PEGS 2025 - Dedicated computational methods for feature detection and quantification in large molecule mass spectrometry analyses
Progressive deconvolution enables precise detection and quantification of complex biologics across highly heterogeneous samples
About This Poster
The increasing size and complexity of modern biotherapeutics introduce significant analytical challenges, particularly when characterizing heterogeneous samples with overlapping species and isomeric forms. Traditional intact mass spectrometry (MS) methods often struggle to resolve such complexity, limiting confidence in mass identification and quantification.
This poster presents a progressive deconvolution workflow that enhances large mass feature detection by incorporating temporal resolution with charge and isotope deconvolution. By iteratively analyzing sequential time segments of chromatographic data, this approach accurately distinguishes co-eluting species and isomeric variants, providing clear elution profiles and robust quantification.
Applied to complex biologics—including antibody-drug conjugates, monoclonal antibodies, and glycoproteins—progressive deconvolution delivers high-confidence results for drug-to-antibody ratio (DAR) calculations, variant analysis, and detailed glycoform profiling, enabling more informed decisions throughout biopharmaceutical development.
