Evidence map›Paper›PMID 41809945›Full record

ArticleForensic sciences research2025

To test or not to test for body fluids: integration of body fluid identification and direct PCR in one workflow.

Francisco Medina-Paz, Gabriela Roca, Christian Stadler, Santina Castriciano, Sara C Zapico

Abstract read
In one paragraph

Article in Forensic sciences research, 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.

Francisco Medina-PazDepartment of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Newark, USA.ORCID https://orcid.org/0000-0002-8714-2962
Gabriela RocaSERATEC mbH, Göttingen, Germany.
Christian StadlerSERATEC mbH, Göttingen, Germany.
Santina CastricianoCopan Italia Spa, Brescia, Italy.
Sara C ZapicoDepartment of Chemistry and Environmental Sciences, New Jersey Institute of Technology, Newark, USA.ORCID https://orcid.org/0000-0002-3605-5690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequently at crime scenes, it is possible to find lesser amounts of biological material, which prevents performing all the analyses to make a full identification of the evidence: body fluid identification, DNA extraction, human DNA quantitation, and short tandem repeats (STR) profiling. In these situations, DNA profiling is chosen over body fluid identification. Nowadays, the current advancements in forensic genetics, such as the development of different swab materials and direct polymerase chain reaction (PCR) amplification, allow us to skip the steps of DNA extraction and quantitation, avoiding losing important amounts of genetic material and original evidence. However, DNA profiling is as important as body fluid identification in certain cases. The present study assessed the efficiency of integrating body fluid identification by immunochromatographic tests and genetic profiling into a single workflow using microFLOQ® swabs and evaluating different approaches in bloodstain samples. The findings from this research indicated that the microFLOQ can be used both for sampling directly from the source and for subsampling from swabs of different materials, followed by direct PCR to get good-quality STR profiles, in this case allowing to extract the maximum information from a "unique" source of evidence before destruction, as in body fluid and genetic identification. Future research can expand these results to other body fluids (i.e., semen and saliva) and mixtures.

Indexed as

body fluidsdirect PCRforensic geneticsforensic sciencesimmunochromatographic testsSTR profiling

Identifiers

PMID41809945
PMCPMC12885095

What OpenQuestion holds

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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.