The following is an abstract for the selected article. A PDF download of the full text of this article is available here. Members may download full texts at no charge. Non-members may be charged a small fee for certain articles.
Pollen Identification by Fourier Transform Infrared Photoacoustic Spectroscopy
Volume 67, Number 3 (March 2013) Page 342-348
GEORGE PARODI,* PEARL DICKERSON, and JACQUELINE CLOUD
Fourier transform infrared photoacoustic spectroscopy (FT-IR-PAS) has been applied to the problem of identifying pollen samples. One hundred measurements were made on a set of pollen samples comprising five families and ten species. Chemometric analysis of the resulting spectra showed evidence of clustering. Construction of a spectral library allowed pollens in the set to be correctly identified as the first match on the basis of photoacoustic spectra at the species (99%) or family (100%) level.
Index Headings: Pollen; Fourier transform infrared spectroscopy (FT-IR); Photoacoustic spectroscopy (PAS); FT-IR-PAS; Identification; Classification.