کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
107425 161765 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Discrimination of document paper by XRF, LA–ICP–MS and IRMS using multivariate statistical techniques
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Discrimination of document paper by XRF, LA–ICP–MS and IRMS using multivariate statistical techniques
چکیده انگلیسی

The purpose of this study was to evaluate the potential of inorganic analysis techniques for the discrimination of document (multipurpose office) paper. A set of 25 different multipurpose office papers from the European market was used for comparison. It appeared that for the single techniques LA–ICP–MS had the highest overall discriminating power. Despite its lower sensitivity, XRF also showed good discriminating power but the correlation with LA–ICP–MS is high. The combination of LA–ICP–MS and IRMS provides a powerful and strongly discriminating set of techniques.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Science & Justice - Volume 49, Issue 2, June 2009, Pages 120–126
نویسندگان
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