Application of multi-way data analysis on excitation-emission spectra for plant identification

TitleApplication of multi-way data analysis on excitation-emission spectra for plant identification
Publication TypeJournal Article
Year of Publication2007
AuthorsObeidat S.M., Rayson G.D., Anderson D.M., Landau S.Y., Glasser T.
JournalTalanta
Volume72
Pagination682-690
Date PublishedApril 1, 2007
ARIS Log Number200414
Keywordsluminescence spectroscopy, multi-way principal component analysis (MPCA), parallell factor analysis (PARAFAC), phosphate buffered saline plant extracts
AbstractThe ability to distinguish among diets fed to Damascus goats using excitation-emission luminescence spectra was investigated. These diets consisted of Medicago sativa L. (Alfalfa), Trifolium spp (Clover), Pistacia lentiscus (P.lentiscus), Phyllirea latifolia (P.latifolia), and Pinus brutia (P. brutia). The three dimensional luminescence response surface from phosphate buffered saline extracts of each material was analyzed using muti-way analysis chemometric tools (MPCA) and parallel factor analysis (PARAFAC). Using three principle components, the spectra from each diet component was distinguished. Additionally, fecal samples from goats fed diets of either alfalfa or clover hays were investigated. The application of MPCA and PARAFAC to these samples using models derived from the pre-digested diet materials was strongly suggestive of the utility of similarly derive training samples for the elucidation of botanical diet composition for animals.
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