Evidence map›Paper›PMID 39885701›Full record

ArticleAnalytical chemistry2025

Detection of Oral Fluid Stains on Fabric via Solution Extraction Combined with Deep Ultraviolet Raman Spectroscopy.

Alexis Weber, Mohamed O Amin, Vladimir Ermolenkov, Entesar Al-Hetlani, Igor K Lednev

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexis WeberDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.
Mohamed O AminDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.ORCID 0000-0003-1305-7746
Vladimir ErmolenkovDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.
Entesar Al-HetlaniDepartment of Chemistry, Kuwait University, Faculty of Science, P.O. Box 5969, 13060, Safat, Kuwait.ORCID 0000-0003-2281-6257
Igor K LednevDepartment of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.ORCID 0000-0002-6504-531X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA phenotyping plays a central role in modern practical forensics, yet an overwhelming amount of evidence creates significant backlogs in all major crime laboratories. A fast nondestructive test of a potential biological stain prior to DNA phenotyping should reduce the number of irrelevant samples for the analysis and increase the efficiency of the overall process. Evidence items recovered from the crime scene can often include body fluid traces, such as oral fluid (OF). This proof-of-concept study demonstrates the effectiveness of Deep-UV Raman spectroscopy in identifying OF stains on substrates such as cotton, polyester, and blue denim, commonly encountered in forensic investigations. Through spectral interpretation and statistical analysis, this study compares Raman spectra from OF extracted from substrates with pure OF spectra. Additionally, comparative analysis with near-infrared (NIR) Raman spectroscopy to deep-UV Raman spectroscopy was performed. Distinct advantages of deep-UV Raman spectroscopy were determined, including reduced sample preparation requirements and the absence of fluorescence background, enhancement of the signal-to-noise ratio, and simplified data preprocessing. Using statistical analysis methods like principal component analysis and partial least-squares discriminate analysis, differentiation between OF and non-OF samples was possible. Overall, this study underscores the versatility and potential of deep-UV Raman spectroscopy as a valuable tool in forensic science.

Indexed as

SalivaSpectrum Analysis, RamanTextilesHumansPrincipal Component AnalysisSolutionsSolutions

Identifiers

PMID39885701
PMCPMC11866284

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.