知:如何正确求助?哪些是违规求助? 4570586
关于积分的说明 14326244
捐赠科研通 4497151
什么是DOI,文献DOI怎么找? 2463752
邀请新用户注册赠送积分活动 1452682
关于科研通互助平台的介绍 1427605