The analytical data (five elemental concentrations plus refractive index) for 349 glass samples have been assessed for the purpose of glass classification by the application of multivariate statistical procedures. The requirements of a classification scheme for glass samples are discussed, & such a scheme for unknown samples presented. The use of this scheme to classify a glass sample involves a comparison of the glass analysis with a reference collection of analyses. By identifying glasses of a similar composition to the unknown it is possible in many cases to classify the sample as sheet, container, tableware, etc. The results are expressed as definite classifications, suggested classifications & unclassifiable. The classification scheme was assessed by means of a blind trial set up within the Met. Forensic Labs, with a success rate of 91%.
