Innovative Vibrational Spectroscopy Research for Forensic Application

Weber, Alexis R.; Hoplight, Bailey; Ogilvie, Rhilynn; Muro, Claire K.; Khandasammy, Shelby R.; Pérez-Almodóvar, Luis; Sears, Samuel F.; Lednev, Igor K.

doi:10.1021/acs.analchem.2c05094

Cited by 26 publications

(10 citation statements)

References 276 publications

(554 reference statements)

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“…Furthermore, there is a large sample test bed available to validate the results. Although several studies have appeared in the literature over the past five years on the application of Raman spectroscopy to automotive paint analysis and have been the subject of several reviews, 18,19 these investigations have largely focused on multilayered automotive paint chips. By comparison, this study is restricted to a single layer of automotive paint, the clearcoat layer.…”

Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy to Enhance Investigative Lead Information in Automotive Clearcoats

et al. 2023

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A new method to determine the make and model of a vehicle from an automotive paint sample recovered at the crime scene of a vehicle-related fatality such as a hit-and-run using Raman microscopy has been developed. Raman spectra were collected from 118 automotive paint samples from six General Motors (GM) vehicle assembly plants to investigate the discrimination power of Raman spectroscopy for automotive clearcoats using a genetic algorithm for pattern recognition that incorporates model inference and sample error in the variable selection process. Each vehicle assembly plant pertained to a specific vehicle model. The spectral region between 1802 and 697 cm–1 was found to be supportive of the discrimination of these six GM assembly plants. By comparison, only one of the six automotive assembly plants could be differentiated from the other five assembly plants using Fourier transform infrared spectroscopy (FT-IR), which is the most widely used analytical method for the examination of automotive paint) and the genetic algorithm for pattern recognition. The results of this study indicate that Raman spectroscopy in combination with pattern recognition methods offers distinct advantages over FT-IR for the identification and discrimination of automotive clearcoats.

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Section: Introductionmentioning

confidence: 99%

Raman Spectroscopy to Enhance Investigative Lead Information in Automotive Clearcoats

et al. 2023

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“…The utility of vibrational spectroscopy for forensic science applications, including in‐field analyses of seized drugs, has been recently reviewed [96–98]. New tools are required to combat the significant increase in fentanyl related overdoses and deaths, and the surge in fentanyl narcotics importation.…”

Section: Introductionmentioning

confidence: 99%

“…Handheld FT-IR spectrometers using diamond ATR optics are inherently microsampling devices. As demonstrated in Figure5and the discussion above, fractional components in mixtures may be identified with masses that are below this maximum, in the nanogram mass regime.The utility of vibrational spectroscopy for forensic science applications, including in-field analyses of seized drugs, has been recently reviewed[96][97][98]. New tools are required to combat the significant increase in fentanyl related overdoses and deaths, and the surge in fentanyl narcotics importation.…”

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confidence: 99%

Field‐portable detection of fentanyl and its analogs: A review

Crocombe,

Giuntini,

Schiering

et al. 2023

Journal of Forensic Sciences

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The need to detect fentanyl and its analogs in the field is an important capability to help prevent unintentional exposure or overdose on these substances, which may result in death. Many portable methods historically used in the field by first responders and other field users to detect and identify other chemical substances, such as hazardous materials, have been applied to the detection and identification of these synthetic opioids. This paper describes field portable spectroscopic methods used for the detection and identification of fentanyl and its analogs. The methods described are automated colorimetric tests including lateral flow assays; vibrational spectroscopy (mid‐infrared and Raman); gas chromatography–mass spectrometry; ion mobility spectrometry, and high‐pressure mass spectrometry. In each case the background and key details of these technologies are outlined, followed by a discussion of the application of the technology in the field. Attention is paid to the analysis of complex mixtures and limits of detection, including the required spectral databases and algorithms used to interrogate these types of samples. There is also an emphasis on providing actionable information to the (likely) non‐scientist operators of these instruments in the field.

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“…This method is rapid, nondestructive, and quantitative, which are ideal properties for forensic analysis. Moreover, this method can be used in the field with a portable instrument . IR spectroscopy belongs to analytical methods that are capable of molecular confirmation based on Standard Practice for Identification of Seized Drugs that guides forensic laboratories in the identification of an unknown seized substance .…”

mentioning

confidence: 99%

“…Moreover, this method can be used in the field with a portable instrument. 32 IR spectroscopy belongs to analytical methods that are capable of molecular confirmation based on Standard Practice for Identification of Seized Drugs that guides forensic laboratories in the identification of an unknown seized substance. 33 FT-IR spectroscopy was widely studied and has already been utilized in forensic casework.…”

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confidence: 99%

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy for Forensic Screening of Long-Term Alcohol Consumption from Human Nails

et al. 2023

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Fourier transform infrared (FT-IR) spectroscopy is used throughout forensic laboratories for many applications. FT-IR spectroscopy can be useful with ATR accessories in forensic analysis for several reasons. It provides excellent data quality combined with high reproducibility, with minimal user-induced variations and no sample preparation. Spectra from heterogeneous biological systems, including the integumentary system, can be associated with hundreds or thousands of biomolecules. The nail matrix of keratin possesses a complicated structure with captured circulating metabolites whose presence may vary in space and time depending on context and history. We developed a new approach by using machine-learning (ML) tools to leverage the potential and enhance the selectivity of the instrument, create classification models, and provide invaluable information saved in human nails with statistical confidence. Here, we report chemometric analysis of ATR FT-IR spectra for the classification and prediction of long-term alcohol consumption from nail clippings in 63 donors. A partial least squares discriminant analysis (PLS-DA) was used to create a classification model that was validated against an independent data set which resulted in 91% correctly classified spectra. However, when considering the prediction results at the donor level, 100% accuracy was achieved, and all donors were correctly classified. To the best of our knowledge, this proof-of-concept study demonstrates for the first time the ability of ATR FT-IR spectroscopy to discriminate donors who do not drink alcohol from those who drink alcohol on a regular basis.

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Innovative Vibrational Spectroscopy Research for Forensic Application

Cited by 26 publications

References 276 publications

Raman Spectroscopy to Enhance Investigative Lead Information in Automotive Clearcoats

Raman Spectroscopy to Enhance Investigative Lead Information in Automotive Clearcoats

Field‐portable detection of fentanyl and its analogs: A review

Attenuated Total Reflection Fourier Transform Infrared Spectroscopy for Forensic Screening of Long-Term Alcohol Consumption from Human Nails

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