| 00:00:00 | Welcome |
| 00:00:13 | Introduction |
| 00:01:01 | Using Taylor Dispersion Analysis for early stability assessment via a single kD measurement |
| 00:01:20 | Overview |
| 00:01:52 | Overview |
| 00:01:56 | Protein Stability and Aggregation |
| 00:02:56 | Protein Stability and Aggregation |
| 00:03:41 | Protein Stability and Aggregation |
| 00:04:37 | Measuring Protein Stability |
| 00:06:06 | Measuring Protein Stability |
| 00:07:27 | Characterisation across the pipeline |
| 00:09:22 | Measuring Protein Stability |
| 00:10:02 | What is kD and B22? |
| 00:11:51 | What is kD and B22? |
| 00:13:00 | Understanding kD and B22: Attractive and Repulsive Interactions |
| 00:14:18 | Understanding kD and B22: Attractive and Repulsive Interactions |
| 00:15:01 | Viscosity as an early predictor |
| 00:15:41 | Viscosity as an early predictor |
| 00:16:12 | Overview |
| 00:16:32 | Taylor Dispersion Analysis |
| 00:17:35 | Taylor Dispersion Analysis |
| 00:18:13 | Taylor Dispersion Analysis – Measuring Diffusion Coefficient |
| 00:19:21 | Taylor Dispersion Analysis – Measuring Hydrodynamic Radius |
| 00:21:11 | Taylor Dispersion Analysis – Frontal Injection |
| 00:22:03 | Taylor Dispersion Analysis – Measuring kD |
| 00:23:29 | Overview |
| 00:23:42 | Challenges of Peptide Characterisation |
| 00:24:42 | Selected Peptides |
| 00:25:44 | Peptide Characterisation |
| 00:26:59 | Comparison of the three Peptides based on kD |
| 00:27:59 | Formulation study of Bradykinin |
| 00:28:56 | Literature example: Peptide Characterisation using TDA |
| 00:29:32 | Literature example: Early developability screen of mAbs |
| 00:31:14 | Literature example: Early developability screen of mAbs |
| 00:32:14 | Conclusions |
| 00:33:08 | Thank you for your attentionAny questions? |
| 00:37:29 | Contact Information |
The self-association characteristics of molecules in dilute solutions can provide an assessment of stability at an early stage in development. The diffusion interaction parameter (kD) is a measure of the propensity for self-association, but the determination of this parameter using existing methodologies requires several measurements over a concentration series. Here, we show how Taylor Dispersion Analysis can be used to generate a concentration gradient from which the kD can be extracted in a single, low volume measurement, making this an excellent choice of technology for early stability assessment, particularly for biopharmaceuticals.
Vortragende
Markos Trikeriotis studied Chemistry at the University of Crete in Greece, where he also completed his PhD in Biochemistry investigating the use of inorganic materials in drug delivery applications. He then moved to Cornell University, USA as a post-doctoral associate where he studied the applications of metal oxide nanoparticles in lithographic nano-patterning. Markos worked for a biotechnology start-up in Cardiff, UK and then joined the Microviscometry team at Malvern Instruments as an Applications Scientist.