The Journal of Applied Bioanalysis presents in collaboration with Thermo Fisher Scientific (USA) this FREE webinar.
Date: Thursday June 27th, 2019
Time: 10:00 [PDT] / 13:00 [EDT] / 19:00 [CEST]
Bioanalysis of small and large proteins in biological matrices comes with challenges. Scientists need to utilize workflows that will enable them to separate analytes from their biological samples to achieve improved selectivity, reproducibility, sensitivity, and dynamic range.
In this webinar, the following information will be discussed:
- Application of a workflow solution known as Mass Spectrometric Immunoaffinity Assay (MSIA™) for the analysis of insulin and monoclonal antibody.
- Automation of sample processing and analysis using LC-MS.
- Reduced background leading to improved reproducibility, selectivity, and sensitivity compared to solid phase extraction and beads.
- Quantitation of intact proteins and peptides.
- Understanding challenges in the analysis of biological molecules.
- Overcoming challenges associated with biomolecules analysis.
- Utilizing automated workflow solutions to increase sample throughput.
- Optimizing LC-MS for quantitation of biomolecules.
Presenter Dr. Kwasi Antwi
Kwasi Antwi was born in Ghana and received his Ph.D. in 2006 from the Department of Chemistry in the University of Massachusetts, Amherst. In 2009, he completed his postdoctoral fellowship in Professor Douglas Lake’s Lab at the Arizona State University. He was then promoted to a Research Faculty position in the School of Life Sciences at Arizona State University, where he focused his research on studying biomarkers for cancers and infectious diseases.
In 2013, he joined Thermo Fisher Scientific as the Application Scientist for the MSIA (Mass Spectrometric Immunoassay) group. At his current position at Thermo Fisher Scientific, Dr. Antwi has developed several immunoassays and LC-MS methods to study biomolecules, including monoclonal antibodies, antibody drug conjugates, fusion proteins, insulin, etc. His work has been published in applications notes, which are being utilized by the Biopharma industry to study biomolecules.