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Compositional characterization of traditional medicinal plants: Chemo-metric approach

机译:传统药用植物的成分表征:化学计量学方法

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Indian literatures mention the use of plants in the treatment of various human ailments. Leaf, flower, fruit, bark root or pltablant as whole been claimed to possess medicinal properties. Though ample literature on therapeutic application of medicinal plants is available but data on the proximate composition of medicinal plants is very scarce. The study was undertaken to investigate the compositions of some common medicinal plants. The medicinal plant samples (seeds/steams/leaves) were analyzed for crude fiber, fat, moisture, protein, acid soluble and total ash content. The energy content of the samples was obtained using Atwater factors. The obtained data were evaluated using multivariate methods: Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA).
机译:印度文献提到使用植物治疗各种人类疾病。整体上声称叶,花,果实,树皮根或普拉布兰特具有药用特性。尽管可获得大量有关药用植物治疗应用的文献,但有关药用植物近邻成分的数据非常匮乏。进行该研究以调查一些常见药用植物的组成。分析药用植物样品(种子/蒸汽/叶子)的粗纤维,脂肪,水分,蛋白质,酸溶性和总灰分含量。使用Atwater因子获得样品的能量含量。使用多元方法评估获得的数据:主成分分析(PCA)和层次聚类分析(HCA)。

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