Vibrational Spectroscopy: Recent Developments to Revolutionize Forensic Science

Muro, Claire K.; Doty, Kyle C.; Bueno, Justin; Halámková, Lenka; Lednev, Igor K.

doi:10.1021/ac504068a

Cited by 124 publications

(76 citation statements)

References 167 publications

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“…Recently, Muro et al published a critical review covering numerous studies that used vibrational spectroscopy for forensic purposes . Another review specifically focused on using portable and handheld Raman instrumentation for archaeological, forensic, and geological science applications .…”

Section: Introductionmentioning

confidence: 99%

What can Raman spectroscopy do for criminalistics?

Doty

Muro

Bueno

et al. 2015

J Raman Spectroscopy

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For decades Raman spectroscopy has been used as a specialized tool in a variety of fields. Forensic science is one discipline in particular that has greatly benefited from the application of Raman spectroscopic research. Here, studies using Raman spectroscopy for analyzing criminalistic evidence, including body fluids, human tissue, bones, gunshot residue, fibers, and hair, are reviewed. Many of these methods demonstrate the significance of incorporating chemometrics for data analysis to provide more reliable and quantitative results with associated errors. Currently, there are only a few branches of forensic science that use Raman spectroscopy in practice, despite its wide range of advantages. However, many more applications have been developed in the research setting and are presented here. These studies showcase the versatility and dependability of Raman spectroscopy, specifically for criminalistic purposes. The advantages of developing and transitioning these techniques to be used in practice are also discussed, including the tremendous benefits of portable instrumentation. Raman spectroscopy can easily become an established analytical technique for many criminalistics disciplines because it allows for obtaining real‐time, rapid, impartial, statistically confident results. Consequently, the improvements to forensic science as a whole will be revolutionary. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

What can Raman spectroscopy do for criminalistics?

Doty

Muro

Bueno

et al. 2015

J Raman Spectroscopy

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“…Typically in forensic science, hair analyses are performed by using microscopic examination and identification. A microscopic analysis provides information about the length, color, damage, and other characteristics of both human and animal hair [4]. Even though microscopic analyses are widely used in forensic science to determine the specific properties of hair to be used as evidence [5] [6], these techniques when limited to surface analyses often have inherent flaws.…”

Section: Introductionmentioning

confidence: 99%

“…By using spectroscopy, one is able to obtain, based on the chemistry of hair, additional information reflecting the chemical and the biological characteristics. The analysis of evidence by using spectroscopy often applies not only to information about natural hair but also to manmade traces such as gunshot residue or dyes [4] [7]. In toxicology, hair analysis is further used to provide evidence of heavy-metal poisoning (lead, cadmium, arsenic, and mercury) and the presence of drugs (cocaine, heroin, and amphetamines) [8].…”

Section: Introductionmentioning

confidence: 99%

FT-IR Microspectroscopic Imaging of Cross-Sectioned Human Hair during a Bleaching Process

Ryu¹,

Jang²,

Yu³

et al. 2016

JCDSA

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We investigated bleached human hair by FT-IR microspectroscopy and chemical imaging. The cross sectioned hair is approximately 90 μm in diameter, showed cuticle and cortex in chemical imaging. Differential amide I/II absorbance ratio and broadening amide I band between in the cortex and cuticle were confirmed in FT-IR microspectroscopy and chemical imaging. The cystine monoxide band from the products of disulfide oxidation of the amino acid cystine is associated with hair damaging during bleaching process. With increase bleaching time, the band for cystine monoxide shows more intense and larger area in chemical image. The spatially chemical change was investigated in detail by FT-IR microspectroscopy and chemical imaging during the bleached process.

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“…Both HCA and PCA are extensively used in chemical applications that include proteomics [6,7], metabolomics [8][9][10], food science [11,12], forensics [13][14][15], medical diagnostics [16,17], and threat detection [18]. An important goal of both techniques in these and other applications is to either identify or confirm groupings of samples that are consistent with external classifications that are based on other factors, such as disease state (medicine), geographic origin (food analysis), provenance (forensics) and biological species (chemotaxonomy).…”

Section: Introductionmentioning

confidence: 99%

Implications of measurement error structure on the visualization of multivariate chemical data: hazards and alternatives

et al. 2018

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The analysis of multivariate chemical data is commonplace in fields ranging from metabolomics to forensic classification. Many of these studies rely on exploratory visualization methods that represent the multidimensional data in spaces of lower dimensionality, such as hierarchical cluster analysis (HCA) or principal components analysis (PCA). However, such methods rely on assumptions of independent measurement errors with uniform variance and can fail to reveal important information when these assumptions are violated, as they often are for chemical data.This work demonstrates how two alternative methods, maximum likelihood principal components analysis (MLPCA) and projection pursuit analysis (PPA), can reveal chemical information hidden from more traditional techniques. Experimental data to compare different methods consists of near-infrared (NIR) reflectance spectra from 108 samples of wood that are derived from four different species of Brazilian trees. The measurement error characteristics of the spectra are examined and it is shown that, by incorporating measurement error information into the data analysis (through MLPCA) or using alternative projection criteria (i.e. PPA), samples can be separated by species. These techniques are proposed as powerful tools for multivariate data analysis in chemistry.

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Vibrational Spectroscopy: Recent Developments to Revolutionize Forensic Science

Cited by 124 publications

References 167 publications

What can Raman spectroscopy do for criminalistics?

What can Raman spectroscopy do for criminalistics?

FT-IR Microspectroscopic Imaging of Cross-Sectioned Human Hair during a Bleaching Process

Implications of measurement error structure on the visualization of multivariate chemical data: hazards and alternatives

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