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Rapid Analysis for Multicomponent High-Throughput Crystallization Screening: Combination of UV–Vis Spectroscopy and Chemometrics

Authors :
Wegner, Christina H.
Zimmermann, Ines
Hubbuch, Jürgen
Source :
Crystal Growth & Design; February 2022, Vol. 22 Issue: 2 p1054-1065, 12p
Publication Year :
2022

Abstract

Selective protein crystallization is a trending alternative to preparative chromatography in biotechnological downstream processing. To save time and resources in early-stage process development, fast and reliable analytics are required. This work aimed to develop and assess a low-volume, quantitative, analytical tool for faster development of crystallization processes. The analytical tool was based on ultraviolet–visible spectroscopy and partial least-squares modeling and aimed to selectively quantify protein concentrations in heterogeneous supernatants during crystallization process development. For this purpose, a ternary model protein system consisting of hen-egg-white Lysozyme, bovine Ribonuclease A, and equine Cytochrome C was used for model calibration and subsequent crystallization studies for application. In a high-throughput screening, Lysozyme was selectively crystallized varying pH, precipitant concentration, and Lysozyme concentration at 8 °C for 13 days. During a kinetic study, the composition of two selected conditions was monitored over a time range of 7 days. In both studies, the developed tool quantified the different species in the supernatant with high precision. Crystal yield, purity, and selectivity were evaluated with a sensitivity of 96.23% and a short analysis time of 3 min per sample. The studies were carried out in 96-well plates. This said, the methodology could be easily adapted to higher throughput scales, i.e., 384-well or 1536-well plates.

Details

Language :
English
ISSN :
15287483 and 15287505
Volume :
22
Issue :
2
Database :
Supplemental Index
Journal :
Crystal Growth & Design
Publication Type :
Periodical
Accession number :
ejs58623111
Full Text :
https://doi.org/10.1021/acs.cgd.1c00907