生物制药
质谱法
色谱法
样品(材料)
复矩阵
样品制备
基质(化学分析)
工作流程
过程分析技术
高分辨率
化学
生物分析
分辨率(逻辑)
工艺工程
分析化学(期刊)
过程(计算)
计算机科学
材料科学
分析技术
生物系统
过程开发
液相色谱-质谱法
溶解
微流控
单克隆抗体
数据挖掘
纳米技术
飞行时间质谱
粒子(生态学)
自动化方法
分析物
作者
Jarrod Laro,Rodell C. Barrientos,Eli J. Larson,Erik L. Regalado,Emmanuel Appiah‐Amponsah,Chang Liu,Joseph R. Gouker,Devin M. Makey,Hang Hu,Ophelia Ukaegbu
标识
DOI:10.1021/acs.analchem.6c03005
摘要
Accelerating the discovery and development of life-saving therapeutics and vaccines requires a commensurate level of analytical innovations, especially high-throughput (HT) methodologies for simultaneous multicomponent analyses traditionally used in fast-paced laboratory settings. HT screening is a critical step to enable lead candidate design, selection, and formulation at aggressive timelines. Current methods used for this purpose, such as liquid chromatography-mass spectrometry (LC-MS)-based approaches, are intrinsically low-throughput. Such assays are less meaningful in settings where processing thousands of samples is required to guide critical decisions quickly. Acoustic droplet ejection-open-port interface-mass spectrometry (ADE-OPI-MS) is a cutting-edge technology that eliminates the need for LC by introducing nanoliter-scale samples to an MS via acoustic ejection at speeds of <1 s per sample while minimizing matrix effects and data variability compared to more established HT sample introduction methods. Previously, ADE-OPI-MS has been demonstrated for purified protein standards in simple matrices, but its use on proteins within complex matrices remains underexplored. Biopharmaceutical samples often contain salts, buffers, and other components that make sample detection challenging without some form of sample cleanup. Herein, an integrated workflow combining sample preparation, detection, and quantification for ADE-OPI-MS is introduced, streamlining relative quantification of products spiked into complex matrices. Using this analytical framework, effective quantification of myoglobin, virus-like particle L1 protein, and monoclonal antibodies in complex cell lysate and drug process matrices is straightforward while also minimizing manual labor with automatable sample preparation capable of analyzing a full 384-well plate in under 12.5 min.
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