title: Characterization and Discrimination of Plastic Materials Using Laser-Induced Fluorescence.
abstract: The most meaningful spectral components in laser-induced fluorescence (LIF) spectra for several different commercial plastics have been individuated and used to automatically discriminate among different plastic materials and between plastics and complex organic materials, such as woods. Starting from LIF measurements on known samples, a number of significant wavelengths have been identified by principal component analysis (PCA). These have been used to produce intensity ratios functional to the discrimination. Threshold values for such ratios have been individuated in order to obtain an automatic recognition of plastics. The work done has been preparatory to the design and development of a multispectral imaging LIF system for fast detection of plastic debris in a post-blast scene.
authors.affiliation: ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy valeria.spizzichino@enea.it.
authors.forename: Valeria
authors.initials: V
authors.lastname: Spizzichino
authors.affiliation: ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.
authors.forename: Luisa
authors.initials: L
authors.lastname: Caneve
authors.affiliation: ENEA - Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Colao
authors.affiliation: ENEA guest.
authors.forename: Ludovica
authors.initials: L
authors.lastname: Ruggiero
keywords: Laser-induced fluorescence (LIF); cluster analysis; plastics; polymers; principal component analysis (PCA)