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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 (May 2016) DOI: /j.forsciint Copyright © Terms and Conditions
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Fig. 1 Mean δ18OVSMOW (‰) values of 123 virgin pulp papers collected from Australia and New Zealand. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 2 Mean δ18OVSMOW (‰) values of 123 virgin pulp papers separated by region of production, determined from ream packaging. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 3 Mean δ18OVSMOW (‰) values of Australian paper samples collected over time, plotted in order of their packing date. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 4 Mean δ18OVSMOW (‰) values for seven different brands measured during homogeneity and sampling tests. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 5 Boxplots of δ18OVSMOW (‰) values for single ream homogeneity.
Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 6 Standard deviation values (‰) for homogeneity and sampling test. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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Fig. 7 (a–g) Boxplots denoting the mean δ18OVSMOW (‰) and standard deviation (‰) for seven reams from seven different brands. Forensic Science International , DOI: ( /j.forsciint ) Copyright © Terms and Conditions
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