Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Near-infrared spectroscopy and machine learning for accurate dating of historical books
ID
Coppola, Floriana
(
Author
),
ID
Frigau, Luca
(
Author
),
ID
Markelj, Jernej
(
Author
),
ID
Malešič, Jasna
(
Author
),
ID
Conversano, Claudio
(
Author
),
ID
Strlič, Matija
(
Author
)
PDF - Presentation file,
Download
(4,11 MB)
MD5: 0DA6F15D4CD45926A0991A4D700D05B1
URL - Source URL, Visit
https://pubs.acs.org/doi/10.1021/jacs.3c02835
Image galllery
Abstract
Non-destructive, fast, and accurate methods of dating are highly desirable for many heritage objects. Here, we present and critically evaluate the use of near-infrared (NIR) spectroscopic data combined with three supervised machine learning methods to predict the publication year of paper books dated between 1851 and 2000. These methods provide different accuracies; however, we demonstrate that the underlying processes refer to common spectral features. Regardless of the machine learning method used, the most informative wavelength ranges can be associated with C−H and O−H stretching first overtone, typical of the cellulose structure, and N−H stretching first overtone from amide/protein structures. We find that the expected influence of degradation on the accuracy of prediction is not meaningful. The variance-bias decomposition of the reducible error reveals some differences among the three machine learning methods. Our results show that two out of the three methods allow predictions of publication dates in the period 1851−2000 from NIR spectroscopic data with an unprecedented accuracy of up to 2 years, better than any other non-destructive method applied to a real heritage collection.
Language:
English
Keywords:
degradation
,
environmental modeling
,
infrared light
,
infrared spectroscopy
,
materials
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FKKT - Faculty of Chemistry and Chemical Technology
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
Str. 12305–12314
Numbering:
Vol. 145, iss. 22
PID:
20.500.12556/RUL-147235
UDC:
543.422.3-74:004:85:691.1
ISSN on article:
1520-5126
DOI:
10.1021/jacs.3c02835
COBISS.SI-ID:
153177603
Publication date in RUL:
27.06.2023
Views:
1112
Downloads:
57
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Journal of the American Chemical Society
Shortened title:
J. Am. Chem. Soc.
Publisher:
American Chemical Society
ISSN:
1520-5126
COBISS.SI-ID:
512805913
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
analizna kemija
,
strojno učenje
,
spektroskopija
,
infrardeča spektroskopija
,
datiranje
,
kulturna dediščina
,
knjige
Projects
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
101032212
Name:
Analytical Uncertainty of Quantitative Methods Based on IR-spectroscopy for Heritage Material Characterisation
Acronym:
UNCERTIR
Funder:
ARRS - Slovenian Research Agency
Project number:
I0-E012
Name:
Sofinanciranje izvajanja mednarodnega infrastrukturnega projekta E-RISH
Funder:
ARRS - Slovenian Research Agency
Project number:
J4-3085
Name:
Vplivi razgradnje lignina na materiale na papirni osnovi v skrajnih pogojih
Funder:
ARRS - Slovenian Research Agency
Project number:
N1-0271
Name:
ABC – materiali knjižne dediščine
Funder:
ARRS - Slovenian Research Agency
Project number:
P1-0153
Name:
Raziskave in razvoj analiznih metod in postopkov
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back