NMR spectroscopy in conjugation with multivariate statistical analysis for distinguishing plant origin of edible oils

Nuclear Magnetic Resonance (NMR) Spectroscopy in Food Science: A Comprehensive Review

“…Because in most cases a single biomarker is not adequate for the classification of a food as authentic or nonauthentic, discrimination is usually achieved by the combination of NMR with MVSA (Esslinger, Riedl, & Fauhl‐Hassek, ; López et al., ) using untargeted or targeted analysis, which has been described in the chemometrics section. Applications include beverages (Ali, Maltese, Toepfer, Choi, & Verpoorte, ; Anastasiadi et al., ; Fan et al., ; Godelmann et al., ; Košir & Kidrič ; Kuballa et al., ; Mannina et al., ; Marcone et al., ; Viggiani & Morelli, ), fruits and vegetables (Capitani et al., ; Kim et al., ; Longobardi et al., ; Pacifico et al., ), honey (Beretta et al, ; Schievano et al, ), fats, and oils (Alonso‐Salces et al., , 2010b; Dais & Hatzakis, ; Kim et al., ; Kritioti, Menexes, & Drouza, ; Mannina & Segre, ; Mannina & Sobolev, ; Merchak et al., , , ; Özdemir et al., ; Shi et al., ; Standal, Aursand, & Axelson, ; Standal, Axelson, & Aursand, ; Zhang et al., ), spices (Farag et al., ; Kuballa et al., ; Hu et al., ; Petrakis et al., ; Petrakis et al., ), dietary supplements (Minoja & Napoli, ; Yuk et al., ), and meat (Jung et al., ; Sacco, Brescia, Buccolieri, & Caputi Jambrenghi, ), fish, and dairy products (Consonni & Cagliani, , ; Li et al., ; Marcone et al., ; Sacco et al., ; Shintu & Caldarelli, ; Spyros & Dais, ; Tociu, Todasca, Bratu, Mihalache, & Manolache, ). The most common factors that are investigated are variety (Clausen et al., ; Girelli, Del Coco, & Fanizzi, ; Schievano, Peggion, & Mammi, ), geographical origin (Alonso‐Salces et al., …”

“…Because in most cases a single biomarker is not adequate for the classification of a food as authentic or nonauthentic, discrimination is usually achieved by the combination of NMR with MVSA (Esslinger, Riedl, & Fauhl-Hassek, 2014;López et al, 2014) using untargeted or targeted analysis, which has been described in the chemometrics section. Applications include beverages (Ali, Maltese, Toepfer, Choi, & Verpoorte, 2011;Anastasiadi et al, 2009;Fan et al, 2018;Godelmann et al, 2013;Kosǐr & Kidrič2002;Kuballa et al, 2018a;Mannina et al, 2016;Marcone et al, 2013;Viggiani & Morelli, 2008), fruits and vegetables (Capitani et al, 2010;Kim et al, 2013;Longobardi et al, 2013;Pacifico et al, 2013), honey (Beretta et al, 2008;Schievano et al, 2012), fats, and oils (Alonso-Salces et al, 2010a, 2010bKim et al, 2015;Kritioti, Menexes, & Drouza, 2018;Mannina & Segre, 2002;Mannina & Sobolev, 2011;Merchak et al, 2016Merchak et al, , 2018Özdemir et al, 2018;Shi et al, 2018;Standal, Aursand, & Axelson, 2011;Standal, Axelson, & Aursand, 2009;Zhang et al, 2018c), spices (Farag et al, 2018;Kuballa et al, 2018b;Hu et al, 2017;Petrakis et al, 2015;Petrakis et al, 2017), dietary supplements…”

Comment on “Identification of Edible Oils by Principal Component Analysis of 1H NMR Spectra”

“…The linoleic acid in corn, olive, peanut, sesame, and sunflower oils is 53. 6, 9.58, 32.8, 43.5, and 61.4, respectively, in Table 3 of the work of Zhang et al 6 Therefore, peanut oil is closer to olive oil than sunflower oil in both the score plot and the biplot.…”

Analytical Tools for Lipid Assessment in Biological Assays

“…Also, the exact ratio of specific fatty acids in the lipid samples and their iodine values could be calculated considering integral values corresponding to characteristic peaks with the help of the corresponding spectral information and the existing references [46]. This type of experiment works as a relative quantification.…”