Discrimination of matches using ATR-FTIR spectroscopy and chemometrics
Matches are one of the trace evidence that could be encountered at the crime scenes of arson cases. Forensic analysis of matches may serve as crucial corroborating evidence to link the suspect to the crime scene or the victim. Nonetheless, matches evidence has been overlooked, due to presence of...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.usm.my/58499/1/NUR%20ADILA%20AZMAN-24%20pages.pdf http://eprints.usm.my/58499/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.usm.eprints.58499 |
---|---|
record_format |
eprints |
spelling |
my.usm.eprints.58499 http://eprints.usm.my/58499/ Discrimination of matches using ATR-FTIR spectroscopy and chemometrics Azman, Nur Adila QD71-142 Analytical chemistry Matches are one of the trace evidence that could be encountered at the crime scenes of arson cases. Forensic analysis of matches may serve as crucial corroborating evidence to link the suspect to the crime scene or the victim. Nonetheless, matches evidence has been overlooked, due to presence of other prominent evidence, often contaminated with other fire post-debris, and trace in quantity. Furthermore, there has been very limited research in the past on the analysis of matches for forensic applications. In the present study, a rapid, non-destructive, sensitive, and reliable analytical technique namely Attenuated Total Reflectance-Fourier Transform-Infrared (ATR-FTIR) spectroscopy has been utilised to differentiate 11 brands of matches samples. Principal Component Analysis- Linear Discriminant Analysis (PCA-LDA) was employed to generate objective interpretation of the results. The 95.8% accuracy of predictive PCA-LDA model was established with almost all matchstick, unburnt match head, and burnt match head correctly classified to their respective brands. The blind test was conducted with two unknown samples (pretended to be unknown to the analyst) in two different conditions, which were correctly link with their respective source. The current work demonstrated a quick, cost-effective, robust, and nondestructive method for differentiation of matches samples in forensic investigation. 2022-09 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/58499/1/NUR%20ADILA%20AZMAN-24%20pages.pdf Azman, Nur Adila (2022) Discrimination of matches using ATR-FTIR spectroscopy and chemometrics. Masters thesis, Universiti Sains Malaysia. |
institution |
Universiti Sains Malaysia |
building |
Hamzah Sendut Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Sains Malaysia |
content_source |
USM Institutional Repository |
url_provider |
http://eprints.usm.my/ |
language |
English |
topic |
QD71-142 Analytical chemistry |
spellingShingle |
QD71-142 Analytical chemistry Azman, Nur Adila Discrimination of matches using ATR-FTIR spectroscopy and chemometrics |
description |
Matches are one of the trace evidence that could be encountered at the crime
scenes of arson cases. Forensic analysis of matches may serve as crucial corroborating
evidence to link the suspect to the crime scene or the victim. Nonetheless, matches
evidence has been overlooked, due to presence of other prominent evidence, often
contaminated with other fire post-debris, and trace in quantity. Furthermore, there has
been very limited research in the past on the analysis of matches for forensic
applications. In the present study, a rapid, non-destructive, sensitive, and reliable
analytical technique namely Attenuated Total Reflectance-Fourier Transform-Infrared
(ATR-FTIR) spectroscopy has been utilised to differentiate 11 brands of matches
samples. Principal Component Analysis- Linear Discriminant Analysis (PCA-LDA)
was employed to generate objective interpretation of the results. The 95.8% accuracy
of predictive PCA-LDA model was established with almost all matchstick, unburnt
match head, and burnt match head correctly classified to their respective brands. The
blind test was conducted with two unknown samples (pretended to be unknown to the
analyst) in two different conditions, which were correctly link with their respective
source. The current work demonstrated a quick, cost-effective, robust, and nondestructive
method for differentiation of matches samples in forensic investigation. |
format |
Thesis |
author |
Azman, Nur Adila |
author_facet |
Azman, Nur Adila |
author_sort |
Azman, Nur Adila |
title |
Discrimination of matches using ATR-FTIR
spectroscopy and chemometrics |
title_short |
Discrimination of matches using ATR-FTIR
spectroscopy and chemometrics |
title_full |
Discrimination of matches using ATR-FTIR
spectroscopy and chemometrics |
title_fullStr |
Discrimination of matches using ATR-FTIR
spectroscopy and chemometrics |
title_full_unstemmed |
Discrimination of matches using ATR-FTIR
spectroscopy and chemometrics |
title_sort |
discrimination of matches using atr-ftir
spectroscopy and chemometrics |
publishDate |
2022 |
url |
http://eprints.usm.my/58499/1/NUR%20ADILA%20AZMAN-24%20pages.pdf http://eprints.usm.my/58499/ |
_version_ |
1768007891592151040 |
score |
13.211869 |