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Formula Predictor LCMS System Identifies Unknowns with Greater Certainty from Shimadzu

Formula Predictor LCMS System Identifies Unknowns with Greater Certainty
Using information-rich MSn data, Shimadzu’s patent-pending Formula Predictor software takes advantage of multiple levels of fragmentation, isotope pattern verification, and unique fragment-ion filtering techniques to accurately determine the correct formula for unknown components. The new LCMS-IT-TOF system reduces/eliminates the need for tedious, manual processing of target candidates; often, the software can reduce the collection of target compounds from a high number of possible candidates to predicting the most likely empirical formula with just a simple mouse click.


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