Automated Hydrophobic Interaction Chromatography Screening Combined with In Silico Optimization as a Framework for Nondenaturing Analysis and Purification of Biopharmaceuticals.
Rodell C BarrientosGioacchino Luca LosaccoMohammadmehdi AziziHeather WangAnh Nguyet NguyenVladimir ShchurikAndrew SinghDouglas D RichardsonIan MangionDavy GuillarmeErik L RegaladoImad A Haidar AhmadPublished in: Analytical chemistry (2022)
The mounting complexity of new modalities in the biopharmaceutical industry entails a commensurate level of analytical innovations to enable the rapid discovery and development of novel therapeutics and vaccines. Hydrophobic interaction chromatography (HIC) has become one of the widely preferred separation techniques for the analysis and purification of biopharmaceuticals under nondenaturing conditions. Inarguably, HIC method development remains very challenging and labor-intensive owing to the numerous factors that are typically optimized by a "hit-or-miss" strategy (e.g., the nature of the salt, stationary phase chemistry, temperature, mobile phase additive, and ionic strength). Herein, we introduce a new HIC method development framework composed of a fully automated multicolumn and multieluent platform coupled with in silico multifactorial simulation and integrated fraction collection for streamlined method screening, optimization, and analytical-scale purification of biopharmaceutical targets. The power and versatility of this workflow are showcased by a wide range of applications including trivial proteins, monoclonal antibodies (mAbs), antibody-drug conjugates (ADCs), oxidation variants, and denatured proteins. We also illustrate convenient and rapid HIC method development outcomes from the effective combination of this screening setup with computer-assisted simulations. HIC retention models were built using readily available LC simulator software outlining less than a 5% difference between experimental and simulated retention times with a correlation coefficient of >0.99 for pharmaceutically relevant multicomponent mixtures. In addition, we demonstrate how this approach paves the path for a straightforward identification of first-dimension HIC conditions that are combined with mass spectrometry (MS)-friendly reversed-phase liquid chromatography (RPLC) detection in the second dimension (heart-cutting two-dimensional (2D)-HIC-RPLC-diode array detector (DAD)-MS), enabling the analysis and purification of biopharmaceutical targets.
Keyphrases
- liquid chromatography
- mass spectrometry
- high resolution mass spectrometry
- tandem mass spectrometry
- simultaneous determination
- high performance liquid chromatography
- high resolution
- high throughput
- gas chromatography
- ms ms
- loop mediated isothermal amplification
- capillary electrophoresis
- multiple sclerosis
- heart failure
- machine learning
- small molecule
- deep learning
- magnetic resonance
- solid phase extraction
- magnetic resonance imaging
- computed tomography
- copy number
- molecular dynamics
- solid state
- hydrogen peroxide
- quantum dots