The forensic analysis of office paper using oxygen isotope ratio mass spectrometry. Part 1: Understanding the background population and homogeneity of paper for the comparison and discrimination of samples Kylie Jones, Sarah Benson, Claude Roux Forensic Science International Volume 262, Pages 97-107 (May 2016) DOI: 10.1016/j.forsciint.2016.02.035 Copyright © 2016 Terms and Conditions
Fig. 1 Mean δ18OVSMOW (‰) values of 123 virgin pulp papers collected from Australia and New Zealand. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 2 Mean δ18OVSMOW (‰) values of 123 virgin pulp papers separated by region of production, determined from ream packaging. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 3 Mean δ18OVSMOW (‰) values of Australian paper samples collected over time, plotted in order of their packing date. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 4 Mean δ18OVSMOW (‰) values for seven different brands measured during homogeneity and sampling tests. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 5 Boxplots of δ18OVSMOW (‰) values for single ream homogeneity. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 6 Standard deviation values (‰) for homogeneity and sampling test. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions
Fig. 7 (a–g) Boxplots denoting the mean δ18OVSMOW (‰) and standard deviation (‰) for seven reams from seven different brands. Forensic Science International 2016 262, 97-107DOI: (10.1016/j.forsciint.2016.02.035) Copyright © 2016 Terms and Conditions