Comparison of Ultrasound-Assisted Extraction with Static Extraction as Pre-Processing Method Before Gas Chromatography Analysis of Cereal Lipids
Comparison of Ultrasound-Assisted Extraction with Static Extraction as Pre-Processing Method Before Gas Chromatography Analysis of Cereal Lipids
复制标题
超声辅助萃取与静态萃取作为谷物脂质气相色谱分析前预处理方法的比较
DOI：
10.1007/s12161-018-1304-0
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发表时间：
2018
影响因子：
2.9
通讯作者：
Daniel Cozzolino
中科院分区：
文献类型：
--
作者：
R. Gordon;James Chapman;James Chapman;A. Power;Shaneel Chandra;Jessica Roberts;Daniel Cozzolino
介绍了一种从谷物中提取脂肪酸的预处理方法。在气相色谱质谱（GCMS）分析大麦、高粱和玉米籽粒样品之前，将超声（超声处理）辅助提取与静态提取方法进行了比较。应用主成分分析（PCA）识别色谱数据中的模式，并根据提取处理（超声处理与静态处理）对样品进行分类。PCA的结果清楚地区分超声处理和静态样品。据观察，超声波辅助提取影响了谷物样品的色谱图，这是一个简化数据解释的因素。此外，结果表明，使用多变量技术，如主成分分析，以改善数据解释的能力。
A pre-processing method for the extraction of fatty acids from cereal grains is described. Ultrasound (sonication)-assisted extraction was compared to a static extraction method as the pre-processing method before gas chromatography mass spectrometry (GCMS) analysis of barley, sorghum and corn grain samples. Principal component analysis (PCA) was applied to identify patterns in the chromatographic data and classify the samples based on the extraction treatment (sonication vs static). The results of the PCA clearly distinguish between the sonication and static samples. It was observed that the ultrasound-assisted extraction impacted the chromatographs of the grain samples, a factor which simplifies the interpretation of the data. In addition, the results showed the ability of using multivariate technique such as PCA to improve data interpretation.