Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy
We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flo...
Ausführliche Beschreibung
Autor*in: |
Martínez, Eduardo D. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022transfer abstract |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques - Bredács, M. ELSEVIER, 2023, Amsterdam |
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Übergeordnetes Werk: |
volume:629 ; year:2022 ; day:15 ; month:03 ; pages:0 |
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DOI / URN: |
10.1016/j.physb.2021.413639 |
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ELV056776926 |
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520 | |a We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. | ||
520 | |a We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. | ||
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10.1016/j.physb.2021.413639 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica (DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 DE-627 ger DE-627 rakwb eng 540 VZ 51.30 bkl Martínez, Eduardo D. verfasserin aut Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier Brites, Carlos D.S. oth Urbano, Ricardo R. oth Rettori, Carlos oth Carlos, Luis D. oth Enthalten in Elsevier Bredács, M. ELSEVIER Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques 2023 Amsterdam (DE-627)ELV010517057 volume:629 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.physb.2021.413639 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 51.30 Werkstoffprüfung Werkstoffuntersuchung VZ AR 629 2022 15 0315 0 |
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10.1016/j.physb.2021.413639 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica (DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 DE-627 ger DE-627 rakwb eng 540 VZ 51.30 bkl Martínez, Eduardo D. verfasserin aut Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier Brites, Carlos D.S. oth Urbano, Ricardo R. oth Rettori, Carlos oth Carlos, Luis D. oth Enthalten in Elsevier Bredács, M. ELSEVIER Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques 2023 Amsterdam (DE-627)ELV010517057 volume:629 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.physb.2021.413639 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 51.30 Werkstoffprüfung Werkstoffuntersuchung VZ AR 629 2022 15 0315 0 |
allfields_unstemmed |
10.1016/j.physb.2021.413639 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica (DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 DE-627 ger DE-627 rakwb eng 540 VZ 51.30 bkl Martínez, Eduardo D. verfasserin aut Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier Brites, Carlos D.S. oth Urbano, Ricardo R. oth Rettori, Carlos oth Carlos, Luis D. oth Enthalten in Elsevier Bredács, M. ELSEVIER Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques 2023 Amsterdam (DE-627)ELV010517057 volume:629 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.physb.2021.413639 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 51.30 Werkstoffprüfung Werkstoffuntersuchung VZ AR 629 2022 15 0315 0 |
allfieldsGer |
10.1016/j.physb.2021.413639 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica (DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 DE-627 ger DE-627 rakwb eng 540 VZ 51.30 bkl Martínez, Eduardo D. verfasserin aut Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier Brites, Carlos D.S. oth Urbano, Ricardo R. oth Rettori, Carlos oth Carlos, Luis D. oth Enthalten in Elsevier Bredács, M. ELSEVIER Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques 2023 Amsterdam (DE-627)ELV010517057 volume:629 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.physb.2021.413639 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 51.30 Werkstoffprüfung Werkstoffuntersuchung VZ AR 629 2022 15 0315 0 |
allfieldsSound |
10.1016/j.physb.2021.413639 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica (DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 DE-627 ger DE-627 rakwb eng 540 VZ 51.30 bkl Martínez, Eduardo D. verfasserin aut Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier Brites, Carlos D.S. oth Urbano, Ricardo R. oth Rettori, Carlos oth Carlos, Luis D. oth Enthalten in Elsevier Bredács, M. ELSEVIER Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques 2023 Amsterdam (DE-627)ELV010517057 volume:629 year:2022 day:15 month:03 pages:0 https://doi.org/10.1016/j.physb.2021.413639 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 51.30 Werkstoffprüfung Werkstoffuntersuchung VZ AR 629 2022 15 0315 0 |
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Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
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hyperspectral imaging thermometry assisted by upconverting nanoparticles: experimental artifacts and accuracy |
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Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
abstract |
We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. |
abstractGer |
We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. |
abstract_unstemmed |
We combined the sensing capabilities of Er3+-doped upconverting nanoparticles (UCNPs) with hyperspectral microscopy to construct thermal images on thermally active nanostructures. Here, we studied the heat dissipation of a percolating network of silver nanowires under controlled electric current flow. We quantified the electrothermal action by analyzing the hyperspectral data and constructing 2D maps for the emission intensity, the signal-to-noise ratio, and the thermometric parameter. By studying selected clusters in the network, we concluded that the temperature is quite uniform across the film without any significant thermal gradients. Nonetheless, the thermal evolution was clearly sensed by the UCNPs when the heat dissipation due to the Joule effect was turned on and off, validating the use of this method for studying slow-dynamic thermal processes. Finally, we discuss the accuracy of the thermal readings and the systematic limitations of the proposed method. |
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Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
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