Literature DB >> 22959771

Differentiation of lipsticks by Raman spectroscopy.

Fatma Salahioglu1, Michael J Went.   

Abstract

Dispersive Raman spectra have been obtained using a Raman microscope and an excitation wavelength of 632.8 nm from 69 lipsticks of various colours and from a range of manufacturers without any pre-treatment of the samples. 10% of the samples were too fluorescent to give Raman spectra. 22% of the samples gave spectra which were unique to the brand and colour within the collected sample set. The remaining 68% of the samples gave spectra which could be classified into seven distinct groups. Discrimination of red lipsticks by this technique was the most difficult. The spectra of deposited lipstick samples remained unchanged over a period of a least a year.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Year:  2012        PMID: 22959771     DOI: 10.1016/j.forsciint.2012.08.018

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  Sex discrimination from urine traces for forensic purposes using attenuated total reflectance Fourier transform infrared spectroscopy and multivariate data analysis.

Authors:  Sweety Sharma; Harpreet Kaur; Rajinder Singh
Journal:  Int J Legal Med       Date:  2022-01-26       Impact factor: 2.791

2.  Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning.

Authors:  Katherine Ember; François Daoust; Myriam Mahfoud; Frédérick Dallaire; Esmat Zamani Ahmad; Trang Tran; Arthur Plante; Mame-Kany Diop; Tien Nguyen; Amélie St-Georges-Robillard; Nassim Ksantini; Julie Lanthier; Antoine Filiatrault; Guillaume Sheehy; Gabriel Beaudoin; Caroline Quach; Dominique Trudel; Frédéric Leblond
Journal:  J Biomed Opt       Date:  2022-02       Impact factor: 3.758

  2 in total

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