In this on-demand webinar, scientists and IT professionals from AstraZeneca came together to 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.
Event Overview
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 Mestrelab's 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 explain how these solutions fit into our day-to-day work and the benefits they have brought us. We also discuss the IT architecture and integration aspects and the server-based processing logic, as well as the content and formats of the output.
What you need to know
Format: On-demand
Duration: 40 minutes
Who should watch?
If you're a separation scientist who regularly uses LC/GC-MS systems and you're interested in discovering new solutions that simplify maintaining control over instrument suitability with minimal effort, or making swift data-based decisions regarding the adequacy and efficiency of your purification methods, then you'll want to watch this webinar.
If you are a lab/facility or a project manager looking for innovative solutions to streamline lab processes, increase efficiency, and reduce human error, this webinar is for you.
The Presenters
Carolina Sanchez
Senior Scientist, AstraZeneca
Carolina is a chemical engineer and biotechnologist with a keen interest in data science. Since 2015, she's been deeply involved in chromatography, getting better at developing analytical techniques for various uses. For the past four years, she's been at AstraZeneca, working as a separation scientist, where she focuses on preparative chromatography of small molecules, using both liquid and supercritical fluid chromatography methods.
Katie Proctor
Senior Research Scientist, AstraZeneca
Katie is a senior research scientist in the Analytical and Purification group at AstraZeneca Cambridge since 2018. She has a keen interest in data science and has a focus on developing software solutions to automate system suitability assessments and analytical to purification method selection. In the lab, Katie focuses on achiral SFC and RP purification of small molecules.
Christoph Bauer
Associate Principal Scientist, AstraZeneca
Christoph holds a PhD in theoretical chemistry and has transitioned to the field of chemoinformatics and modeling, where he applies quantum chemistry, statistical analysis, and machine learning methods to chemical data within the pharmaceutical science domain. Over the past four years, he has been working in the Pharm Sci Data Science & Modeling group at AstraZeneca, developing cheminformatics and computational solutions aimed at streamlining chemistry workflows.
Plus, download these additional resources
Introducing The Mnova Purification Suite—A brief introduction of the Mnova Purification Suite, its flexible and modular components, and its main features. Check to see if we have the solution you are looking for.
Evaluating Chromatographic Methods: Scoring Criteria and Considerations—An application note addressing the chromatographic method scoring criteria and their subtleties. It explains the non-linear relationships between the scoring parameters and the importance of combining them correctly to ensure accurate evaluations.
LC Separation Procedures for Ezetimibe—An application note discussing the selection of LC procedures to isolate Ezetimibe from its degradants, and demonstrating how data automation enhances the method scoring and selection process and enables effective presentation of results to extract actionable insights.
Mnova Solutions for LC-GC-MS Applications—A brochure presenting additional Mnova automations for LC/GC-MS applications.
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