Hagai Yasuor

Detection, analysis, and characterization of low-abundant metabolites remain an unresolved problem in metabolic studies. In this study, we report a novel approach to address this challenge. The current methodology is derived from the predictive multiple reaction monitoring (pMRM) mode available on triple-quadrupole linear ion trap mass spectrometry (MS) systems. The pMRM mode offers the highest sensitivity among various acquisition modes for studying trace levels of metabolites of the herbicide clomazone in plants. Additionally, this method allows for the identification of positional isomers of metabolites.

Describes a new method to address the challenges of detection, analysis and characterization of low-abundant metabolites in metabolomic studies.

A novel approach for detection, analysis, and characterization of low-abundant herbicide metabolites is reported here.