Multivariate analysis for forensic characterization, discrimination, and classification of marker pen inks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F18%3A43913942" target="_blank" >RIV/62156489:43410/18:43913942 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1080/00387010.2018.1452265" target="_blank" >https://doi.org/10.1080/00387010.2018.1452265</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/00387010.2018.1452265" target="_blank" >10.1080/00387010.2018.1452265</a>
Alternative languages
Result language
angličtina
Original language name
Multivariate analysis for forensic characterization, discrimination, and classification of marker pen inks
Original language description
The multivariate analysis methods have recently gained high popularity within the field of forensic sciences because of their high accuracy and precision. The accurate and unbiased results are the preliminary need for a forensic investigation. The aim of the present work is to examine the marker pen inks which are widely used in various places like documentation in parcels, for photograph attestation, and also as a study material in the classroom. This research is focused on the three important aspects; first is to characterize the marker inks, second, to discriminate permanent marker and whiteboard marker inks using destructive (extracting of ink samples from paper substrate) and nondestructive (without ink extraction) techniques of ultraviolet-visible absorbance combined with peak identification examination as well as chemometric methods, and the third is to build a classification model for permanent and whiteboard marker inks. It is concluded that the chemometric method, that is, principal component analysis provides better discrimination power as compared to visual examination. However, destructive and nondestructive approaches give almost similar discriminating power. The classification model developed using linear discriminant analysis provides 87.5% of correct classification of marker ink samples. The method can further be used to formulate a statistical model for the determination of class/group of the other forensic exhibits.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Spectroscopy Letters
ISSN
0038-7010
e-ISSN
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Volume of the periodical
51
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
205-215
UT code for WoS article
000434448500001
EID of the result in the Scopus database
2-s2.0-85048340102