Assessing Multi-Attribute Characterization of Enveloped and Non-Enveloped Viral Particles by Capillary Electrophoresis.
Rita P FernandesJose Miguel EscandellAna C L GuerreiroFilipa MouraTiago Q FariaSofia B CarvalhoRicardo J S SilvaPatricia Gomes-AlvesCristina PeixotoPublished in: Viruses (2022)
Virus-based biopharmaceutical products are used in clinical applications such as vaccines, gene therapy, and immunotherapy. However, their manufacturing remains a challenge, hampered by the lack of appropriate analytical tools for purification monitoring or characterization of the final product. This paper describes the implementation of a highly sensitive method, capillary electrophoresis (CE)-sodium dodecyl sulfate (SDS) combined with a laser-induced fluorescence (LIF) detector to monitor the impact of various bioprocess steps on the quality of different viral vectors. The fluorescence labelling procedure uses the (3-(2-furoyl) quinoline-2-carboxaldehyde dye, and the CE-SDS LIF method enables the evaluation of in-process besides final product samples. This method outperforms other analytical methods, such as SDS-polyacrylamide gel electrophoresis with Sypro Ruby staining, in terms of sensitivity, resolution, and high-throughput capability. Notably, this CE-SDS LIF method was also successfully implemented to characterize enveloped viruses such as Maraba virus and lentivirus, whose development as biopharmaceuticals is now restricted by the lack of suitable analytical tools. This method was also qualified for quantification of rAAV2 according to the International Council for Harmonisation guidelines. Overall, our work shows that CE-SDS LIF is a precise and sensitive analytical platform for in-process sample analysis and quantification of different virus-based targets, with a great potential for application in biomanufacturing.
Keyphrases
- capillary electrophoresis
- high throughput
- gene therapy
- mass spectrometry
- energy transfer
- liquid chromatography
- primary care
- healthcare
- sars cov
- single molecule
- computed tomography
- quality improvement
- risk assessment
- single cell
- magnetic resonance
- wound healing
- flow cytometry
- hyaluronic acid
- image quality
- molecularly imprinted