Submitted to: Talanta
Publication Type: Peer reviewed journal
Publication Acceptance Date: 11/29/2006
Publication Date: 4/1/2007
Citation: Obeidat, S.M., Glasser, T., Landau, S.Y., Anderson, D.M., Rayson, G.D. 2007. Application of multi-way data analysis on excitation-emission spectra for plant identification. Talanta. 72:682-690. Interpretive Summary: Fluorometry was used to investigate diets and feces of Damascus goats fed diets of herbaceous and woody plant material. Data from the subsequent excitation-emissiosn luminescence spectra of plants and feces were prepared and analysed. The data obtained were evaluated using chemometric tools, specifically Multiple Principal Component Analysis (MPCA). Preliminary results suggest this approach will have utility in determining the botanical composition of herbivory.
Technical Abstract: The 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 analyzed using multi-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.