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利用紫外光谱指纹测定干豆化学成分的差异。

Variance in the chemical composition of dry beans determined from UV spectral fingerprints.

机构信息

Food Composition and Methods Development Laboratory, Beltsville Human Nutrition Research Center, US Department of Agriculture, Beltsville, Maryland 20705-3000, USA.

出版信息

J Agric Food Chem. 2009 Oct 14;57(19):8705-10. doi: 10.1021/jf900852y.

DOI:10.1021/jf900852y
PMID:19731933
Abstract

Nine varieties of dry beans representing five market classes were grown in three locations (Maryland, Michigan, and Nebraska), and subsamples were collected for each variety (row composites from each plot). Aqueous methanol extracts of ground beans were analyzed in triplicate by UV spectrophotometry. Analysis of variance-principal component analysis was used to quantify the relative variance arising from location, variety, between rows of plants, and analytical uncertainty and to test the significance of differences in the chemical composition. Statistically significant differences were observed between all three locations, between all nine varieties, and between rows for each variety. PCA score plots placed the nine varieties in four categories that corresponded with known taxonomic groupings: (1) black beans (cv. Jaguar and cv. T-39), (2) pinto beans (cv. Buster and cv. Othello), (3) small red beans (cv. Merlot), and (4) great northern (cv. Matterhorn and cv. Weihing) and navy (cv. Seahawk and cv. Vista) beans. The relative plant-to-plant variance, estimated from the between row variance, was 71-79% for 25-40 plants per row.

摘要

九种不同的干豆代表了五个市场类别,在三个地点(马里兰州、密歇根州和内布拉斯加州)种植,并为每个品种采集了亚样本(每个地块的行综合样本)。对磨碎的豆的水甲醇提取物进行了三重紫外分光光度分析。方差分析-主成分分析用于量化来自地点、品种、行间和分析不确定性的相对方差,并测试化学成分差异的显著性。所有三个地点之间、所有九个品种之间以及每个品种的行间都观察到了统计学上的显著差异。主成分分析得分图将九个品种分为四个类别,与已知的分类群相对应:(1)黑豆(Jaguar 和 T-39 品种),(2)斑豆(Buster 和 Othello 品种),(3)小红豆(Merlot 品种),和(4)大北方(Matterhorn 和 Weihing 品种)和海军豆(Seahawk 和 Vista 品种)。从行间方差估计的相对植物间方差为每行 25-40 株的 71-79%。

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