title: Pollen identification by Fourier transform infrared photoacoustic spectroscopy.
abstract: 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.
authors: Department of Chemistry, Saint Anselm College, Manchester, NH 03102, USA. gparodi@anselm.edu
authors: George
authors: G
authors: Parodi
authors: Pearl
authors: P
authors: Dickerson
authors: Jacqueline
authors: J
authors: Cloud
mesh_terms: D016000:Cluster Analysis; D010944:Plants / Q000737:chemistry* / Q000145:classification; D011058:Pollen / Q000737:chemistry* / Q000145:classification; D025341:Principal Component Analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*