Evidence map›Paper›PMID 41835556›Full record

ArticleACS omega2026

First Application of QuEChERS-GC-MS Analysis for Polycyclic Aromatic Hydrocarbons Detection in Human Adipose Tissue.

Alice Franchin, Elena Gregoris, Luca Sorarù, Elena Stocco, Vincenzo Vindigni, Andrea Porzionato, Daniele Brunelli, Veronica Macchi, Andrea Gambaro, Marco Roman

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Alice FranchinCa' Foscari University of Venice, Department of Environmental Sciences, Informatic and Statistics, via Torino 155, Venice (Mestre), Veneto 30172, Italy.
Elena GregorisNational Research Council, Institute of Polar Sciences, via Torino 155, Venice (Mestre), Veneto 30172, Italy.ORCID https://orcid.org/0000-0003-3963-3959
Luca SorarùCa' Foscari University of Venice, Department of Environmental Sciences, Informatic and Statistics, via Torino 155, Venice (Mestre), Veneto 30172, Italy.
Elena StoccoUniversity of Padua, Department of Neurosciences, via Belzoni 160, Padova, Veneto 35121, Italy.
Vincenzo VindigniUniversity of Padua, Department of Neurosciences, via Belzoni 160, Padova, Veneto 35121, Italy.
Andrea PorzionatoUniversity of Padua, Department of Neurosciences, via Belzoni 160, Padova, Veneto 35121, Italy.ORCID https://orcid.org/0000-0003-3025-4717
Daniele BrunelliUniversity of Padua, Department of Neurosciences, via Belzoni 160, Padova, Veneto 35121, Italy.
Veronica MacchiUniversity of Padua, Department of Neurosciences, via Belzoni 160, Padova, Veneto 35121, Italy.
Andrea GambaroCa' Foscari University of Venice, Department of Environmental Sciences, Informatic and Statistics, via Torino 155, Venice (Mestre), Veneto 30172, Italy.
Marco RomanCa' Foscari University of Venice, Department of Environmental Sciences, Informatic and Statistics, via Torino 155, Venice (Mestre), Veneto 30172, Italy.ORCID https://orcid.org/0000-0003-1289-8236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomonitoring plays a crucial role in assessing human exposure to hazardous substances by determining the presence and concentration of pollutants in the body. This study is part of the PRIN 2022 PNRR project "Integrated systemic detection of pollutants in the human body" (INSYDE-HU), which focuses on developing analytical methods to quantify selected pollutants in human tissues from nonoccupationally exposed individuals. The aim of this research is to develop and validate a reliable analytical methodology for the quantitative determination of toxic polycyclic aromatic hydrocarbons (PAHs) in human adipose tissue, a complex and rarely studied matrix in biomonitoring due to the invasiveness of sampling. PAHs are lipophilic, toxic compounds widely present in the environment and are prone to bioaccumulate in fat tissue. The method was developed by using the QuEChERS extraction technique followed by analysis through gas chromatography coupled with mass spectrometry (GC-MS). Validation was performed on bovine fat, followed by application to human adipose tissue samples provided by the Plastic Surgery Unit of the University Hospital of Padua. Fourteen PAHs were validated with method detection (MDLs) and quantification (MQLs) limits ranging from 0.11 to 4.13 and 0.30 to 13.76 ng g

Identifiers

PMID41835556
PMCPMC12980236

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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.