Robust high-throughput batch screening method in 384-well format with optical in-line resin quantification

• Published in: Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2015-04, Vol.988, p.98-105
• Main Authors: Kittelmann, Jörg, Ottens, Marcel, Hubbuch, Jürgen
• Format: Article
• Language: English
• Subjects: Batch isotherm; Bootstrap analysis; Chromatography, Liquid - instrumentation; Chromatography, Liquid - methods; Cluster Analysis; Equipment Design; High-throughput screening (HTS); High-Throughput Screening Assays - methods; Liquid handling station (LHS); Microtechnology - instrumentation; Monte Carlo; Monte Carlo Method; Muramidase; Polymers; Reproducibility of Results; Resin quantification; Sepharose
• ISSN: 1570-0232; 1873-376X
• DOI: 10.1016/j.jchromb.2015.02.028

•We present a high-throughput resin batch screening method in 384-well format.•In-line optical quantification of resin volumes in microtiter plates is described.•Validation with statistical methods of the presented process is performed.•Error propagation analysis confirms a robust and reproducible HTS process.•Results provide a guideline for data quality driven HTS process layouts. High-throughput batch screening technologies have become an important tool in downstream process development. Although continuative miniaturization saves time and sample consumption, there is yet no screening process described in the 384-well microplate format. Several processes are established in the 96-well dimension to investigate protein–adsorbent interactions, utilizing between 6.8 and 50μL resin per well. However, as sample consumption scales with resin volumes and throughput scales with experiments per microplate, they are limited in costs and saved time. In this work, a new method for in-well resin quantification by optical means, applicable in the 384-well format, and resin volumes as small as 0.1μL is introduced. A HTS batch isotherm process is described, utilizing this new method in combination with optical sample volume quantification for screening of isotherm parameters in 384-well microplates. Results are qualified by confidence bounds determined by bootstrap analysis and a comprehensive Monte Carlo study of error propagation. This new approach opens the door to a variety of screening processes in the 384-well format on HTS stations, higher quality screening data and an increase in throughput.