Literature & Media

Identification Of Fentanyl-Type Opioids Using GC-MS Fragmentation Data

Scientific posters

Predictive fragments and fragmentation patterns were determined after analyzing the mass spectral data of 60+ fentanyl-like substances via GC-MS. Differences in retention times between structurally related items and positional isomers were also noted. This data can assist in the identification of novel opioids of the fentanyl structural class when standards or library matches are unavailable.

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To cite this poster: Pierzynski, H.G., Neubauer, L., Choi, C., et al. Identification of fentanyl-type opioids using GC-MS fragmentation data. Poster presented at: IAFS 2017; August 21-25, 2017; Toronto, Ontario, Canada. 
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Identification Of Fentanyl-Type Opioids Using GC-MS Fragmentation Data<br>
Cayman ChemicalCayman ChemicalCayman Chemical

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