UV spectral fingerprinting and analysis of variance-principal component analysis: a useful tool for characterizing sources of variance in plant materials
UV spectral fingerprinting and analysis of variance-principal component analysis: a useful tool for characterizing sources of variance in plant materials
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DOI：
10.1021/jf0734572
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发表时间：
2008-07-23
影响因子：
6.1
通讯作者：
Harnly, James A.
中科院分区：
文献类型：
--
作者：
Luthria, Devanand L.;Mukhopadhyay, Sudarsan;Harnly, James A.
紫外光谱指纹，结合方差-主成分分析（ANOVA-PCA），可以区分品种和生长条件（或处理），并可用于确定方差的来源。西兰花样品，由两个品种，生长在7个不同的条件或治疗（4个级别的富硒灌溉沃茨，有机农业，和传统农业与100和80%的灌溉作物蒸发和蒸腾速率的基础上）。用甲醇-水（60：40，v/v）提取冻干粉末样品，并在不进行预先分离的情况下进行分析。使用50倍稀释的提取物获得UV区域（220-380 nm）的光谱指纹图谱。方差分析-主成分分析被用来构建子集矩阵，允许容易验证的假设，品种和治疗有助于在西兰花的化学表达的差异。相同矩阵的平方和用于显示品种、处理和分析重复性分别贡献30.5%、68.3%和1.2%的方差。
UV spectral fingerprints, in combination with analysis of variance-principal components analysis (ANOVA-PCA), can differentiate between cultivars and growing conditions (or treatments) and can be used to identify sources of variance. Broccoli samples, composed of two cultivars, were grown under seven different conditions or treatments (four levels of Se-enriched irrigation waters, organic farming, and conventional farming with 100 and 80% irrigation based on crop evaporation and transpiration rate). Freeze-dried powdered samples were extracted with methanol-water (60:40, v/v) and analyzed with no prior separation. Spectral fingerprints were acquired for the UV region (220-380 nm) using a 50-fold dilution of the extract. ANOVA-PCA was used to construct subset matrices that permitted easy verification of the hypothesis that cultivar and treatment contributed to a difference in the chemical expression of the broccoli. The sums of the squares of the same matrices were used to show that cultivar, treatment, and analytical repeatability contributed 30.5, 68.3, and 1.2% of the variance, respectively.