Classification of Olive Oils through the use of High Resolution GC/MS

Structural Elucidation and Predictive Model Generation of Olive Oil Classification using a GC/Q-TOF MS and Multivariate Analysis ASMS 2012 Poster M486 Stephan Baumann and Sofia Aronova : Agilent Technologies, Santa Clara, CA Overview Experimental Introduction In this experiment we demonstrated…

Olive Oil Characterization using Agilent GC/Q-TOF MS and Mass Profiler Professional Software Application Note Food Testing & Agriculture Authors Abstract Stephan Baumann, A model was constructed that predicts whether an olive oil will pass the extra virgin Sofia Aronova sensory…

Food Fraud Guide Methodologies for Food Fraud Tips for robust experimental results Executive summary Knowing that food fraud scandals often drive public awareness and regulatory changes, the goal of this paper is to present analytical techniques and experimental methodologies, and…

Agilent 7200 Q-TOF for GC/MS ACHIEVE MAXIMUM QUALITATIVE AND QUANTITATIVE POWER FOR CHALLENGING APPLICATIONS Maximize detection selectivity and confidently analyze both targets and unknowns Complex matrices and trace-level analyses demand your best qualitative and quantitative data. Now, a new technology…