On the discrimination between facial creams of different brands using Raman Spectroscopy and partial least squares discriminant analysis for forensic application

Asri, Muhammad; Verma, Rishabh; Ibrahim, Muhammad Haffizzan; Nor, Nor Azman Mohd; Sharma, Vishal; Ismail, Dzulkiflee

doi:10.1016/j.scijus.2021.08.006

Cited by 11 publications

(7 citation statements)

References 25 publications

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“…PLS‐DA is used for the discrimination and classification of spectral data [20–26]. PLS‐DA transforms the original spectral variables to latent variables of lesser dimensions than the original data.…”

Section: Methodsmentioning

confidence: 99%

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

Khei

Verma

Tan

et al. 2023

Journal of Forensic Sciences

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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.

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Section: Methodsmentioning

confidence: 99%

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

Khei

Verma

Tan

et al. 2023

Journal of Forensic Sciences

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“…Asri et al analyzed 40 types of facial cream (from eight brands) and classified the samples using PLD-DA. 91 They determined that the common components of the makeup included oxides, titanium dioxide, castor seed oil, and beeswax. PCA modeling showed that, based on the source brand, the samples clustered into eight different segments.…”

Section: T H Imentioning

confidence: 99%

“…Raman spectroscopy has also been used for analyzing facial creams. Asri et al analyzed 40 types of facial cream (from eight brands) and classified the samples using PLD-DA . They determined that the common components of the makeup included oxides, titanium dioxide, castor seed oil, and beeswax.…”

Section: Chemistry: Trace Evidencementioning

confidence: 99%

Innovative Vibrational Spectroscopy Research for Forensic Application

et al. 2023

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“…The same authors also used the aforementioned technique to discriminate fresh lipstick from different companies to study the effects of the wear time and the substrate onto which the lipstick was deposited . Furthermore, Raman spectroscopy and partial least squares discriminant analysis were utilized for the analysis of 40 facial creams from eight brands . However, creams, gels, and sera remain largely unexplored despite their common use by both sexes and various age groups.…”

Section: Introductionmentioning

confidence: 99%

“… 19 Furthermore, Raman spectroscopy and partial least squares discriminant analysis were utilized for the analysis of 40 facial creams from eight brands. 20 However, creams, gels, and sera remain largely unexplored despite their common use by both sexes and various age groups. Additionally, the transfer of such evidence through touching and handling can produce FMs that are contaminated with externally applied products, thereby enriching the evidential value of the discovery.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Nanoparticle-Based Surface-Assisted Laser Desorption/Ionization Mass Spectrometry for Cosmetics Detection in Contaminated Fingermarks: Magnetic Recovery and Surface Roughness

2022

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In this work, we propose a matrix-free approach for the analysis of fingermarks (FMs) contaminated with five cosmetic products containing different active pharmaceutical ingredients (APIs) using surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS). For this purpose, a magnetic SALDI substrate based on Fe3O4–CeO2 magnetic nanoparticles was prepared, characterized, and optimized for the analysis of contaminated FMs without sample pretreatment. Initially, groomed FM and cosmetic products were separately analyzed, and their major components were successfully detected. Subsequently, FMs contaminated with Ordinary serum and Skinoren, Dermovate, Bepanthen, and Eucerin creams were analyzed, and components of FM and cosmetics were detected. The stability of the cosmetics in FMs was studied over an interval of 28 days, and all components showed good stability in FM for 4 weeks. Recovery of contaminated FMs from different surfaces utilizing a few microliters of the magnetic substrate was carried out using a simple external magnetic field from ceramic, plastic, metal, and glass. Successful retrieval of the API and FM components was achieved with magnetic recovery, and glass exhibited the best recovery, whereas ceramic tile demonstrated the lowest recovery. This was supported by atomic force microscopy study, which revealed that the ceramic surface had higher roughness than the other surfaces employed in this study, which adversely affected the magnetic maneuvering. This proof-of-concept investigation extends the application of SALDI-MS in forensic analysis of contaminated FMs by exploring cosmetics as exogenous materials and their stability and recovery from different surfaces.

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On the discrimination between facial creams of different brands using Raman Spectroscopy and partial least squares discriminant analysis for forensic application

Cited by 11 publications

References 25 publications

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

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

Innovative Vibrational Spectroscopy Research for Forensic Application

Magnetic Nanoparticle-Based Surface-Assisted Laser Desorption/Ionization Mass Spectrometry for Cosmetics Detection in Contaminated Fingermarks: Magnetic Recovery and Surface Roughness

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