Literature DB >> 33514069

Microwell Plate-Based Dynamic Light Scattering as a High-Throughput Characterization Tool in Biopharmaceutical Development.

Katharina Dauer1,2, Stefania Pfeiffer-Marek2, Walter Kamm2, Karl G Wagner1.   

Abstract

High-throughput light scattering instruments are widely used in screening of biopharmaceutical formulations and can be easily incorporated into processes by utilizing multi-well plate formats. High-throughput plate readers are helpful tools to assess the aggregation tendency and colloidal stability of biological drug candidates based on the diffusion self-interaction parameter (kD). However, plate readers evoke issues about the precision and variability of determined data. In this article, we report about the statistical evaluation of intra- and inter-plate variability (384-well plates) for the kD analysis of protein and peptide solutions. ANOVA revealed no significant differences between the runs. In conclusion, the reliability and precision of kD was dependent on the plate position of the sample replicates and kD value. Positive kD values (57.0 mL/g, coefficients of variation (CV) 8.9%) showed a lower variability compared to negative kD values (-14.8 mL/g, CV 13.4%). The variability of kD was not reduced using more data points (120 vs. 30). A kD analysis exclusively based on center wells showed a lower CV (<2%) compared to edge wells (5-12%) or a combination of edge and center wells (2-5%). We present plate designs for kD analysis within the early formulation development, screening up to 20 formulations consuming less than 50 mg of active pharmaceutical ingredient (API).

Entities:  

Keywords:  biopharmaceuticals; diffusion interaction parameter; dynamic light scattering; formulation development; high-throughput technologies; protein characterization; protein-solvent interaction; variability

Year:  2021        PMID: 33514069     DOI: 10.3390/pharmaceutics13020172

Source DB:  PubMed          Journal:  Pharmaceutics        ISSN: 1999-4923            Impact factor:   6.321


  3 in total

1.  Revisit PEG-Induced Precipitation Assay for Protein Solubility Assessment of Monoclonal Antibody Formulations.

Authors:  Martha J Scannell; Matthew W Hyatt; Ivan L Budyak; Mahlet A Woldeyes; Ying Wang
Journal:  Pharm Res       Date:  2021-10-13       Impact factor: 4.200

2.  Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches.

Authors:  Tristan O C Kwan; Stefan A Kolek; Amy E Danson; Rosana I Reis; Ines S Camacho; Patrick D Shaw Stewart; Isabel Moraes
Journal:  Front Mol Biosci       Date:  2022-05-16

3.  Long-Term Stability Prediction for Developability Assessment of Biopharmaceutics Using Advanced Kinetic Modeling.

Authors:  Andreas Evers; Didier Clénet; Stefania Pfeiffer-Marek
Journal:  Pharmaceutics       Date:  2022-02-08       Impact factor: 6.321

  3 in total

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