Low-field NMR Works as a Rapid, Automatic, Non-Invasive and Wide-Scale Coverage Technique for Aggregates Indication in Biomacromolecule Development

比例(比率) 领域(数学) 化学 计算机科学 材料科学 纳米技术 数学 物理 量子力学 纯数学
作者
Yi­hui Zhai,Tingting Wang,Quanmin Chen,Jeremy Guo
出处
期刊:Journal of Pharmaceutical Sciences [Elsevier BV]
卷期号:113 (10): 3034-3044
标识
DOI:10.1016/j.xphs.2024.07.021
摘要

Protein aggregation is challenging for biopharmaceutical drug, because it affects the stability of protein formulations in real-time. However, current techniques for protein aggregate indication meet a number of limitations including limited aggregate size range, complex pre-treatments and lack of chromatographic approaches. Herein, a rapid, automatic, non-invasive and wide-scale coverage technique for aggregates indication is developed to overcome these challenges. Firstly, the response of low-field nuclear magnetic resonance (LF-NMR) to the aggregates is explored by making a comparison with certain established techniques. LF-NMR achieves a high sensitivity of water proton transverse relaxation rate (R2 of H2O, hereinafter referred as R2(H2O)) to protein aggregates from nanometer to micrometer. Then, the quantitative relationship between R2(H2O) and aggregates is investigated furtherly. R2(H2O) could serve as an all-size coverage protein aggregates indicator during development. As a non-invasive method, LF-NMR does not need any sample handling. It takes only 44 s for one test, and saves a lot of manpower, materials and costs. Compared with other established analytical techniques, the technique developed here could be a powerful tool for a rapid, automatic, non-invasive and wide-scale coverage technique for aggregates indication in biomacromolecule development.Graphical abstract
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
七月完成签到,获得积分10
刚刚
awdasd发布了新的文献求助10
刚刚
顾安完成签到 ,获得积分10
1秒前
wind完成签到,获得积分10
1秒前
阳光冰颜完成签到 ,获得积分10
2秒前
cc发布了新的文献求助10
2秒前
宇少爱学习哟完成签到,获得积分10
2秒前
静静发布了新的文献求助10
2秒前
fy207完成签到,获得积分10
3秒前
佩楠完成签到,获得积分20
3秒前
3秒前
Tricia应助yuchen采纳,获得10
3秒前
4秒前
情怀应助闲散人采纳,获得10
4秒前
wind发布了新的文献求助10
4秒前
H2CO3完成签到,获得积分10
4秒前
5秒前
安好发布了新的文献求助10
5秒前
kingripple完成签到,获得积分10
5秒前
hail完成签到,获得积分10
5秒前
砥砺完成签到,获得积分10
7秒前
CipherSage应助笑点低不言采纳,获得10
7秒前
8秒前
ddffgz发布了新的文献求助10
8秒前
Alfred_Y发布了新的文献求助10
8秒前
小蘑菇应助科研通管家采纳,获得10
9秒前
木辛艺发布了新的文献求助10
9秒前
所所应助科研通管家采纳,获得10
9秒前
情怀应助科研通管家采纳,获得10
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
9秒前
好好学习完成签到,获得积分10
9秒前
小马甲应助科研通管家采纳,获得10
9秒前
充电宝应助科研通管家采纳,获得10
9秒前
李健应助科研通管家采纳,获得10
9秒前
共享精神应助科研通管家采纳,获得10
10秒前
Jasper应助科研通管家采纳,获得10
10秒前
汉堡包应助科研通管家采纳,获得10
10秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A new approach to the extrapolation of accelerated life test data 500
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3953650
求助须知:如何正确求助?哪些是违规求助? 3499409
关于积分的说明 11095552
捐赠科研通 3229987
什么是DOI,文献DOI怎么找? 1785841
邀请新用户注册赠送积分活动 869592
科研通“疑难数据库(出版商)”最低求助积分说明 801479