Description du projet :
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This research project aims to develop a chemometric algorithm that improves oligonucleotide analysis accuracy and analysis time-demand by leveraging the combined strengths of diode array detection (DAD) and mass spectrometry (MS). The main goal is to establish an automated analytical workflow that enhances both the qualitative and quantitative assessment of therapeutic oligonucleotides and related impurities. By applying advanced multivariate statistical methods for spectral deconvolution, the framework will extract detailed information from UV absorption data, enabling better resolution of co-eluting species and more accurate quantification than single-wavelength detection. This methodology will be integrated with mass spectrometric data providing a more robust analytical by eliminating all manual steps of the data analysis. The resulting open-source software will address key challenges in oligonucleotide quality control, reducing costs and development time while supporting regulatory compliance. This approach will also strengthen Switzerland's position in oligonucleotide manufacturing.
Research team within HES-SO:
Rolinger Laura
, Castella Auxana
, Marcon Nadia
Partenaires académiques: VS - Institut Sciences du vivant
Durée du projet:
02.03.2026 - 02.03.2027
Montant global du projet: 80'000 CHF
State : Ongoing
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