What’s New in KnowItAll 2026
Wiley's KnowItAll software solutions provide a wide range of tools and databases to accelerate spectral identification for Raman, IR, GC-MS, LC-MS, NMR, and UV-Vis workflows. Continuously evolving to meet the demands of today's laboratory, KnowItAll 2026 takes spectral analysis to the next level.
Join us for a tour of KnowItAll 2026—featuring a newly added application for principal component analysis (PCA), enhanced workflows, & improvements across techniques to enhance your lab's productivity.
Key highlights in this release*
- New Trendfinder application: Applies Principal Component Analysis (PCA) to uncover patterns in spectra or chromatographic datasets. It's designed to make trend detection intuitive, even if you don't have a background in chemometrics.
- General updates: MSI deployment, strengthened security, and flexible database installation
- Workflow improvements: Enhanced database controls, searching, new file format support, and updated applications across the suite
- Enhanced LC-MS, NMR & GC-MS capabilities: Improved processing, automatic multiplet assignment, retention index searching, and more
Who should attend
- Current KnowItAll users to take advantage of the new capabilities
- Lab managers evaluating workflow improvements
- Instrument partners and resellers wanting to better serve customers
- Anyone interested in KnowItAll’s latest advances
* Access to features can vary based on the edition of the software you have and options you have licensed. KnowItAll databases require a subscription.
Presenter: Michelle D’Souza, PhD (Product Manager, Software Products, Wiley Science Solutions, Wiley)
Dr. D’Souza brings years of insight and knowledge in the area of spectral informatics with leadership roles at both Wiley and Bio-Rad Laboratories. In addition to her multiple years as a scientific researcher at Abbott (now AbbVie) and DuPont, she has a Ph.D. in Chemistry from Northern Illinois University and a Masters in Analytical Chemistry from the Chinese Academy of Preventative Medicine. She earned a BS degree from Chemistry Department of Beijing University.
