Automated calibration and in‐line measurement of product quality during therapeutic monoclonal antibody purification using Raman spectroscopy

Abstract

Current manufacturing and development processes for therapeutic monoclonal antibodies demand increasing volumes of analytical testing for both real‐time process controls and high‐throughput process development. The feasibility of using Raman spectroscopy as an in‐line product quality measuring tool has been recently demonstrated and promises to relieve this analytical bottleneck. Here, we resolve time‐consuming calibration process that requires fractionation and preparative experiments covering variations of product quality attributes (PQAs) by engineering an automation system capable of collecting Raman spectra on the order of hundreds of calibration points from two to three stock seed solutions differing in protein concentration and aggregate level using controlled mixing. We used this automated system to calibrate multi‐PQA models that accurately measured product concentration and aggregation every 9.3 s using an in‐line flow‐cell. We demonstrate the application of a nonlinear calibration model for monitoring product quality in real‐time during a biopharmaceutical purification process intended for clinical and commercial manufacturing. These results demonstrate potential feasibility to implement quality monitoring during GGMP manufacturing as well as to increase chemistry, manufacturing, and controls understanding during process development, ultimately leading to more robust and controlled manufacturing processes.