Evidence map›Paper›PMID 40141397›Full record

ArticleInternational journal of molecular sciences2025

Headspace Extraction onto a 3D-Printed Device for GC-MS Quantification of Polychlorinated Biphenyls in Newborn Urine.

Paweł Georgiev, Mariusz Belka, Szymon Ulenberg, Dagmara Kroll, Bartosz Marciniak, Izabela Drążkowska, Tomasz Bączek, Justyna Płotka-Wasylka

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

8 authors.

Paweł GeorgievDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.
Mariusz BelkaDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.
Szymon UlenbergDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.
Dagmara KrollDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.ORCID 0000-0003-1691-2306
Bartosz MarciniakDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.ORCID 0000-0001-6940-1249
Izabela DrążkowskaDivision of Neonatology, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Tomasz BączekDepartment of Pharmaceutical Chemistry, Medical University of Gdańsk, J. Hallera 107, 80-416 Gdańsk, Poland.ORCID 0000-0001-6468-1974
Justyna Płotka-WasylkaDepartment of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland.

Funding

Gdańsk University of Technology, Iconic Scholars-Excellence Initiative-Research University 32/WCh-BR/2021National Science Center, Poland 2018/31/D/ST4/03970National Science Center, Poland 2020/37/B/ST4/02886
6 · The paper itself

Abstract

Polychlorinated biphenyls (PCBs) are persistent organic pollutants that pose significant health risks, especially for neonates. Traditional urine analysis methods for PCBs are often complex and prone to contamination. This study introduces a novel, efficient, and contamination-free method for PCB analysis in neonatal urine using 3D-printed extraction devices. A headspace extraction method was developed, utilizing a 3D-printed device containing C18-modified silica particles. Urine samples were heated to 90 °C, and volatile PCBs were sorbed onto the particles. The method was optimized for maximum extraction efficiency and selectivity, demonstrating excellent linearity, precision, and accuracy. The optimized method was successfully applied to analyze neonatal urine samples, revealing detectable levels of PCBs. This innovative approach, leveraging 3D-printed devices, offers a promising solution for sample preparation, minimizing contamination risks and enabling the analysis of volatile compounds. The customizable nature of 3D-printed devices opens up possibilities for future advancements in environmental analysis.

Indexed as

Environmental PollutantsGas Chromatography-Mass SpectrometryPolychlorinated BiphenylsPrinting, Three-DimensionalHumansInfant, NewbornEnvironmental PollutantsPolychlorinated Biphenyls3D printingdesorptiondigital light processing (DLP)environmental analysisheadspace extractionsilica particlessorption

Identifiers

PMID40141397
PMCPMC11942790

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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.