2017
DOI: 10.1016/j.jff.2017.06.050
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Novel approach to study fish oil oxidation using 1H nuclear magnetic resonance spectroscopy

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Cited by 16 publications
(18 citation statements)
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“…The goal of the clustering algorithm is to partition the objects into homogeneous groups, so the within-group similarities are large compared to similarities between the groups. The HCA results supported the results of PCA, in which concentrated essential oils samples extracted from the Lamiaceae family (samples [8][9][10][11][12][13][14][15][16] and from the Asteraceae family (samples 3-7) were close to each other according to the hierarchical clustering result. Thus, there is more similarity in spectra from the same botanical family than between spectra of the concentrated and diluted oil samples of the same origin.…”
Section: Discussionsupporting
confidence: 77%
See 1 more Smart Citation
“…The goal of the clustering algorithm is to partition the objects into homogeneous groups, so the within-group similarities are large compared to similarities between the groups. The HCA results supported the results of PCA, in which concentrated essential oils samples extracted from the Lamiaceae family (samples [8][9][10][11][12][13][14][15][16] and from the Asteraceae family (samples 3-7) were close to each other according to the hierarchical clustering result. Thus, there is more similarity in spectra from the same botanical family than between spectra of the concentrated and diluted oil samples of the same origin.…”
Section: Discussionsupporting
confidence: 77%
“…The rational way is to separate chemical constituents and then quantify them by different chromatographic methods (gas chromatography, HPLC) coupled with mass spectrometric detection. Analytical methods, including gas chromatography (GC) [6,7], high-performance liquid chromatography (HPLC) [8,9], nuclear magnetic resonance (NMR) spectroscopy [10] and electroanalytical techniques [11], are widely used for the analysis and evaluation of the authenticity of consumable products, with excellent accuracy and precision. However, some of these methods suffer from long analysis times, high cost and lack of portable instrumentation that limit their wide application for routine control analysis.…”
Section: Introductionmentioning
confidence: 99%
“…NMR spectroscopy has been used for the quality control of foods in terms of monitoring stability (Alonso‐Salces, Holland, & Guillou, ; Guillen & Goicoechea, ; Lamanna, Piscioneri, Romanelli, & Sharma, ; Souza, Martínez, Ferreira, & Kaiser, ), storage history (Belloque et al., ; Fronimaki et al., ; Graham et al., ), packaging (Pentimalli et al., ), safety (Beer et al., ; Marchand et al., ; Monakhova, Kuballa, & Lachenmeier, ), evaluation of agronomic practices (Consonni et al., ; Gallo et al., ; Jahangir et al., ; Winning et al., ; Zhang, Breksa, Mishchuk, & Slupsky, ), and studying process‐induced effects (Alves Filho et al., ; García‐García, Lamichhane, Castejón, Cambero, & Bertram, ; Lopez‐Sanchez et al., ; Sinanoglou et al., ; Vermathen et al., ; Wakamatsu, Handa, & Chiba, ; Zoumpoulakis et al., ; Hwang et al, ). Characteristic examples of foods include fish (Erikson et al., ; Martinez et al., ; Tan et al, ), meat (Straadt, Aaslyng, & Bertram, ), spices (Cagliani, Culeddu, Chessa, & Consonni, ; Ordoudi et al., ), beverages (Almeida et al., ; Le Gall, Colquhoun, & Defernez, ; Spevacek, Benson, Bamforth, & Slupsky, ; Walch, Stühlinger, Lachenmeier, Monakhova, & Kuballa, 2012a), oils (Lucas‐Torres, Pérez, Cabañas, & Moreno, ), and dairy products (Maher & Rochfort, ; Shintu & Caldarelli, ). Recently, NMR, combined with statistical analysis, was used to determine the quality of salmon relating to its storage conditions (Shumilina, Dykyy, & Dikiy, ).…”
Section: Fundamentals Of Nmr Spectroscopy‐relevance To Food Sciencementioning
confidence: 99%
“…NMR spectroscopy in quality control, food processing and packaging NMR spectroscopy has been used for the quality control of foods in terms of monitoring stability (Alonso-Salces, Holland, & Guillou, 2011;Guillen & Goicoechea, 2009;Lamanna, Piscioneri, Romanelli, & Sharma, 2008;Souza, Martínez, Ferreira, & Kaiser, 2017), storage history (Belloque et al, 2001;Fronimaki et al, 2002;Graham et al, 2010), packaging (Pentimalli et al, 2000), safety (Beer et al, 2017;Marchand et al, 2018;Monakhova, Kuballa, & Lachenmeier, 2012a), evaluation of agronomic practices (Consonni et al, 2009;Gallo et al, 2014;Jahangir et al, 2008;Winning et al, 2009;Zhang, Breksa, Mishchuk, & Slupsky, 2011), and studying process-induced effects (Alves Filho et al, 2018;García-García, Lamichhane, Castejón, Cambero, & Bertram, 2018;Lopez-Sanchez et al, 2015;Sinanoglou et al, 2014;Vermathen et al, 2017;Wakamatsu, Handa, & Chiba, 2018;Zoumpoulakis et al, 2012;Hwang et al, 2017). Characteristic examples of foods include fish (Erikson et al, 2012;Martinez et al, 2005;Tan et al, 2017), meat (Straadt, Aaslyng, & Bertram, 2011), spices (Cagliani, Culeddu, Chessa, & Consonni, 2015;Ordoudi et al, 2015), beverages (Almeida et al, 2006;Le Gall, Colquhoun, & Defernez, 2004;…”
Section: Nmr In Food Authenticationmentioning
confidence: 99%
“…However, physical and chemical analysis methods are not accurate, require high degree technical expertise, and can only determine whether the sample is adulterated without finding out which specific component is adulterated. Spectral methods, e.g., Nuclear Magnetic Resonance Spectroscopy (NMR) [ 7 ], Raman [ 8 ], Fourier Transform Infrared (FTIR) [ 9 ], and Fluorescence [ 10 ], were shown to be useful for detection and quantification of adulteration in oil. However, their data analysis requires specialized software and complex algorithms which are difficult for common users to master.…”
Section: Introductionmentioning
confidence: 99%