Understanding the Impact of Microstructures on Reconstitution and Drying Kinetics of Lyophilized Cake Using X-ray Microscopy and Image-Based Simulation

微观结构 冷冻干燥 传质 扩散 动力学 曲折 材料科学 化学工程 润湿 显微镜 化学 色谱法 多孔性 复合材料 热力学 光学 物理 工程类 量子力学
作者
Yu Pu,Lisa Ma,Barton Dear,Aiden Zhu,Jianmin Li,Shawn Zhang,Weixian Shi
出处
期刊:Journal of Pharmaceutical Sciences [Elsevier]
卷期号:112 (6): 1625-1634 被引量:7
标识
DOI:10.1016/j.xphs.2023.01.002
摘要

The drying time of lyophilization and resultant cake microstructure are dependent on each other as water and solvent leave a lyophilized cake. The drying rate affects the size, distribution, and tortuosity of the pores as these macropores evolve during the primary drying phase, which in return impact the further removal of water and solvent from the cake throughout the drying period. This interplay results in a microstructure that determines the reconstitution time for a given formulation. The current study employs advanced X-ray Microscopy (XRM) coupled with mathematical models to correlate the microstructure with the drying kinetics and the reconstitution time. The normalized diffusion coefficients, derived from the reconstructed 3D microstructure of the cake, correlate with the solid content of the pre-lyophilization solution and agree with the mass transfer coefficients from a semi-empirical drying model built with lyophilization process data. Specifically, a solution with less solid content leads to a lyophilized cake with larger pores, thinner walls, and a greater pore volume compared to a solution with more solid content. Consequently, models from the microstructure and drying experiments reveals faster mass transfer independently. While the mass transfer models from the cake structure and the lyophilization process data accurately represents the drying kinetics, both models are inadequate to describe the reconstitution process due to the significant impact from formulation ingredients that alter the mass transfer mechanism via solubility and wettability. In summary, X-ray microscopy imaging and mathematical models are powerful tools that provide insights into the lyophilization process from a new angle.
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
刚刚
wei官人完成签到,获得积分10
刚刚
迷人的问蕊完成签到,获得积分10
1秒前
1秒前
礼拜一发布了新的文献求助10
2秒前
2秒前
Lucas应助nihaoaaaa采纳,获得10
2秒前
3秒前
3秒前
缓慢新梅发布了新的文献求助10
4秒前
seven应助jjjwwww采纳,获得30
4秒前
美满夕阳完成签到,获得积分10
4秒前
kaka发布了新的文献求助10
5秒前
5秒前
江海小舟发布了新的文献求助10
5秒前
befond发布了新的文献求助10
5秒前
amengptsd完成签到,获得积分10
6秒前
科研通AI6.1应助zhongjr_hz采纳,获得10
7秒前
7秒前
7秒前
上官若男应助翔君采纳,获得10
7秒前
香蕉觅云应助翔君采纳,获得80
7秒前
daihq3发布了新的文献求助10
7秒前
77发布了新的文献求助30
8秒前
smy发布了新的文献求助30
8秒前
量子星尘发布了新的文献求助10
9秒前
缓慢灵安发布了新的文献求助10
9秒前
Hannah17发布了新的文献求助10
9秒前
吴霜降发布了新的文献求助10
9秒前
材料生发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
英姑应助Total采纳,获得30
10秒前
11秒前
song发布了新的文献求助10
13秒前
13秒前
13秒前
14秒前
zy发布了新的文献求助10
14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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048562
求助须知:如何正确求助?哪些是违规求助? 7832701
关于积分的说明 16259909
捐赠科研通 5193835
什么是DOI,文献DOI怎么找? 2779102
邀请新用户注册赠送积分活动 1762405
关于科研通互助平台的介绍 1644611