Nano-scale characterization of iron-carbohydrate complexes by cryogenic scanning transmission electron microscopy: Building the bridge to biorelevant characterization

透射电子显微镜 扫描透射电子显微镜 纳米颗粒 表征(材料科学) 纳米技术 材料科学 化学
作者
Reinaldo Digigow,M. Burgert,Marco Luechinger,Alla S. Sologubenko,Andrzej J. Rzepiela,Stephan Handschin,Amy E Barton Alston,Beat Flühmann,Erik Philipp
出处
期刊:Heliyon [Elsevier BV]
卷期号:10 (17): e36749-e36749 被引量:6
标识
DOI:10.1016/j.heliyon.2024.e36749
摘要

Iron deficiency and iron deficiency anemia pose significant health challenges worldwide. Iron carbohydrate nanoparticles administered intravenously are a mainstay of treatment to deliver elemental iron safely and effectively. However, despite decades of clinical use, a complete understanding of their physical structure and the significance for their behavior, particularly at the nano-bio interface, is still lacking, underscoring the need to employ more sophisticated characterization methods. Our study used cryogenic Scanning Transmission Electron Microscopy (cryo-STEM) to examine iron carbohydrate nanoparticle morphology. This method builds upon previous research, where direct visualization of the iron cores in these complexes was achieved using cryogenic Transmission Electron Microscopy (cryo-TEM). Our study confirms that the average size of the iron cores within these nanoparticles is approximately 2 nm across all iron-based products studied. Furthermore, our investigation revealed the existence of discernible cluster-like morphologies, not only for ferumoxytol, as previously reported, but also within all the examined iron-carbohydrate products. The application of cryo-STEM for the analyses of product morphologies provides high-contrast and high-resolution images of the nanoparticles, and facilitates the characterization at liquid nitrogen temperature, thereby preserving the structural integrity of these complex samples. The findings from this study offer valuable insights into the physical structure of iron-carbohydrate nanoparticles, a crucial step towards unraveling the intricate relationship between the structure and function of this widely used drug class in treating iron deficiency. Additionally, we developed and utilized the self-supervised machine learning workflow for the image analysis of iron-carbohydrate complexes, which might be further expanded into a useful characterization tool for comparability studies.
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
科研助手发布了新的文献求助10
1秒前
淡定沛珊发布了新的文献求助10
1秒前
1秒前
2秒前
蓝色麻辣烫完成签到 ,获得积分10
2秒前
清柠发布了新的文献求助10
3秒前
3秒前
晴天完成签到,获得积分10
3秒前
zzc完成签到,获得积分10
3秒前
4秒前
河广发布了新的文献求助10
4秒前
Swhite发布了新的文献求助10
4秒前
活泼的安南应助lcsw采纳,获得10
4秒前
5秒前
赘婿应助jls采纳,获得10
6秒前
6秒前
香蕉觅云应助禾沐采纳,获得10
9秒前
超帅绝施发布了新的文献求助10
9秒前
123发布了新的文献求助10
9秒前
香蕉觅云应助机智凝海采纳,获得10
10秒前
10秒前
11秒前
欢呼梦安应助敬之采纳,获得10
11秒前
11秒前
大模型应助冷酷的河马采纳,获得10
12秒前
科研通AI6.4应助小王啵啵采纳,获得10
12秒前
宸氚完成签到,获得积分10
12秒前
12秒前
13秒前
14秒前
14秒前
mmy发布了新的文献求助30
14秒前
ZZZ完成签到,获得积分10
14秒前
14秒前
科研通AI6.4应助追寻沛萍采纳,获得10
14秒前
辛勤面包完成签到,获得积分10
15秒前
xyl发布了新的文献求助10
15秒前
石梓硕发布了新的文献求助10
15秒前
meanie完成签到,获得积分10
16秒前
顺顺完成签到,获得积分10
16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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 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 7696441
求助须知:如何正确求助?哪些是违规求助? 9256571
关于积分的说明 20003467
捐赠科研通 7270895
什么是DOI,文献DOI怎么找? 3292799
关于科研通互助平台的介绍 2448373
邀请新用户注册赠送积分活动 2298467