Please report any queries concerning the funding data grouped in the
sections named
"Externally Awarded"
or
"Internally Disbursed"
(shown on the profile page) to your Research Finance Administrator.
Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php
by entering your department
Please report any queries concerning the student data shown on the
profile page to:
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Non-destructive collection survey of the historical Classense Library. Part I: Paper characterisation
-
Publication Type:Journal article
-
Publication Sub Type:Article
-
Authors:Brown N, Coppola F, Modelli A, Amicucci F, Lichtblau D, Strlič M
-
Publication date:02/09/2020
-
Journal:Heritage Science
-
Volume:8
-
Issue:1
-
Status:Accepted
-
Full Text URL:
Abstract
© 2020, The Author(s). An innovative survey was conducted of the collections of the historical Biblioteca Classense, located in the urban area of Ravenna (Northern Italy). The survey aimed to evaluate the current conservation state of the book collections, where 297 paper-based items, including incunabula, manuscripts and books, dating from the 14th to the 20th century, were selected for analysis. This innovative survey was carried out non-destructively by assessing degradation visually and by measuring NIR spectral data followed by multivariate data analysis. Chemical and physical paper properties, important for paper characterisation and implementation of conservation strategies were determined, including paper type, pH, degree of polymerisation (DP), tensile strength, lignin, protein, and rosin content. This survey provided a significant quantitative dataset for rag paper covering a 600-year period. The analysis of DP changes over time allowed the first experimental estimation of the rate constant for historical rag paper, i.e., (4.2 ± 0.6)·10−7 year−1, which was validated with predictions based on the Collections Demography dose response function for historic paper taking into account the past climate in Ravenna. Statistical methods were employed to describe the correlations between the measured variables and different features of the books, suggesting that the degree of polymerisation can be used as a general proxy for rag paper mechanical strength.
› More
search options
UCL Researchers