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PhotothermalInfrared Imaging of Nanoplastics in HumanCells with Nanoscale Resolution
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Researchers used photothermal infrared imaging with nanoscale resolution to detect and localize polystyrene nanoparticles inside individual human fibroblast and glioblastoma cells, overcoming the size limitation of conventional FTIR and enabling sub-100 nm nanoplastic localization in cells.
The detection and intracellular tracking of nanoplastics in human cells remain critical challenges in understanding their biological impact. Here, we demonstrate the use of multimodal vibrational spectroscopy to identify and localize fluorescently labeled polystyrene nanoparticles (PS-NPs) within individual fibroblast and LN-229 glioblastoma cells. While fluorescence microscopy and Raman imaging confirmed the presence of PS-NPs around the nucleus, conventional Fourier-transform infrared (FT-IR) spectroscopy lacked the spatial resolution to detect intracellular nanoplastics. To overcome this limitation, we applied two advanced IR photothermal-based techniques: atomic force microscopy-infrared (AFM-IR) and optical photothermal infrared (O-PTIR) spectroscopy. AFM-IR enabled nanoscale chemical imaging and topographical mapping, while O-PTIR allowed label-free, noncontact detection of PS-NPs with submicron resolution. Both methods successfully identified characteristic spectral signatures of PS-NPs and revealed their perinuclear localization. Comparative analyses highlight O-PTIR’s operational simplicity and spectral fidelity, and AFM-IR’s superior spatial resolution. Our findings establish AFM-IR and O-PTIR as powerful, complementary tools for visualizing nanoplastics within single cells and lay the foundation for future studies exploring nanoplastic biodistribution and toxicity using vibrational spectroscopy.
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Photothermal Infrared Imaging of Nanoplastics in Human Cells with Nanoscale Resolution
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Researchers demonstrated a new photothermal infrared imaging technique capable of detecting and localizing nanoplastics inside individual human cells at nanoscale resolution. The study found that polystyrene nanoparticles accumulated around cell nuclei, and that this advanced imaging approach overcomes the spatial resolution limitations of conventional infrared spectroscopy for tracking nanoplastics in biological tissues.
Detection ofUnlabeled Polystyrene Micro- and Nanoplasticsin Mammalian Tissue by Optical Photothermal Infrared Spectroscopy
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Researchers evaluated optical photothermal infrared (O-PTIR) spectroscopy for detecting unlabeled polystyrene micro- and nanoplastics down to 200 nm in mammalian kidney tissues and 3D cell cultures. O-PTIR outperformed conventional FTIR in spatial resolution and signal-to-noise ratio, and machine learning accelerated particle detection with minimal human error.
Label-free nano- and microplastics detection in mammalian tissue by photothermal infrared spectroscopy
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Researchers applied optical photothermal infrared spectroscopy to detect and identify nano- and microplastics smaller than 1 µm in mammalian tissue sections without requiring labels or lengthy digestion protocols. The method successfully localized polystyrene particles in tissue samples with chemical specificity, offering a faster workflow for nanoplastic detection in biological matrices.
Photothermal infrared imaging: identification and visualization of micro- and nanoplastics in environmental matrices
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Researchers demonstrated that photothermal infrared heterodyne imaging can identify and visualize micro- and nanoplastic particles in complex environmental samples at sub-micrometer resolution. The technique overcomes the resolution limits of conventional infrared spectroscopy and can detect individual plastic particles far smaller than previously possible.
Detection of Unlabeled Micro- and Nanoplastics in Unstained Tissue with Optical Photothermal Infrared Spectroscopy
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Researchers demonstrated that optical photothermal infrared spectroscopy can detect unlabeled micro- and nanoplastics as small as 250 nanometers in mammalian tissue samples without staining or labeling. The technique significantly outperformed traditional FTIR spectroscopy in spatial resolution and signal quality when imaging particles in complex biological matrices. The study also introduced a semi-automated machine learning analysis to speed up detection, offering a powerful new tool for studying nanoplastic accumulation in tissues.
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