2019
DOI: 10.1080/00032719.2019.1700270
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Characterization of Fatty Acids in Cereals and Oilseeds from the Republic of Serbia by Gas Chromatography – Mass Spectrometry (GC/MS) with Chemometrics

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Cited by 17 publications
(6 citation statements)
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“…Correspondence analysis (CA) and canonical correspondence analysis (CCA) were both performed using PAST soware (Natural History Museum, University of Oslo, Norway). 31,32 The correspondence analysis routine nds the eigenvalues and eigenvectors of a matrix containing the Chi-squared distances between all rows, i.e. investigated white horehound extracts.…”
Section: Multivariate Data Analysismentioning
confidence: 99%
“…Correspondence analysis (CA) and canonical correspondence analysis (CCA) were both performed using PAST soware (Natural History Museum, University of Oslo, Norway). 31,32 The correspondence analysis routine nds the eigenvalues and eigenvectors of a matrix containing the Chi-squared distances between all rows, i.e. investigated white horehound extracts.…”
Section: Multivariate Data Analysismentioning
confidence: 99%
“…In terms of the nutritional value of cereal lipids, the importance is well recognized of the relative high content of polyunsaturated fatty acids (PUFA) with different chain lengths, present in free form (free fatty acids) and the acylated forms of triacylglycerols (TAG), diacylglycerols (DAG) and, in relative minor amounts, the monoacylglycerols (MAG). As DAG and MAG, the presence of polyunsaturated sterol esters (SE), as well as sterols and stanols, reveals the high nutritional value of cereals [12,[14][15][16][17][18][19][20]. The extraction methods employed affect the quality of the resulting oil.…”
Section: Processing Of Cereals and The Derived By-productsmentioning
confidence: 99%
“…Proteins comprise 7-12% of cereals whereas lipids are minor compounds comprising ca. 1.7-5.7% (depending on the type of cereal and flour extraction rates) and are mainly formed by neutral, glyco-and phospholipids [11][12][13][14][15][16][17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…However, information on GC‐MS analysis of VOCs in pearl millet is scanty (Khan, 2017). Previous studies indicate the execution of GC‐MS analysis along with multivariate data analytical techniques, such as principal component analysis (PCA) and partial least square discriminant analysis (PLS‐DA), for the classification of VOCs in various cereal grains (Gao et al, 2021; Olsson et al, 2002; Pastor et al, 2020). Furthermore, assessing the VOCs by identifying the functional group also helps us know the extent of degradation in the stored products.…”
Section: Introductionmentioning
confidence: 99%