Infrared Spectroscopy for Real-Time Oligonucleotide Synthesis Monitoring
Avoid Errors During Synthesis
Program Overview
- How to develop a machine learning model to use FTIR spectra for reaction monitoring
- Using FTIR and machine learning to monitor the synthesis and ensure that it is going according to plan
- PAT implementation for oligonuncleotide synthesis using FTIR spectroscopy and machine learning
Courtney Morder of Arrowhead Pharmaceuticals shares her experience on developing a spectroscopic method for real-time monitoring of oligonucleotide synthesis. Spectral data was collected using Fourier Transform Infrared (FTIR) spectroscopy coupled with an Attenuated Total Reflection (ATR) flow cell to calibrate a multivariate model to classify reagents as they are delivered to the column for synthesis.
IR spectra were collected throughout the synthesis and directly imported into SIPAT, which then applied the date to the multivariate model to classify the spectra in real-time. This allows for earliy identification of issues during synthesis and can provide greater confidence in the process and product quality. Combining inline testing and PAT management software can provide real-time sequencing information and help avoid errors during a synthesis.
Speakers
Courtney Morder, Ph.D.
Scientist at Arrowhead Pharmaceuticals
Courtney holds a Ph.d. in analytical chemistry from Ohio State University. She joined Arrowhead Pharmaceuticals as a scientist in 2024 where her work primarily focuses on PAT for oligonucleotide manufacturing.
