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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• 作者：Devanand L. Luthria ; Sudarsan Mukhopadhyay ; Rebecca J. Robbins ; John W. Finley ; Gary S. Banuelos ; James M. Harnly
• 刊名：Journal of Agricultural and Food Chemistry
• 出版年：2008
• 出版时间：July 23, 2008
• 年：2008
• 卷：56
• 期：14
• 页码：5457 - 5462
• 全文大小：371K
• 年卷期：v.56,no.14(July 23, 2008)
• ISSN：1520-5118

文摘

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.