Tuesday, March 5th
Speaker 5, PM Session, 1:05 PM – 5:40 PM

Abstract:
The value of metabolite profiling and metabolomics in bioprocess development and optimization has been extensively discussed and demonstrated in the literature. Studies have shown that such approaches are critical to further understand cell metabolism to achieve higher productivities and process robustness  through cell engineering and media/feed development/optimization. However these approaches are hindered by the complexity of applying mass spectroscopy type analysis in the bioprocessing lab.

In this talk we’ll discuss contemporary approaches for rapid at-line quantitative media characterization across highly multiplexed panels. The capabilities of miniature MS systems for at line panel assays, and deeper characterization with rapid high performance MS methods will be reviewed.

Wednesday, March 6th
Speaker 2, PM Session, 1:05 PM – 5:40 PM

Abstract:
Raman technology has enjoyed increasing attention for bioprocess process parameter and product characterization. The appeal of a simple optical in-situ probe for multi-parameter evaluation is obvious, but the OPEX associated with robust multivariate model development often dwarfs the expense of the hardware itself. Considerable expertise is required in the nuances of the spectroscopic modality, the interplay of chemistry, physics and environmental factors, not to mention the details of multivariate model development and validation. This has limited adoption of raman technology to later stages of process development under the expert supervision of specialist PAT groups, which also greatly limits the amount of early-phase process diversity data that can be acquired to inform later-stage development.

In this talk we’ll discuss recent advances in a raman platform built to scale from early phase PD to GMP implementation, and facilitate both monitoring and control. This initiative necessitated the development of de novo data analytic approaches with far greater agility than traditional empirical multivariate calibration approaches, to generalize across cell lines, media systems, and reactor scales. In this talk we’ll discuss the key elements of de novo approaches from a foundational and practical perspective, along with their advantages and as importantly, limitations. Case studies from multiple cell lines, media systems and scales will be leveraged to highlight figures of merit. We’ll also discuss the opportunity to integrate metabolic and process engineering models with raman-based de novo methods for even more productive process understanding.