Sartorius Ag · XETR:SRT

Sartorius — Technical Presentation (May 2025)

30 slides from Sartorius's technical presentation, May 23, 2025

1. Slide 1: Simplifying Progress: Umetrics Ecosystem SIMCA News

   Simplifying Progress Umetrics® Ecosystem SIMCA® News 2025-05-23

2. Slide 2: SIMCA 18.1

   SIMCA® 18.1 LRTORILS

3. Slide 3: SIMCA 18.1 News Overview

   SIMCA® News SIMCA® 18.1 Alarm Configuration Aligned With SIMCA®-online User Experience Improvements  Completely synchronized functionality  Adaptive Process Mode models managed in Workset dialog Sartorius Extensions Tab  Calibration and Filter wizards now supports changing  Enables rapid prototy

4. Slide 4: Alarm Configuration Aligned With SIMCA-online

   SIMCA® News Alarm Configuration Aligned With SIMCA®-online Benefits  Set and test highly specific alarms already in SIMCA®  Edit existing alarms at the same time project is updated Changes  Added multiple alarm groups that each have triggers, region and vectors  Option to add Start and/or Stop M

5. Slide 5: Sartorius Extensions Tab

   SIMCA® News Sartorius Extensions Tab Benefits  Professionally integrate application specific and general functionality to extend SIMCA®  Rapidly add usefulness to SIMCA® Changes  Added tab in SIMCA® with machine learning extensions  Only Sartorius extensions eligible for new tab  Functionality

6. Slide 6: New Calibration Transfer Method

   SIMCA® News New Calibration Transfer Method Benefits  Now able to perform slope and bias calibration transfer to adjust predicted Y data  Performed in compliance with USP 1039, following common practice within spectroscopy community Changes  Added method for slope and bias adjustment for predicte

7. Slide 7: User Experience Improvements

   SIMCA® News User Experience Improvements  Adaptive Process Mode models managed in Workset wizard  Workset wizard summary page updated to show more relevant information  Calibration and Filter wizards now supports changing select and zoom tools in plots  Improved Python debug in SIMCA® 7

8. Slide 8: SIMCA 18

   SIMCA® 18 LRTORILS

9. Slide 9: SIMCA 18 Overview

   SIMCA® News SIMCA® 18 Overview  SIMCA® delivers a complete data analysis experience, from data import and organization to data driven decision making supported by multivariate models  SIMCA® 18 introduces Adaptive Process Mode modelling to address challenges of continuous culture processes and oth

10. Slide 10: SIMCA 18 Highlights

    SIMCA® News SIMCA® 18 Highlights  Adaptive Process Mode  Python Scripting  Combine dynamic and steady state process data  Generate Control Advisor data and models for SIMCA®-online  PLS | OPLS® models for dynamic phases  Test created Forecast models  PCA for steady state phase in batch projec

11. Slide 11: Learning What's New in SIMCA 18

    SIMCA® News Learning What’s New in SIMCA® 18  In the following slides you will get an overview of the changes and additions made in SIMCA® 18  For more details on how to use the features, watch the what’s new videos that you can reach from the start page of SIMCA® 18  Also check out more videos o

12. Slide 12: What's New: Adaptive Process Mode

    SIMCA® 18 What’s New Adaptive Process Mode What  Combine OPLS® and PCA models in Batch projects Why  Combine dynamic and steady state process data in one project  Create batch level models for steady state phases  Combine dynamic and steady state phases at the batch level  One configuration in

13. Slide 13: Added Flexibility for Batch Process Modelling

    SIMCA® News Added Flexibility for Batch Process Modelling  Benefits  Improved modelling of steady state phase in batch projects  Create one project for entire process  Combine dynamic and steady state phases in single project configuration  Predictions of Critical Quality Attributes possible fo

14. Slide 14: Continuous Culture Processes in Biopharma

    SIMCA® News Continuous Culture Processes in Biopharma Ambr 250 HT Perfusion experiment*  OPLS®  Low explained variation, little variation over time  Glutamine/Glutamate/Ca/Osmolality decrease  PCA  Osmolality/Glutamine/Glutamate/Gluc/NH4/K/Ca positively correlated  Small/non-significant negati

15. Slide 15: What's New: Calibration Transfer

    SIMCA® 18 What’s New Calibration Transfer What NEW IMAGE  Added guided workflow for calculating Calibration Transfer weights to set up a model for new multivariate calibration solution Why  Use existing calibration | soft sensor model in a new setting without need for measuring all samples  Updat

16. Slide 16: Calibration Transfer – Guided Workflow

    SIMCA® News Calibration Transfer – Guided Workflow Select data  Parent dataset – original dataset that calibration model was built on  Raw data  Preprocessed data (in case it exists)  Child dataset - spectra from  Additional/New instrument  Instrument after service/maintenance  Latest time pe

17. Slide 17: Calibration Transfer – Guided Workflow

    SIMCA® News Calibration Transfer – Guided Workflow Observations  Match observations in the calibration model (parent) to representative new observations (child)  Match button  Match ID Variables  Exclude/include variables to be used in new setup  Align variables if necessary Summary  Model sta

18. Slide 18: What's New: Python Scripting

    SIMCA® 18 What’s New Python Scripting Create New Script  Added content User experience  Unit test automatically created NEW IMAGE Bundled scripts  Generate Control Advisor data and models  Test created Forecast models  Scalable model maintenance – for single and multiple projects 18

19. Slide 19: Create New Python Script and Other Improvements

    SIMCA® News Create New Python Script and Other Improvements Get it right from the start  Better dialog texts explaining the different options  Improved Python sample scripts  Python Help overhaul in included SIMCA® Scripting Guide New  Create ‘Vector’ for use in plots and lists in SIMCA®  Autom

20. Slide 20: Bundled Scripts – Control Advisor Model Generator

    SIMCA® News Bundled Scripts – Control Advisor Model Generator Generate Control Advisor data and models  Create forecast model Python script*, for creating datasets and models for SIMCA®-online Test created Forecast models  Verify that the created Control Advisor models give expected results that a

21. Slide 21: What's New: Other Improvements

    SIMCA® 18 What’s New Other improvements  Import performance   Improvements to resolving issues during import of batch and phase data Ability to reorder phases in multiphase model NEW IMAGE  Generated variables from qualitative  Correlation matrix updates  Orthogonal component visualization  E

22. Slide 22: Import of Batch and Phase Data

    SIMCA® News Import of Batch and Phase Data Problem Statement During import of data into SIMCA® the order of the phases is not correct New | Change  Improved visibility of possible solutions to solve identified issues  Updating Batch & Phase ordering  Drag and drop  Ease of use when many updates

23. Slide 23: Ability to Reorder Phases

    SIMCA® News Ability to Reorder Phases Problem Statement During import of data into SIMCA® the order of the phases was not correct, or all data was not available  The order of the phases needs to be corrected without importing the project another time  Additional phase data needs to be added New |

24. Slide 24: Generated Variables From Qualitative Variables

    SIMCA® News Generated Variables From Qualitative Variables Problem Statement For SIMCA® projects with qualitative | categorical variables it should be possible to include qualitative in generated variables. New/Change  Possible to create generated variables from qualitative | categorical variables

25. Slide 25: Correlation Matrix Update

    SIMCA® News Correlation Matrix Update Problem Statement Correlation Matrix in SIMCA® should use color scheme common to other Umetrics® Suite products New | Change  Color range  Red - perfectly negative correlation  White - no correlation  Blue - perfectly positive correlation  Number format pos

26. Slide 26: Orthogonal Component Visualization

    SIMCA® News Orthogonal Component Visualization Problem Statement Not straightforward to visualize orthogonal component of trademark method OPLS® New | Change  Default line plot for Spectroscopy projects  Makes model interpretation straightforward 26

27. Slide 27: Secondary Batch ID for Batch Level Models

    SIMCA® News Secondary Batch ID for Batch Level Models Problem Statement Not possible to show secondary Batch ID at batch level in batch projects with multiple phases New | Change  Secondary Batch ID available in all batch projects 27

28. Slide 28: Improved Stability and Project Recovery

    SIMCA® News Improved Stability and Project Recovery Stability and Recovery New option for 3D plots, ‘Turn off selection and highlight’, to improve performance for large datasets Open a project that needs to be recovered  Now possible to open possibly corrupt project with option to remove the datase

29. Slide 29: SIMCA Compatibility

    SIMCA® News SIMCA® Compatibility SIMCA® 18 saves project USP files in a backward Features in SIMCA® 18 not  Baseline correction compatible file format when the project doesn't contain compatible with SIMCA® 17/16  Offset functionality that requires a newer version  Adaptive Process Mode  Linear

30. Slide 30: Thank You.

    Thank You. Specifications subject to change without notice. © 2025 Copyright Sartorius Stedim Data Analytics AB, Östra Strandgatan 24 903 33 Umeå, Sweden

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