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Licensed Unlicensed Requires Authentication Published by De Gruyter September 20, 2018

Forensics: evidence examination via Raman spectroscopy

  • Marisia A. Fikiet , Shelby R. Khandasammy , Ewelina Mistek , Yasmine Ahmed , Lenka Halámková , Justin Bueno and Igor K. Lednev EMAIL logo
From the journal Physical Sciences Reviews


Forensic science can be broadly defined as the application of any of the scientific method to solving a crime. Within forensic science there are many different disciplines, however, for the majority of them, five main concepts shape the nature of forensic examination: transfer, identification, classification/individualization, association, and reconstruction. The concepts of identification, classification/individualization, and association rely greatly on analytical chemistry techniques. It is, therefore, no stretch to see how one of the rising stars of analytical chemistry techniques, Raman spectroscopy, could be of use. Raman spectroscopy is known for needing a small amount of sample, being non-destructive, and very substance specific, all of which make it ideal for analyzing crime scene evidence. The purpose of this chapter is to show the state of new methods development for forensic applications based on Raman spectroscopy published between 2015 and 2017.

Funding statement: This project was supported by Award No. 2014-DN-BX-K016 and Award No. 2016-DN-BX–0166 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect those of the U.S. Department of Justice.


[1] Inman K, Rudin N. Chapter 3: overview- A unifying Paradigm of Forensic Science. In: principles and Practice of Criminalistics. Boca Raton FL: CRC Press LLC, 2001.Search in Google Scholar

[2] Commitee on Identifying the Needs of the Forensic Sciences Commmunity. Strengthening Forensic Science in the United States: A Path Forward. National Academy of Science, 2009.Search in Google Scholar

[3] Doty KC, Muro CK, Bueno J, Halámková L, Lednev IK. What can Raman spectroscopy do for criminalistics?. J Raman Spectrosc. 2016;47:39–50.10.1002/jrs.4826Search in Google Scholar

[4] Muro CK, Doty KC, Bueno J, Halámková L, Lednev IK. Vibrational spectroscopy: recent developments to revolutionize forensic science. Anal Chem. 2015;87:306–27.10.1021/ac504068aSearch in Google Scholar PubMed

[5] Doty KC, Lednev IK. Raman spectroscopy for forensic purposes: recent application for serology and gunshot residue. Trends Anal Chem. 2017. DOI: 10.1016/j.trac.2017.12.003Search in Google Scholar

[6] Salahioglu F, Went MJ, Gibson SJ. Application of Raman spectroscopy for the differentiation of lipstick traces. Anal Methods. 2013;5:5392–401.10.1039/c3ay41274aSearch in Google Scholar

[7] Mohamad Asri MN, Mat Desa WNS, Ismail D. Raman spectroscopy of ballpoint-pen inks using chemometric techniques. Aust J Forensic Sci. 2017;49:175–85.10.1080/00450618.2016.1153712Search in Google Scholar

[8] Mistek E, Halámková L, Doty KC, Muro CK, Lednev IK. Race differentiation by Raman spectroscopy of a bloodstain for forensic purposes. Anal Chem. 2016;88:7453–56.10.1021/acs.analchem.6b01173Search in Google Scholar PubMed

[9] Muro CK, Doty KC, De Souza Fernandes L, Lednev IK. Forensic body fluid identification and differentiation by Raman spectroscopy. Forensic Chem. 2016;1:31–8.10.1016/j.forc.2016.06.003Search in Google Scholar

[10] Doty KC, McLaughlin G, Lednev IK, Raman A. “spectroscopic clock” for bloodstain age determination: the first week after deposition. Anal Bioanal Chem. 2016;408:3993–4001.10.1007/s00216-016-9486-zSearch in Google Scholar PubMed

[11] Doty KC, Muro CK, Lednev IK. Predicting the time of the crime: bloodstain aging estimation for up to two years. Forensic Chem. 2017;5:1–7.10.1016/j.forc.2017.05.002Search in Google Scholar

[12] Li R. Forensic serology. In: Kobilinsky LF, editor. Forensic chemistry handbook. 1st ed. Hoboken, N.J.: John Wiley & Sons, 2012:269–90.10.1002/9781118062241.ch8Search in Google Scholar

[13] Rinke-Kneapler CN, Sigman ME. Applications of laser spectroscopy in forensic science. In: Baudelet M, editor. Laser spectroscopy for sensing: fundamentals, techniques and applications. Cambridge, UK: Woodhead Publishing, 2014:461–95.10.1533/9780857098733.3.461Search in Google Scholar

[14] Virkler K, Lednev IK. Raman spectroscopy offers great potential for the nondestructive confirmatory identification of body fluids. Forensic Sci Int. 2008;181:e1–e5.10.1016/j.forsciint.2008.08.004Search in Google Scholar PubMed

[15] Virkler K, Lednev IK. Raman spectroscopic signature of semen and its potential application to forensic body fluid identification. Forensic Sci Int. 2009;193:56–62.10.1016/j.forsciint.2009.09.005Search in Google Scholar PubMed

[16] Virkler K, Lednev IK. Raman spectroscopic signature of blood and its potential application to forensic body fluid identification. Anal Bioanal Chem. 2010;396:525–34.10.1007/s00216-009-3207-9Search in Google Scholar PubMed

[17] Virkler K, Lednev IK. Forensic body fluid identification: the Raman spectroscopic signature of saliva. Analyst. 2010;135:512–17.10.1039/B919393FSearch in Google Scholar PubMed

[18] Sikirzhytski V, Sikirzhytskaya A, Lednev IK. Multidimensional Raman spectroscopic signature of sweat and its potential application to forensic body fluid identification. Anal Chim Acta. 2012;718:78–83.10.1016/j.aca.2011.12.059Search in Google Scholar PubMed

[19] Sikirzhytskaya A, Sikirzhytski V, Lednev IK. Raman spectroscopic signature of vaginal fluid and its potential application in forensic body fluid identification. Forensic Sci Int. 2012;216:44–8.10.1016/j.forsciint.2011.08.015Search in Google Scholar PubMed

[20] Sikirzhytskaya A, Sikirzhytski V, Lednev IK. Raman spectroscopy coupled with advanced statistics for differentiating menstrual and peripheral blood. J Biophotonics. 2014;7:59–67.10.1002/jbio.201200191Search in Google Scholar PubMed

[21] McLaughlin G, Doty KC, Lednev IK. Raman spectroscopy of blood for species identification. Anal Chem. 2014;86:11628–33.10.1021/ac5026368Search in Google Scholar PubMed

[22] McLaughlin G, Sikirzhytski V, Lednev IK. Circumventing substrate interference in the Raman spectroscopic identification of blood stains. Forensic Sci Int. 2013;231:157–66.10.1016/j.forsciint.2013.04.033Search in Google Scholar PubMed

[23] McLaughlin G, Lednev IK. A modified Raman multidimensional spectroscopic signature of blood to account for the effect of laser power. Forensic Sci Int. 2014;240:88–94.10.1016/j.forsciint.2014.04.021Search in Google Scholar PubMed

[24] Zou Y, Xia P, Yang F, et al. Whole blood and semen identification using mid-infrared and Raman spectrum analysis for forensic applications. Anal Methods. 2016;8:3763–7.10.1039/C5AY03337CSearch in Google Scholar

[25] Feine I, Gafny R, Pinkas I. Combination of prostate-specific antigen detection and micro-Raman spectroscopy for confirmatory semen detection. Forensic Sci Int. 2017;270:241–7.10.1016/j.forsciint.2016.10.012Search in Google Scholar PubMed

[26] Atkins CG, Buckley K, Blades MW, Turner RFB. Raman spectroscopy of blood and blood components. Appl Spectrosc. 2017;71:767–93.10.1177/0003702816686593Search in Google Scholar PubMed

[27] Bai P, Wang J, Yin H, Tian Y, Yao W, Gao J. Discrimination of human and nonhuman blood by Raman spectroscopy and partial least squares discriminant analysis. Anal Lett. 2017;50:379–88.10.1080/00032719.2016.1176033Search in Google Scholar

[28] Muro CK, Lednev IK. Race differentiation based on Raman spectroscopy of semen traces for forensic purposes. Anal Chem. 2017;89:4344–8.10.1021/acs.analchem.7b00106Search in Google Scholar PubMed

[29] Sikirzhytskaya A, Sikirzhytski V, Lednev IK. Determining gender by Raman spectroscopy of a bloodstain. Anal Chem. 2017;89:1486–92.10.1021/acs.analchem.6b02986Search in Google Scholar PubMed

[30] Muro CK, De Souza Fernandes L, Lednev IK. Sex determination based on Raman spectroscopy of saliva traces for forensic purposes. Anal Chem. 2016;88:12489–93.10.1021/acs.analchem.6b03988Search in Google Scholar PubMed

[31] Muro CK, Lednev IK. Identification of individual red blood cells by Raman microspectroscopy for forensic purposes: in search of a limit of detection. Anal Bioanal Chem. 2017;409:287–93.10.1007/s00216-016-0002-2Search in Google Scholar PubMed

[32] United Nations Office on Drugs and Crime. World Drug Report 2017. 2017.Search in Google Scholar

[33] Drug Enforcement Administration. Drugs of Abuse: A DEA Resource Guide, 2017 ed. U.S. Department of Justice, 2017.Search in Google Scholar

[34] Assi S, Guirguis A, Halsey S, Fergus S, Stair JL. Analysis of ‘legal high’ substances and common adulterants using handheld spectroscopic techniques. Anal Methods. 2015;7:736–46.10.1039/C4AY02169JSearch in Google Scholar

[35] Penido CAFO, Pacheco MTT, Zângaro RA, Silveira L. Identification of Different Forms of Cocaine and Substances Used in Adulteration Using Near-infrared Raman Spectroscopy and Infrared Absorption Spectroscopy. J Forensic Sci. 2015;60:171–8.10.1111/1556-4029.12666Search in Google Scholar PubMed

[36] Bono JP. Criminalistcs: introduction to Controlled Substances. In: editor, Karch SB. Drug Abuse Handbook. 2nd ed. Boca Raton, FL: Taylor & Francis Group, LLC, 2006.Search in Google Scholar

[37] Rebiere H, Ghyselinck C, Lempereur L, Brenier C. Investigation of the composition of anabolic tablets using near infrared spectroscopy and Raman chemical imaging. Drug Test Anal. 2016;8:370–7.10.1002/dta.1843Search in Google Scholar PubMed

[38] Jones LE, Stewart A, Peters KL, et al. Infrared and Raman scattering of seized novel psychoactive substances: a large scale study of >200 samples. Analyst. 2016;141:902–9.10.1039/C5AN02326BSearch in Google Scholar PubMed

[39] Elie L, Elie M, Cave G, Vetter M, Croxton R, Baron M. Microcrystalline testing used in combination with Raman micro-spectroscopy for absolute identification of novel psychoactive substances. J Raman Spectrosc. 2016;47:1343–50.10.1002/jrs.4957Search in Google Scholar

[40] Mackey TK, Liang BA. The global counterfeit drug trade: patient safety and public health risks. J Pharm Sci. 2011;100:4571–9.10.1002/jps.22679Search in Google Scholar PubMed

[41] Rojek C. Counterfeit Commerce: relations of Production, Distribution and Exchange. Cult Sociol. 2017;11(1):28–43.10.1177/1749975516650233Search in Google Scholar

[42] Mukhopadhyay R. The hunt for counterfeit medicine. Anal Chem. 2007;79:2622–7.10.1021/ac071892pSearch in Google Scholar PubMed

[43] Aboul-Enein Y, Bunaciu AA, Fleschin S. Spectroscopic Analytical Methods for Detection of Counterfeit Pharmaceutical Preparations–A Mini-Review. Gazi Univ J Sci. 2013;26:407–17.Search in Google Scholar

[44] Loethen YL, Kauffman JF, Buhse LF, Rodriguez JD. Rapid screening of anti-infective drug products for counterfeits using Raman spectral library-based correlation methods. Analyst. 2015;140:7225–33.10.1039/C5AN01679GSearch in Google Scholar PubMed

[45] Kwok K, Taylor LS. Analysis of the packaging enclosing a counterfeit pharmaceutical tablet using Raman microscopy and two-dimensional correlation spectroscopy. Vib Spectrosc. 2012;61:176–82.10.1016/j.vibspec.2012.02.018Search in Google Scholar

[46] Molina DK. Chapter 2: methodology. In: Handbook of Forensic Toxicology for Medical Examiners. Boca Raton FL: Taylor & Francis Group LLC, 2009.Search in Google Scholar

[47] Kronstrand R, Jones AW. Drugs of Abuse/Analysis. In: Siegel J, Knupfer G, Saukko P, editors. Encyclopedia of Forensic Sciences. 2000:598–610.10.1006/rwfs.2000.0494Search in Google Scholar

[48] Bumbrah GS, Sharma RM. Raman spectroscopy – basic principle, instrumentation and selected applications for the characterization of drugs of abuse. Egypt J Forensic Sci. 2016;6:209–15.10.1016/j.ejfs.2015.06.001Search in Google Scholar

[49] D’Elia V, Montalvo G, Ruiz CG. Analysis of street cocaine samples in nasal fluid by Raman spectroscopy. Talanta. 2016;154:367–73.10.1016/j.talanta.2016.03.077Search in Google Scholar PubMed

[50] Bell S. Explosives. In: Forensic Chemistry, 2nded. Pearson Education Inc., 2013.Search in Google Scholar

[51] Zapata F, López-López M, García-Ruiz C. Detection and identification of explosives by surface enhanced Raman scattering. Appl Spectrscopy Rev. 2016;51:227–62.10.1080/05704928.2015.1118637Search in Google Scholar

[52] Zapata F, Fernández De La Ossa Á, Gilchrist E, Barron L, García-Ruiz C. Progressing the analysis of Improvised Explosive Devices: comparative study for trace detection of explosive residues in handprints by Raman spectroscopy and liquid chromatography. Talanta. 2016;161:219–27.10.1016/j.talanta.2016.05.057Search in Google Scholar PubMed

[53] Matyáš R, Lyčka A, Jirásko R, et al. Analytical Characterization of Erythritol Tetranitrate, an Improvised Explosive. J Forensic Sci. 2016;61:759–64.10.1111/1556-4029.13078Search in Google Scholar PubMed

[54] Zapata F, García-Ruiz C. Determination of Nanogram Microparticles from Explosives after Real Open-Air Explosions by Confocal Raman Microscopy. Anal Chem. 2016;88:6726–33.10.1021/acs.analchem.6b00927Search in Google Scholar PubMed

[55] Bueno J, Sikirzhytski V, Lednev IK. Raman Spectroscopic Analysis of Gunshot Residue Offering Great Potential for Caliber Differentiation. Anal Chem. 2012;84:4334–9.10.1021/ac203429xSearch in Google Scholar PubMed

[56] Bueno J, Lednev IK. Raman microspectroscopic chemical mapping and chemometric classification for the identification of gunshot residue on adhesive tape. Anal Bioanal Chem. 2014;406:4595–9.10.1007/s00216-014-7874-9Search in Google Scholar PubMed

[57] Bueno J, Lednev IK. Advanced statistical analysis and discrimination of gunshot residue implementing combined Raman and FT-IR data. Anal Methods. 2013;5:6292–6.10.1039/c3ay40721gSearch in Google Scholar

[58] López-López M, Fernández De La Ossa MÁ, García-Ruiz C. Fast Analysis of Complete Macroscopic Gunshot Residues on Substrates Using Raman Imaging. Appl Spectrosc. 2015;69:889–93.10.1366/14-07816Search in Google Scholar PubMed

[59] Giles A. Forensic examination of documents. In: White PC, editor. Crime scene to court: the essentials of forensic science, Fourth. editor Cambridge, UK: The Royal Society of Chemistry, 2016:229–59.10.1039/BK9781782624462-00229Search in Google Scholar

[60] Vos M, Strach S, Westwood S. Document analysis/handwriting. In: Siegel JA, Saukko PJ, editors. Encyclopedia of forensic sciences. Academic Press, 2000:584–90.10.1006/rwfs.2000.0475Search in Google Scholar

[61] Purdy DC. Document analysis/document dating. In: Siegel JA, Saukko PJ, editors. Encyclopedia of forensic sciences. Academic Press, 2000:570–80.10.1006/rwfs.2000.0483Search in Google Scholar

[62] Aginsky V. Document analysis/analytical methods. In: Siegel JA, Saukko PJ, editors. Encyclopedia of forensic sciences. Academic Press, 2000:566–70.10.1006/rwfs.2000.0477Search in Google Scholar

[63] Calcerrada M, García-Ruiz C. Analysis of questioned documents: a review. Anal Chim Acta. 2015;853:143–66.10.1016/j.aca.2014.10.057Search in Google Scholar PubMed

[64] Buzzini P, Suzuki E. Forensic applications of Raman spectroscopy for the in situ analyses of pigments and dyes in ink and paint evidence. J Raman Spectrosc. 2016;47:16–27.10.1002/jrs.4818Search in Google Scholar

[65] Nunkoo MI, Saib-Sunassy MB, Li Kam Wah H, Jhaumeer Laulloo S. Forensic analysis of black, blue, red, and green ballpoint pen inks. In: Ramasami P, Bhowon MG, Laulloo SJ, Wah HLK, editors. Crystallizing ideas–the role of chemistry. Springer; 2016. p. 323–39.10.1007/978-3-319-31759-5_21Search in Google Scholar

[66] Lee LC, Samad MIA, Ismail MAM. Nondestructive classification and identification of ballpoint pen inks by Raman spectroscopy for forensic document examinations. J Anal Chem. 2016;71:723–9.10.1134/S106193481607011XSearch in Google Scholar

[67] Mohamad Asri NM, Mat Desa WNS, Ismail D. Source determination of red gel pen inks using Raman spectroscopy and attenuated total reflectance Fourier transform infrared spectroscopy combined with pearson’s product moment correlation coefficients and principal component analysis. J Forensic Sci. 2018;63(1):285–91.10.1111/1556-4029.13522Search in Google Scholar PubMed

[68] Borba F, Jawhari T, Honorato RS, De Juan A. Confocal Raman imaging and chemometrics applied to solve forensic document examination involving crossed lines and obliteration cases by a depth profiling study. Analyst. 2017;142:1106–18.10.1039/C6AN02340ASearch in Google Scholar PubMed

[69] Huynh V, Williams KC, Golden TD, Verbeck GF. Investigation of falsified documents via direct analyte-probed nanoextraction coupled to nanospray mass spectrometry, fluorescence microscopy, and Raman spectroscopy. Analyst. 2015;140:6553–62.10.1039/C5AN01026HSearch in Google Scholar PubMed

[70] Johnson CE, Martin P, Roberts KA, et al. The capability of Raman microspectroscopy to differentiate printing inks. J Forensic Sci. 2018;63(1):66–79. DOI:.10.1111/1556-4029.13508Search in Google Scholar PubMed

[71] Chen R, Lv J, Feng J, Liu Y, Zhang W. Discrimination of seal inks used for seals by confocal Raman microscopy. Pigm Resin Technol. 2014;43:389–93.10.1108/PRT-10-2013-0096Search in Google Scholar

[72] Alves APP, De Oliveira LPZ, Castro AAN, et al. The structure of different cellulosic fibres characterized by Raman spectroscopy. Vib Spectrosc. 2016;86:324–30.10.1016/j.vibspec.2016.08.007Search in Google Scholar

[73] Zięba-Palus J, Wesełucha-Birczyńska A, Trzcińska B, Kowalski R, Moskal P. Analysis of degraded papers by infrared and Raman spectroscopy for forensic purposes. J Mol Struct. 2017;1140:154–62.10.1016/j.molstruc.2016.12.012Search in Google Scholar

[74] Bell S. Chemical Analysis of Materials. In: Forensic Chemistry, 2nd ed. Pearson Education, 2013.Search in Google Scholar

[75] Bentley J. Composition, Manufacture and Use of Paint. In: Caddy B, editor. Forensic Examination of Glass and Paint. Analysis and Interpretation CRC Press, 2001.10.1201/9780203483589.ch7Search in Google Scholar

[76] Maxwell VM. Forensic Examination of Trace Evidence. In: Forensic Science. Wiley-VCH Verlag GmbH & Co. KGaA, 2016:337–71.10.1002/9783527693535.ch15Search in Google Scholar

[77] Henson ML, Jergovich TA. Scanning electron microscopy and energy dispersive X-ray spectrometry (SEM/EDS) for the forensic examination of paints and coatings. In: Caddy B, editor. Forensic Examination of Glass and Paint. Analysis and Interpretation. CRC Press, 2001.Search in Google Scholar

[78] Forensic Examination of Glass and Paint. Analysis and Interpretation CRC Press, 2001.Search in Google Scholar

[79] Ferreira KB, Oliveira AGG, Gomes JA. Raman spectroscopy of automotive paints: forensic analysis of variability and spectral quality. Spectrosc Lett. 2017;50:102–10.10.1080/00387010.2017.1288635Search in Google Scholar

[80] Chen R, Lv J, Feng J. Characterization of Paint by Fourier-Transform Infrared Spectroscopy, Raman Microscopy, and Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy. Anal Lett. 2015;48:1502–10.10.1080/00032719.2014.984190Search in Google Scholar

[81] Lv JG, Liu S, Feng JM, Liu Y, Zhou SD, Chen R. Effective identification of paints pigments in hit-and-run cases with confocal Raman microscope. Pigment Resin Technol. 2016;45:294–300.10.1108/PRT-05-2015-0044Search in Google Scholar

[82] Lv J, Zhang W, Liu S, et al. Analysis of 52 sutomotive couting samples for forensic purposes with Fourier transform infrared spectroscopy (FTIR) and Raman microscopy. Environ Forensics. 2016;17:59–67.10.1080/15275922.2015.1091403Search in Google Scholar

[83] Martyna A, Michalska A, Zadora G. Interpretation of FTIR spectra of polymers and Raman spectra of car paints by means of likelihood ratio approach supported by wavelet transform for reducing data dimensionality. Anal Bioanal Chem. 2015;407:3357–76.10.1007/s00216-015-8558-9Search in Google Scholar PubMed

[84] Michalska A, Martyna A, Zięba-Palus J, Zadora G. Application of a likelihood ratio approach in solving a comparison problem of Raman spectra recorded for blue automotive paints. J Raman Spectrosc. 2015;46:772–83.10.1002/jrs.4719Search in Google Scholar

[85] Ziȩba-Palus J, Michalska A. Photobleaching as a useful technique in reducing of fluorescence in Raman spectra of blue automobile paint samples. Vib Spectrosc. 2014;74:6–12.10.1016/j.vibspec.2014.06.007Search in Google Scholar

[86] Centeno SA. Identification of artistic materials in paintings and drawings by Raman spectroscopy: some challenges and future outlooks. J Raman Spectrosc. 2016;47:9–15.10.1002/jrs.4767Search in Google Scholar

[87] Soggett R. Art crime: fraud and forensics. Aust J Forensic Sci. 2015;47:253–59.10.1080/00450618.2014.957348Search in Google Scholar

[88] Yu J, Butler IS. Recent applications of infrared and Raman spectroscopy in art forensics: A brief overview. Appl Spectrosc Rev. 2015;50:152–7.10.1080/05704928.2014.949733Search in Google Scholar

[89] Chaplin TD, Clark RJH. Identification by Raman microscopy of anachronistic pigments on a purported Chagall nude: conservation consequences. Appl Phys A Mater Sci Process. 2016;122:1–5.10.1007/s00339-016-9644-3Search in Google Scholar

[90] Edwards HGM, Vandenabeele P, Benoy TJ. Raman spectroscopic study of “the Malatesta”: A Renaissance painting?. Spectrosc Acta A Mol Biomol Spectrosc. 2015;137:45–49.10.1016/j.saa.2014.07.047Search in Google Scholar PubMed

[91] Hibberts S, Edwards HGM, Abdel-Ghani M, Vandenabeele P. Raman spectroscopic analysis of a ‘noli me tangere’ painting. Philosl Trans Royal Soc A Mathemat Phys Eng Sci. 2016;374:10.10.1098/rsta.2016.0044Search in Google Scholar PubMed

[92] De Faria DLA, Edwards HGM, Careaga V, Walt N, Maier MS. A definitive analytical spectroscopic study of Indian yellow, an ancient pigment used for dating purposes. Forensic Sci Int. 2017;271:1–7.10.1016/j.forsciint.2016.11.037Search in Google Scholar PubMed

[93] Pozzi F, Zaleski S, Casadio F, Van Duyne RP. SERS Discrimination of Closely Related Molecules: A Systematic Study of Natural Red Dyes in Binary Mixtures. J Phys Chem C. 2016;120:21017–26.10.1021/acs.jpcc.6b03317Search in Google Scholar

[94] Lambert D, Muehlethaler C, Esseiva P, Massonnet G. Combining spectroscopic data in the forensic analysis of paint: application of a multiblock technique as chemometric tool. Forensic Sci Int. 2016;263:39–47.10.1016/j.forsciint.2016.03.049Search in Google Scholar PubMed

[95] Jost C, Muehlethaler C, Massonnet G. Forensic aspects of the weathering and ageing of spray paints. Forensic Sci Int. 2016;258:32–40.10.1016/j.forsciint.2015.11.001Search in Google Scholar PubMed

[96] Germinario G, Van Der Werf ID, Sabbatini L. Chemical characterisation of spray paints by a multi-analytical (Py/GC–MS, FTIR, μ-Raman) approach. Microchem J. 2016;124:929–39.10.1016/j.microc.2015.04.016Search in Google Scholar

[97] David SK, Pailthorpe MT. Classification of Textile Fibres: production, Structure, and Properties. In: Robertson J, Grieve M, editor. Forensic Examination of Fibres, 2 ed. CRC Press, 1999.Search in Google Scholar

[98] Palmer R. Fibers: identification and Comparison. In: Siegel JA, Saukku PJ, editors. Encyclopedia of Forensic Sciences. Academic Press, 2000:815–23.10.1006/rwfs.2000.0516Search in Google Scholar

[99] Forensic Examination of Fibres, 2 ed. CRC Press, 1999.Search in Google Scholar

[100] Meleiro PP, García-Ruiz C. Spectroscopic techniques for the forensic analysis of textile fibers. Appl Spectrosc Rev. 2016;51:278–301.10.1080/05704928.2015.1132720Search in Google Scholar

[101] Bianchi F, Riboni N, Trolla V, et al. Differentiation of aged fibers by Raman spectroscopy and multivariate data analysis. Talanta. 2016;154:467–73.10.1016/j.talanta.2016.04.013Search in Google Scholar PubMed

[102] Kavkler K, Gunde Cimerman N, Zalar P, Demšar A. Deterioration of contemporary and artificially aged cotton by selected fungal species. Polym Degrad Stab. 2015;113:1–9.10.1016/j.polymdegradstab.2015.01.004Search in Google Scholar

[103] Buzzini P, Massonnet G. The analysis of colored acrylic, cotton, and wool textile fibers using micro-raman spectroscopy. Part 2: comparison with the traditional methods of fiber examination. J Forensic Sci. 2015;60:712–20.10.1111/1556-4029.12654Search in Google Scholar PubMed

[104] Was-Gubala J, Starczak R. Nondestructive identification of dye mixtures in polyester and cotton fibers using Raman spectroscopy and ultraviolet-visible (UV-Vis) microspectrophotometry. Appl Spectrosc. 2015;69:296–303.10.1366/14-07567Search in Google Scholar PubMed

[105] Gaudette BD. Hair Overview. In: Siegel J, Saukko P, editors. Encyclopedia of Forensic Sciences Academic Press. 2000:999–1041.10.1006/rwfs.2000.0555Search in Google Scholar

[106] Bisbing RE. Hair: comparison Microscopic. In: Siegel JA, Saukko PJ, editor. Encycopedia of Forensic Sciences, 1st ed. Academic Press, 2000.Search in Google Scholar

[107] Robertson J. Forensic and Microscopic Examination of Human Hair. In: Robertson J, editor. Forensic Examination of Hair. CRC Press, 1999:79–154.10.1201/9780203483527Search in Google Scholar

[108] Gaudette BD. Hair: comparision Other. In: Siegel JA, Suakko P, editors. Encycopedia of Forensic Sciences. Academic Press. 2000:1016–18.10.1006/rwfs.2000.0561Search in Google Scholar

[109] Gaudette BD. Evidential Value of Hair Examination. In: Robertson J, editor. Forensic Examination of Hair. CRC Press, 1999:229–42.Search in Google Scholar

[110] Forensic Examination of Hair. CRC press, 1999.Search in Google Scholar

[111] Harding H, Rogers G. Physiology and Growth of Human Hair. In: Robertson J, editor. Forensic Examination of Hair. CRC Press, 1999:1–78.Search in Google Scholar

[112] Fedorkova MV, Brandt NN, Chikishev AY, et al. Photoinduced formation of thiols in human hair. J Photochem Photobiol B: Biol. 2016;164:43–8.10.1016/j.jphotobiol.2016.09.021Search in Google Scholar PubMed

[113] Kuzuhara A. Internal structural changes in keratin fibres resulting from combined hair waving and stress relaxation treatments: a Raman spectroscopic investigation. Int J Cosmet Sci. 2016;38:201–09.10.1111/ics.12278Search in Google Scholar PubMed

[114] Galván I, Jorge A. Dispersive Raman spectroscopy allows the identification and quantification of melanin types. Ecol Evol. 2015;5:1425–31.10.1002/ece3.1453Search in Google Scholar PubMed PubMed Central

[115] Wu Y, Chen G, Ji C, et al. Gas chromatography-mass spectrometry and Raman imaging measurement of squalene content and distribution in human hair. Anal Bioanal Chem. 2016;408:2357–62.10.1007/s00216-016-9335-0Search in Google Scholar PubMed

Published Online: 2018-09-20

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