Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10332430 | Journal of Computational Science | 2014 | 5 Pages |
Abstract
The aim of our study was to investigate the intrinsic diversity of genus based on chemical composition of natural extracts of Cacalia, Dracocephalum, Jatropha, Saussurea and Senecio. Four rarefaction approaches (richness, Shannon's entropy, Simpson's diversity, and max-entropy) were implemented as an algorithm and run 10,000 times. Our results showed similar patterns of richness in natural compounds according to genus and of Simpson's diversity index while max-entropy has a similar pattern as Shannon's entropy. The analysis of both richness in active compounds and weight of most frequent extracted compound revealed that Dracocephalum genus is most suitable for propagation.
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Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Lorentz Jäntschi, Sorana D. BolboacÄ,