Profiling of the oil of the Egyptian cultivar of sesame ‘Giza 32’ using LC-MS-based untargeted metabolomics

Sesame (Sesamum indicum L.) is an important oil crop whose cultivation is distributed all over the world. In this context, the present study describes the metabolic profiling of the oil extracted from the Egyptian cultivar of sesame ‘Giza 32’, (SG32). It was performed using a reversed-phase high-performance liquid chromatography diode array detection, with a core-shell column, and coupled with quadrupole-time-of-flight-mass spectrometry (RP-HPLC-DAD-QTOF-MS) and tandem MS/MS. The characterization of the metabolites was based on their retention time, UV spectra, accurate mass spectrometry (MS), and MS/MS data along with a comparison with standards whenever possible and relevant literature. In this way, 86 characterized compounds belong to several classes namely, phenolic acids (hydroxybenzoic acids & hydroxycinnamic acids), flavonoids, lignans, organic acids, and amino acids. Surprisingly, 64 metabolites previously characterized in SG32 cake were passed in the oil and hence contribute to its antioxidant potential. Further studies are needed to figure out the presence of such phenolics after oil refining.