• Pfizer streamlines LC/UV/MS data processing, analysis, and reporting

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Pfizer streamlines LC/UV/MS data processing, analysis, and reporting

Navigating diverse instruments and software in R&D labs is challenging. Pfizer’s Pharmaceutical Small Molecules (PSSM) team faced this with multiple LC/UV/MS data processing tools. This meant that they had to learn multiple interfaces and often resulted in inefficient, and non-standardised data processing, analysis and reporting.

More efficient data integration and management

The PSSM team at Pfizer needed consistent, standardised data. They implemented a workflow using ACD/Labs Spectrus software, integrating data from their multiple LC/MS instrument sources into a single format for automated processing, analysis and customised reporting. With Spectrus, the team were able to:

  • Harmonise data for easier retrieval: The PSSM team can harmonise multiple file formats and data types into a single standardised format and complete all analytical analysis and processing, regardless of technique, in a single interface - eliminating data silos and allowing for data continuity.
  • Make informed data-driven decisions faster with better data management: The PSSM team can store their homogenised data in centralised chemically intelligent databases. They can easily search these live analytical databases by various parameters, i.e., spectra, structure, or text-based queries - ensuring they can access all pertinent information when required to make confident data-driven decisions.
  • Easily collaborate: Using Spectrus analytical and chemical data is digitalised. The PSSM team can create customised reports and add data to their ELN, allowing them to quickly share information and collaborate with other departments.
  • Improve efficiency with automation: Using the tools in the Spectrus-enabled workflow, the team semi-automated their manual processing - reducing data processing time by over 50%.

Implementation of the Spectrus-enabled workflow provided transformative results for the PSSM team - boosting efficiency and accuracy of data collection, making collaboration easier, and allowing knowledge to be preserved and leveraged.  

Read the case study.

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