| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7640902 | Microchemical Journal | 2018 | 10 Pages |
Abstract
We present here the results of the imaging analysis of the entire corpus and the X-ray fluorescence (XRF) investigation performed, focusing on the XRF data and their statistical treatment using a combination of Principal Component Analysis (PCA) and Logistic Regression. Thanks to the broad XRF investigation - more than 200 data points - and to the multidisciplinary approach, we were able to discriminate the provenances of the paper - in particular for the German and Venetian volumes - and we potentially identified a chemical fingerprint of Venetian papers.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
F. Albertin, E. Balliana, G. Pizzol, G. Colavizza, E. Zendri, D. Raines,