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首页> 外文期刊>Analytical Letters >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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Characterization of Fatty Acids in Cereals and Oilseeds from the Republic of Serbia by Gas Chromatography – Mass Spectrometry (GC/MS) with Chemometrics

机译:塞尔维亚共和国气相色谱 - 质谱法与化学计量学

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This study investigates the potential of fatty acid profiles of various industrial crops to discriminate them based on their botanical origin. All of the analyzed plants were grown on experimental fields at Rimski ?an?evi, Republic of Serbia. Cereal samples (corn, wheat, barley, and oat) were milled into flour and lipid fractions were extracted using n-hexane. Lipid fractions of oilseed samples (rape, flax, safflower, and pumpkin) were obtained by mechanical pressing. The fatty acids present in lipid fractions, were derivatized into corresponding volatile methyl esters (FAMEs) and determined on a gas chromatography/mass spectrometry instrument (GC-MS). Peaks of eluting compounds were simultaneously identified using mass spectra libraries, giving a match quality of over 90%. The peaks of molecular ions of methyl esters of 9 dominant fatty acids were extracted, and their abundances used to create numerical matrices for further data processing. Chemometric multivariate data analysis tools—principal component analysis (PCA), cluster analysis (CA), principal coordinate analysis (PCoA) and linear discriminant analysis (LDA), were used to extract significant variables, visualize discriminations, and classify between analyzed plant samples. The applied tools demonstrated separations of analyzed cereals in three groups: corn, oat and the samples of small grains—wheat and barley. In the case of oilseeds a clear separation between all four plant species was obtained. This work represents a new concept of the application of fatty acid analysis in developing authentication methods for industrial crops and their staple food products.
机译:本研究研究了各种工业作物的脂肪酸谱的潜力,以基于植物来源区分它们。所有分析的植物都在RIMSKI的实验领域种植了?一个?EVI,塞尔维亚共和国。将谷物样品(玉米,小麦,大麦和OAT)研磨成面粉,并使用正己烷提取脂质级分。通过机械压制获得油籽样品(强奸,亚麻,红花和南瓜)的脂质级分。脂质级分中存在的脂肪酸衍生成相应的挥发性甲基酯(FAME)并在气相色谱/质谱仪(GC-MS)上。使用质谱库同时鉴定洗脱化合物的峰,使匹配质量超过90%。提取9种显性脂肪酸的甲酯的分子离子的峰,以及它们用于产生数值矩阵的丰度以进行进一步的数据处理。化学计量多变量数据分析工具 - 主成分分析(PCA),聚类分析(CA),主坐标分析(PCOA)和线性判别分析(LDA)用于提取显着的变量,可视化鉴别,并在分析的植物样品之间进行分类。应用工具证明了三组分析的谷物分析:玉米,燕麦和小谷物和大麦的样品。在油籽的情况下,获得了所有四种植物物种之间的清晰分离。这项工作代表了脂肪酸分析在制定工业作物及其主食的识别方法中应用脂肪酸分析的新概念。

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