LC-MS Software
The Veterinary Drug Personal Compound Database and Library (PCDL) for TOF or Q-TOF LC/MS systems contains a curated accurate-mass database with over 2,100 compounds, accurate-mass MS/MS spectra for more than 1,500 compounds, and retention time information for 120 compounds. Detailed acquisition method setup information provided allows for fast ramp-up to full productivity.
The Veterinary Drug tMRM Database for LC/QQQ system contains a curated database with over 650 compounds, with up to 10 MRM transitions, fragmentor voltages, and collision energies for each compound. Instantly build methods for targeted screening and confident quantitation for hundreds of analytes in a single run.
The Forensic Toxicology Personal Compound Database and Library (PCDL) for TOF or Q-TOF LC/MS systems contains a curated accurate-mass database with over 9,200 compounds and accurate-mass MS/MS spectra for more than 3,900 compounds. Detailed acquisition method setup information provided allows for fast ramp-up to full productivity.
The Agilent Metabolomics dMRM Database and Method offers a comprehensive solution for targeted analysis of central carbon metabolites.
The Extractables and Leachables Personal Compound Database and Library (PCDL) for TOF or Q-TOF LC/MS systems contains a curated accurate-mass database with over 1,000 compounds and accurate-mass MS/MS spectra for 360 compounds.
Profinder is a fast, batch-processing feature extraction software for differential analysis that supports data from Agilent GC/MSD, GC/Q-TOF, LC/TOF and LC/Q-TOF instruments. Profinder speeds up differential and flux analysis workflows using an intuitive user interface.
The Forensic Toxicology tMRM Database for LC/QQQ system contains a curated database with over 2800 compounds, with up to 10 MRM transitions, fragmentor voltages, and collision energies for all compounds. Instantly build methods for targeted screening and confident quantitation for hundreds of analytes in a single run.
Rules-Based Fragment Prediction for Mass Spectrometry
Acquiring high quality data doesn't need to be a challenge.
Characterize Samples and Identify Unknown Components
