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Webinar | Automation in a purification lab at AstraZeneca

Automating the processing of analytical data for multiple drug discovery applications.

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Join us for an insightful session where scientists and IT professionals from AstraZeneca come together to explore the complexities of managing analytical data within a purification lab setting. In this session, Carolina Sanchez, Senior Scientist, and Katie Proctor, Senior Scientist, will discuss the challenges of manually processing and reviewing large volumes of analytical data, and explain how automation software solutions are boosting efficiency and benefiting them in their day-to-day work. Following that, Dr. Christoph Bauer, Associate Principal Scientist, will discuss the IT architecture and integration aspects of the solution implementation.

SPEAKERS

Katie Proctor, Senior Research Scientist (AstraZeneca)

Carolina Sanchez, Senior Scientist (AstraZeneca)

Christoph Bauer, Associate Principal Scientist (AstraZeneca)

Abstract

A lab with significant analytical capacity entails managing a large number of instruments and extensive analytical data on a daily basis. Within our purification labs, analytical screening data generated for compounds submitted for purification, as well as data from instrument suitability testing, was traditionally reviewed manually by an analyst to determine the most appropriate method for purification. However, this changed with the implementation of the automation solution from Mnova. The solution includes the Chrom SST brick, which monitors the performance of our instruments, and Chrom Best Method, which automatically processes the screening data and identifies the best conditions for purification, thereby freeing up analyst time. 

In this webinar, we will explain how these solutions fit into our day-to-day work and the benefits they have brought us. We will also discuss the IT architecture and integration aspects, the server-based processing logic, as well as the content and formats of the output.