title: A New Bayesian Approach for Estimating the Presence of a Suspected Compound in Routine Screening Analysis.
abstract: A novel method for compound identification in liquid chromatography-high resolution mass spectrometry (LC-HRMS) is proposed. The method, based on Bayesian statistics, accommodates all possible uncertainties involved, from instrumentation up to data analysis into a single model yielding the probability of the compound of interest being present/absent in the sample. This approach differs from the classical methods in two ways. First, it is probabilistic (instead of deterministic); hence, it computes the probability that the compound is (or is not) present in a sample. Second, it answers the hypothesis "the compound is present", opposed to answering the question "the compound feature is present". This second difference implies a shift in the way data analysis is tackled, since the probability of interfering compounds (i.e., isomers and isobaric compounds) is also taken into account.
authors: Analytical Chemistry, Van't Hoff Institute for Molecular Sciences, University of Amsterdam , P.O. Box 94720, 1090 GE Amsterdam, The Netherlands.
authors: Michael
authors: M
authors: Woldegebriel
authors: Analytical Chemistry, Van't Hoff Institute for Molecular Sciences, University of Amsterdam , P.O. Box 94720, 1090 GE Amsterdam, The Netherlands.
authors: Gabriel
authors: G
authors: Vivó-Truyols