Reducing environmental impact of oligonucleotide manufacturing through dynamic process modeling

Abstract: This presentation details the development of a dynamic process model designed to align early-stage oligonucleotide synthetic processes with ambitious corporate sustainability targets, specifically focusing on carbon footprint and toxic material consumption. By coupling a Bill of Materials with carbon emission factors and SVHC (Substance of Very High Concern) designations, the model quantifies environmental impacts on both a mass basis and a per-patient-per-year metric. A case study on oligonucleotide manufacturing is used to demonstrate how this data-driven approach identifies gaps and quantifies the environmental impact of process optimizations. Equipped with these insights, scientists can identify and apply green chemistry opportunities early in oligonucleotide process development to ensure future manufacturing processes meet stringent launch limits.