Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics

Lipstick can be an important piece of evidence in crimes like murders, rapes, and suicides. Due to its prevalence, it can be an important corroborative evidence in crime reconstruction. The analysis of such evidence can provide an evidentiary link between the suspect, the victim, object, or the crim...

Full description

Saved in:
Bibliographic Details
Main Authors: Khei, Lim Ka, Verma, Rajesh, Tan, Eva Lee Yin, Low, Kah Hin, Ismail, Dzulkiflee, Asri, Muhammad Naeim Mohamad
Format: Article
Published: Wiley 2023
Subjects:
Online Access:http://eprints.um.edu.my/38611/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaya
id my.um.eprints.38611
record_format eprints
spelling my.um.eprints.386112024-06-13T01:22:52Z http://eprints.um.edu.my/38611/ Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics Khei, Lim Ka Verma, Rajesh Tan, Eva Lee Yin Low, Kah Hin Ismail, Dzulkiflee Asri, Muhammad Naeim Mohamad R Medicine RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine Lipstick can be an important piece of evidence in crimes like murders, rapes, and suicides. Due to its prevalence, it can be an important corroborative evidence in crime reconstruction. The analysis of such evidence can provide an evidentiary link between the suspect, the victim, object, or the crime scene. We report the use of nondestructive ATR-FTIR spectroscopy combined with chemometrics for the classification of 10 brands of lipsticks with nine samples each. Chemometric method of partial least square-discriminant analysis (PLS-DA) has been employed to interpret the data and classify the samples into their respective classes. The PLS-DA model provides an AUC figure above 0.99 in all brands except one; for which it is slightly less at 0.94. We have also tested the traces of these lipstick samples on different substrates treating them as unknowns in the already trained PLS-DA model. 100% of the samples on nine substrates viz. a cotton, nylon, plastic, dry tissue, denim (blue jeans), wet tissue, nitrile gloves, white paper, and polyester were correctly attributed to their source brand. In conclusion, the results suggest that ATR-FTIR combined with the chemometrics is a rapid, nondestructive, and accurate method for the discrimination and source attribution of lipstick. This study has potential for use in actual forensic casework conditions. Wiley 2023-05 Article PeerReviewed Khei, Lim Ka and Verma, Rajesh and Tan, Eva Lee Yin and Low, Kah Hin and Ismail, Dzulkiflee and Asri, Muhammad Naeim Mohamad (2023) Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics. Journal of Forensic Sciences, 68 (3). pp. 1001-1008. ISSN 0022-1198, DOI https://doi.org/10.1111/1556-4029.15223 <https://doi.org/10.1111/1556-4029.15223>. 10.1111/1556-4029.15223
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine
RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
spellingShingle R Medicine
RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
Khei, Lim Ka
Verma, Rajesh
Tan, Eva Lee Yin
Low, Kah Hin
Ismail, Dzulkiflee
Asri, Muhammad Naeim Mohamad
Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
description Lipstick can be an important piece of evidence in crimes like murders, rapes, and suicides. Due to its prevalence, it can be an important corroborative evidence in crime reconstruction. The analysis of such evidence can provide an evidentiary link between the suspect, the victim, object, or the crime scene. We report the use of nondestructive ATR-FTIR spectroscopy combined with chemometrics for the classification of 10 brands of lipsticks with nine samples each. Chemometric method of partial least square-discriminant analysis (PLS-DA) has been employed to interpret the data and classify the samples into their respective classes. The PLS-DA model provides an AUC figure above 0.99 in all brands except one; for which it is slightly less at 0.94. We have also tested the traces of these lipstick samples on different substrates treating them as unknowns in the already trained PLS-DA model. 100% of the samples on nine substrates viz. a cotton, nylon, plastic, dry tissue, denim (blue jeans), wet tissue, nitrile gloves, white paper, and polyester were correctly attributed to their source brand. In conclusion, the results suggest that ATR-FTIR combined with the chemometrics is a rapid, nondestructive, and accurate method for the discrimination and source attribution of lipstick. This study has potential for use in actual forensic casework conditions.
format Article
author Khei, Lim Ka
Verma, Rajesh
Tan, Eva Lee Yin
Low, Kah Hin
Ismail, Dzulkiflee
Asri, Muhammad Naeim Mohamad
author_facet Khei, Lim Ka
Verma, Rajesh
Tan, Eva Lee Yin
Low, Kah Hin
Ismail, Dzulkiflee
Asri, Muhammad Naeim Mohamad
author_sort Khei, Lim Ka
title Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
title_short Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
title_full Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
title_fullStr Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
title_full_unstemmed Rapid and nondestructive analysis of lipstick on different substrates using ATR-FTIR spectroscopy and chemometrics
title_sort rapid and nondestructive analysis of lipstick on different substrates using atr-ftir spectroscopy and chemometrics
publisher Wiley
publishDate 2023
url http://eprints.um.edu.my/38611/
_version_ 1805881109851930624