Mass Spectral Similarity Mapping Applied to Fentanyl Analogs

07 February 2020, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

: This manuscript outlines a straight-forward procedure for generating a map of similarity between spectra of a set. When applied to a reference set of spectra for Type I fentanyl analogs (molecules differing from fentanyl by a single modification), the map illuminates clustering that is applicable to automated structure assignment of unidentified molecules. An open-source software implementation that generates mass spectral similarity mappings of unknowns against a library of Type I fentanyl analog spectra is available at http://github.com/asm3-nist/FentanylClassifier.

Keywords

Drug Identification
Fentanyl
Hybrid Match Factors
k-means Clustering
Mass spectral library searching
Mass spectral similarity mapping
multidimensional scaling

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