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Polyphenols (PCs) are a numerous class of bioactive molecules and are known for their antioxidant activity. In this work, the potential of the quadrupole/linear ion trap hybrid mass spectrometer (LIT-QqQ) was exploited to develop a semi-untargeted method for the identification of polyphenols in different food matrices: green coffee, Crocus sativus L. (saffron) and Humulus lupulus L. (hop). Several conjugate forms of flavonoids and hydroxycinnamic acid were detected using neutral loss (NL) as a survey scan coupled with dependent scans with enhanced product ion (EPI) based on information-dependent acquisition (IDA) criteria. The presented approach is focused on a specific class of molecules and provides comprehensive information on the different conjugation models that are related to specific base molecules, thus allowing a quick and effective identification of all possible combinations, such as mono-, di-, or tri-glycosylation or another type of conjugation such as quinic acid esters.

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KV and Pineapple P) cultivated at the same condition, were investigated. GC-MS analysis was carried out to evaluate the volatile fraction, while HPLC-MS/MS was used for cannabinoids and polyphenolic compounds. The evaluation of antioxidant activity was carried out using ABTS *+ , Trolox equivalence antioxidant capacity (TEAC), ferric reducing antioxidant property (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH * ) assays in vitro. The obtained data demonstrated that each cultivar has a characteristic chemical profile, with highest antioxidant capacity for CL, F75, GSK and Ferimon. Based on the in vitro antioxidant activity the plant extracts can be considered as promising candidates for different applications in food field.

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