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Raw data for article Integrated laser ablation and computed tomography: foodprint chemical detection of microplastic and 3D reconstruction of biological tissues
Summary
This entry is a raw dataset (not a research paper) supporting a publication on using laser ablation ICP-MS and computed tomography to detect microplastics in biological tissues.
This dataset comprises raw, unprocessed data acquired from laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and computed tomography (CT) measurements. The data were collected during experimental analyses and serve as the primary source data for the results reported in the associated publication.
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Raw data for article Integrated laser ablation and computed tomography: foodprint chemical detection of microplastic and 3D reconstruction of biological tissues
This entry is a duplicate of ID 2370, representing the same raw dataset for the laser ablation and computed tomography microplastic detection study.
Is LA-ICP-MS the next frontier in monitoring and imaging microplastics in biological tissues?
This paper evaluated whether laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) could become a leading technique for detecting and imaging microplastics within biological tissues. If validated, this approach could allow researchers to precisely map where plastic particles accumulate in organs, greatly improving understanding of how microplastics affect living organisms including humans.
Is LA-ICP-MS the next frontier in monitoring and imaging microplastics in biological tissues?
This paper evaluated whether laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) could become a leading technique for detecting and imaging microplastics within biological tissues. If validated, this approach could allow researchers to precisely map where plastic particles accumulate in organs, greatly improving understanding of how microplastics affect living organisms including humans.
Enhancing microplastic detection in biological tissue with x-ray computed tomography
This study tested X-ray computed tomography (CT scanning) as a way to detect microplastics in biological tissue, exploring whether this non-destructive imaging approach could improve on current methods that require chemically processing samples. A non-destructive technique would allow scientists to study microplastic distribution in tissues without destroying the sample, potentially enabling more detailed and repeatable analyses.
Enhancing microplastic detection in biological tissue with x-ray computed tomography
This study tested X-ray computed tomography (CT scanning) as a way to detect microplastics in biological tissue, exploring whether this non-destructive imaging approach could improve on current methods that require chemically processing samples. A non-destructive technique would allow scientists to study microplastic distribution in tissues without destroying the sample, potentially enabling more detailed and repeatable analyses.