Conventional GC-HRMS using EI data alone for non-target studies suffers from ambiguous identification of unknowns in NIST library searches due to less specific fragmentation, missing molecular ion signals or compound absence in the reference library. Library searches become prone for false positive assignment. To increase compound identification certainty, the addition of the molecular information, e.g., via CI is mandatory.
See how a novel GC-HRMS approach with simultaneous EI and CI data acquisition in a single GC run dramatically improves the quality of information and identification certainty. Non-target studies in wastewater analysis, human metabolites, vegan food similarity and material emission prove a game-changing power of the system.
Why watch this webinar:
Arnd Ingendoh, VP Business Development Applied Markets, Bruker Daltonics GmbH & Co KG
Sonja Klee, Product Manager ecTOF, TOFWERK AG
For Research Use Only. Not for use in clinical diagnostic procedures.