Comparison of analytical-flow, micro-flow and nano-flow LC-MS/MS for sub-proteome analysis

化学 色谱法 流量(数学) 质谱法 蛋白质组 分析化学(期刊) 生物化学 机械 物理
作者
Zhen Long,Zixi Zhao,Xingliang Fan,Xichun Luo
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier]
卷期号:252: 116484-116484
标识
DOI:10.1016/j.jpba.2024.116484
摘要

The accurate and sensitive analysis of sub-proteomic samples, such as host cell proteins (HCPs) in recombinant products and stem cells in medical devices, is crucial for ensuring product safety and efficacy in the biopharmaceutical industry. However, current analytical techniques, such as conventional analytical-flow LC-MS/MS, face limitations in sensitivity due to the low concentrations of target proteins and the complexity of the sample matrix. In this study, a highly sensitive and repeatable micro-flow LC-MS/MS strategy was developed by replacing analytical-flow tubing with micro-flow tubing on an existing analytical-flow LC-MS system for sub-proteomic sample analysis. Method optimization and evaluation were first conducted with monoclonal antibody (mAb) digestion, focusing on enhancing sensitivity and repeatability. Over 8 days, relative standard deviations (RSDs) for retention time and mass area were less than 5 % and 10 %, respectively. Sensitivity improved by 2.91-4.14 times compared to the analytical-flow LC-MS/MS method. After confirming the reliability of the method, the micro-flow LC-MS/MS method was compared to the nano-flow LC-MS/MS method and the analytical-flow LC-MS/MS method in sub-proteomic sample analysis. For HCPs, the micro-flow LC-MS/MS method demonstrated superior qualitative and much better reproducibility than the nano-flow LC-MS/MS method, with more than 98 % of proteins showing intensity RSD values below 20 %. In the analysis of mesenchymal stem cells (MSCs), the micro-flow method demonstrated good reproducibility and better sensitivity than the analytical-flow method. Taking the analysis of the 20
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
路奇k发布了新的文献求助10
刚刚
2秒前
2秒前
2秒前
2秒前
lalala应助科研通管家采纳,获得20
2秒前
ding应助科研通管家采纳,获得10
2秒前
英姑应助bierbia采纳,获得10
3秒前
7秒前
小蘑菇应助小汤圆采纳,获得10
9秒前
10秒前
11秒前
平常的伊发布了新的文献求助10
14秒前
14秒前
pangboo发布了新的文献求助10
18秒前
阿德利企鹅完成签到 ,获得积分10
19秒前
科研鲁宾孙完成签到,获得积分20
21秒前
athena关注了科研通微信公众号
21秒前
ning完成签到,获得积分10
22秒前
24秒前
26秒前
27秒前
小蘑菇应助柳易槐采纳,获得10
28秒前
Johnny0912完成签到,获得积分10
29秒前
赘婿应助玩家采纳,获得10
30秒前
30秒前
31秒前
31秒前
852应助ira采纳,获得10
34秒前
chitin chu完成签到,获得积分10
34秒前
34秒前
多多发布了新的文献求助10
35秒前
36秒前
38秒前
Akim应助诸岩采纳,获得10
38秒前
叶琳完成签到 ,获得积分10
39秒前
Bake完成签到,获得积分10
39秒前
freya发布了新的文献求助10
40秒前
41秒前
科研通AI2S应助111采纳,获得10
41秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136744
求助须知:如何正确求助?哪些是违规求助? 2787759
关于积分的说明 7783069
捐赠科研通 2443822
什么是DOI,文献DOI怎么找? 1299439
科研通“疑难数据库(出版商)”最低求助积分说明 625457
版权声明 600954