Evidence map›Paper›PMID 42198577›Full record

ReviewToxics2026

A Two-Stage In Silico-Guided Workflow for Forensic Toxicology: Empirical Validation via Capillary Zone Electrophoresis Prior to Mass-Spectrometric Confirmation.

Ivan Šoša

Abstract readReview
In one paragraph

Review in Toxics, 2026. 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

1 author.

Ivan ŠošaDepartment of Anatomy, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-6869-3734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medium-throughput forensic toxicology laboratories are increasingly expected to detect highly polar metabolites while working under tight resource and time constraints. To meet these requirements, a workflow is proposed that includes two stages: The first is computational metabolite prediction, followed by capillary zone electrophoresis (CZE), and the second stage is mass spectrometry (MS). The predictive step generates plausible metabolites and relevant physicochemical properties, which help guide early separation strategies. CZE then provides a rapid, low-cost way to test these predictions, identify informative samples, and exclude those unlikely to yield meaningful findings. Only samples that warrant further investigation proceed to targeted LC-MS/MS or high-resolution MS for confirmation. This approach shifts analytical effort toward the least resource-intensive stages, reducing unnecessary MS runs and improving turnaround time without compromising evidentiary standards. In practice, the workflow also improves day-to-day laboratory efficiency by overcoming equipment limitations and helping analysts focus on samples with genuine interpretive value. This stepwise combination of techniques is therefore suitable for routine forensic casework, where analytical decisions must be transparent, reproducible, and defensible.

Indexed as

analytical triagecapillary zone electrophoresiscost-efficient toxicologyelectrophoretic separationforensic toxicology workflowHRMSin silico metabolite predictionLC–MS/MSmetabolomics-guided screeningpolar and ionic analytes

Identifiers

PMID42198577
PMCPMC13211538

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.