2019
DOI: 10.1016/j.jcs.2019.102845
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The fatty acid and triacylglycerol profiles of conventionally and organically produced grains of maize, spelt and buckwheat

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Cited by 25 publications
(12 citation statements)
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“…Similar data for fat content on various buckwheat flour fractions were reported in some studies [24,50]. Most lipids in buckwheat seeds are located in the embryo and seed coat, followed by the pericarp and endosperm [51]. According to Ahmed et al (2014) [46], the total lipid content in buckwheat grains ranged from 2.8% to 3.4%, while Dziadek et al (2016) [19] found a significantly lower lipid content in whole common buckwheat grain samples (1.72%-2.24%), a variation that can be attributed to the crop genetics and growing condition.…”
Section: Buckwheat Milling Fractions Compositionsupporting
confidence: 84%
“…Similar data for fat content on various buckwheat flour fractions were reported in some studies [24,50]. Most lipids in buckwheat seeds are located in the embryo and seed coat, followed by the pericarp and endosperm [51]. According to Ahmed et al (2014) [46], the total lipid content in buckwheat grains ranged from 2.8% to 3.4%, while Dziadek et al (2016) [19] found a significantly lower lipid content in whole common buckwheat grain samples (1.72%-2.24%), a variation that can be attributed to the crop genetics and growing condition.…”
Section: Buckwheat Milling Fractions Compositionsupporting
confidence: 84%
“…The outlier treatment by replacing the outlier with the mean of each parameter (Berg et al, 2006) decreased the PCA's dataset distortion. However, previous research had never performed the outlier treatment before the PCA, which analyzed TAGs and thermal properties (Golijan et al, 2019). Post outlier treatment of the BWP, the new dataset was also subjected to dataset normalization prior to the PCA 3 Means with different superscript letter are significantly different (p < 0.05)…”
Section: Outlier Treatmentmentioning
confidence: 99%
“…The outlier treatment by replacing the outlier with the mean of each parameter (Berg et al, 2006) decreased the PCA's dataset distortion. However, previous research had never performed the outlier treatment before the PCA, which analysed TAGs and thermal properties (Golijan et al, 2019). Post outlier treatment of the BWP, the new dataset was also subjected to dataset normalization prior to the PCA.…”
Section: Outlier Treatmentmentioning
confidence: 99%