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High‐throughput screening of argan oil composition and authenticity using benchtop 1 H NMR
Author(s) -
Gunning Yvonne,
Jackson Alex J.,
Colmer Joshua,
Taous Fouad,
Philo Mark,
Brignall Rachel M.,
El Ghali Tibari,
Defernez Marianne,
Kemsley E. Kate
Publication year - 2020
Publication title -
magnetic resonance in chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 72
eISSN - 1097-458X
pISSN - 0749-1581
DOI - 10.1002/mrc.5023
Subject(s) - chemistry , nmr spectra database , outlier , composition (language) , edible oil , proton nmr , spectral line , analytical chemistry (journal) , nuclear magnetic resonance , chromatography , organic chemistry , artificial intelligence , food science , physics , computer science , linguistics , philosophy , astronomy
We use 60‐MHz benchtop nuclear magnetic resonance (NMR) to acquire 1 H spectra from argan oils of assured origin. We show that the low‐field NMR spectrum of neat oil contains sufficient information to make estimates of compositional parameters and to inform on the presence of minor compounds. A screening method for quality and authenticity is presented based on nearest‐neighbour outlier detection. A variety of oil types are used to challenge the method. In a survey of retail‐purchased oils, several instances of fraud were found.