Compound identification and structure elucidation in Molecule Profiler software v1.3

Hi there, I am Yunyun Zou, Technical Product Manager for software at SCIEX. Today, I’m eager to share the exciting news: the release of the Molecule Profiler software version 1.3 that a lot of customers have been waiting for.

You may or may not be aware, Molecule Profiler software is intergraded into the SCIEX OS software ecosystem and provides customizable solutions for compound identification and structure elucidation for various types of compounds: small molecules, ionizable lipids, synthetic peptides, synthetic oligonucleotides and ADCs.

In this release of Molecule Profiler software version 1.3, we expanded the software capability to support innovative electron activated dissociation (EAD) fragmentation from the ZenoTOF 7600 system and apply it for small molecule metabolite identification, as well as ionizable lipids impurity analysis.

I have three short but sweet videos to share with you; if you like what you see, please share!

1. What is Molecule Profiler software and what is it capable of?

2. What is the new consolidated EAD/CID fragmentation process and data review for the small molecule metabolite identification solution like?

3. How to apply EAD fragmentation and data review for the ionizable lipids impurity analysis solution

For more information, don’t forget to visit our product page and view our technical notes:

• Molecule Profiler product page
• Technical note: Automated workflow for metabolite identification and microsomal clearance analysis using collision-induced dissociation (CID) and electron-activated dissociation (EAD)
• Technical note: Automatic characterization of the lipid nanoparticle ionizable lipid MC3 and its impurities using Molecule Profiler software
• Technical note: Characterization and identification of therapeutic peptide catabolites

About the Author

Yunyun Zou joined SCIEX in 2008 as an application scientist, and currently works as Technical Product Manager for software. She holds an MS in Biochemical Engineering from the Delft University of Technology. Connect with Yunyun on LinkedIn here.