首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >A comparative study of volatile components in green, oolong and black teas by using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry and multivariate data analysis
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A comparative study of volatile components in green, oolong and black teas by using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry and multivariate data analysis

机译:全面二维气相色谱-飞行时间质谱法和多元数据分析对绿茶,乌龙茶和红茶中挥发性成分的比较研究

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摘要

The difference of volatile components in green, oolong and black teas was studied by using comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOFMS). Simultaneous distillation extraction was proved to be a suitable technique to extract the analytes with interest. A total of 450 compounds were tentatively identified with comparison to the standard mass spectra in available databases, retention index on the first dimension and structured chromatogram. 33 tea samples, including 12, 12 and 9 samples of green, oolong and black tea were analyzed by using GC × GC-TOFMS. After peak alignment, around 3600 peaks were detected. Partial least squares - discriminant analysis and hierarchical cluster analysis were used to classify these samples, then non-parametric hypothesis test (Mann-Whitney U test) and the variable importance in the projection (VIP) were applied to discover the key components to distinguish the three types of tea with significant difference amongst them. 74 differential compounds are defined to interpret the chemical differences of 3 types of tea. This study shows the power of GC × GC-TOFMS method combined with multivariate data analysis to investigate natural products with high complexity for information extraction.
机译:采用综合二维气相色谱-飞行时间质谱(GC×GC-TOFMS),研究了绿茶,乌龙茶和红茶中挥发性成分的差异。事实证明,同时蒸馏萃取是一种提取感兴趣的分析物的合适技术。通过与可用数据库中的标准质谱图,一维保留指数和结构色谱图进行比较,初步鉴定出总共450种化合物。使用GC×GC-TOFMS分析了33个茶样品,包括12、12和9个绿茶,乌龙茶和红茶样品。峰对齐后,检测到约3600个峰。使用偏最小二乘-判别分析和层次聚类分析对这些样本进行分类,然后使用非参数假设检验(Mann-Whitney U检验)和预测中的变量重要性(VIP)来发现关键要素,以区分三种类型的茶之间有显着差异。定义了74种差异化合物来解释3种茶的化学差异。这项研究显示了GC×GC-TOFMS方法与多变量数据分析相结合的强大功能,可以研究具有高复杂性的天然产物以进行信息提取。

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