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Integrated laser ablation and computed tomography : detecting the chemical footprint of microplastics and reconstructing 3D biological tissues
ID
Biskupič, Jan
(
Author
),
ID
Scheer, Peter
(
Author
),
ID
Hložková, Jana
(
Author
),
ID
Aksu, Ahmet Davut
(
Author
),
ID
Šudomová, Lucie
(
Author
),
ID
Parobková, Viktória
(
Author
),
ID
Procházková, Petra
(
Author
),
ID
Zikmund, Tomáš
(
Author
),
ID
Kaiser, Jozef
(
Author
),
ID
Kalčíková, Gabriela
(
Author
),
ID
Kuchynka, Michaela
(
Author
)
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https://www.sciencedirect.com/science/article/pii/S0039914026004509
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Abstract
Detecting and characterizing microplastics within biological tissues remains analytically challenging due to their small size, complex composition, and the heterogeneous nature of biological matrices. Existing methods often rely on destructive sample preparation or only provide partial information, highlighting the need for advanced techniques that can simultaneously resolve both the structural and chemical features of microplastics in situ. To address this gap, we introduce a multimodal analytical approach that integrates micro-computed tomography (μCT), which enables non-invasive volumetric imaging of the tissue with laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to detect microplastics based on their metal markers. Rat tissue was spiked with polyethylene terephthalate (PET) microplastics, and results showed that μCT imaging alone was insufficient for definitively determining microplastics. However, PET contained several elements, such as antimony and cobalt, and it was possible to detect PET microplastics using LA-ICP-MS based on those metal markers. Furthermore, the developed workflow combining μCT and LA-ICP-MS enabled volumetric segmentation of microplastic reconstruction based on their 3D distribution and evaluation of their size distribution. The results demonstrate that integrating LA-ICP-MS spatial element mapping of PET metal markers facilitates precise validation and segmentation of microplastic locations within tissue on μCT. The proposed protocol was evaluated against a reference size distribution method, addressing the associated detection limitations. Overall, this dual-modality approach provides a proof of concept for microplastic detection in biological tissues by combining both structural and chemical analyses.
Language:
English
Keywords:
microplastics
,
X-ray computed tomography
,
laser ablation inductively coupled plasma mass spectrometry
,
imaging
,
dual modality
,
metal markers
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FKKT - Faculty of Chemistry and Chemical Technology
Publication status:
Published
Publication version:
Version of Record
Year:
2026
Number of pages:
9 str.
Numbering:
Vol. 308, art. 129794
PID:
20.500.12556/RUL-182377
UDC:
543:504.5:678:543
ISSN on article:
0039-9140
DOI:
10.1016/j.talanta.2026.129794
COBISS.SI-ID:
277326339
Publication date in RUL:
08.05.2026
Views:
13
Downloads:
2
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Record is a part of a journal
Title:
Talanta
Shortened title:
Talanta
Publisher:
Pergamon Press
ISSN:
0039-9140
COBISS.SI-ID:
26495744
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
mikroplastika
,
rentgenska računalniška tomografija
,
laserska ablacija z induktivno sklopljeno plazemsko masno spektrometrijo
,
slikanje
,
dvojna modalnost
,
kovinski markerji
Projects
Funder:
Czech Science Foundation
Project number:
25-16166S
Funder:
Czech Science Foundation
Project number:
MUNI/ A/1450/2024
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0191
Name:
Kemijsko inženirstvo
Funder:
MEYS CR - Ministry of Education, Youth and Sports, Czech Republic
Funding programme:
CzechNanoLab Research Infrastructure
Project number:
LM2023051
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