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
Gespeichert in:
| Autor*in: |
Martínez, Eduardo D. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques - Bredács, M. ELSEVIER, 2023, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:629 ; year:2022 ; day:15 ; month:03 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.physb.2021.413639 |
|---|
| Katalog-ID: |
ELV056776926 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV056776926 | ||
| 003 | DE-627 | ||
| 005 | 20230626043939.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220808s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.physb.2021.413639 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica |
| 035 | |a (DE-627)ELV056776926 | ||
| 035 | |a (ELSEVIER)S0921-4526(21)00785-7 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 540 |q VZ |
| 084 | |a 51.30 |2 bkl | ||
| 100 | 1 | |a Martínez, Eduardo D. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
| 264 | 1 | |c 2022transfer abstract | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 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. | ||
| 650 | 7 | |a Upconversion |2 Elsevier | |
| 650 | 7 | |a Hyperspectral microscopy |2 Elsevier | |
| 650 | 7 | |a Luminescence |2 Elsevier | |
| 650 | 7 | |a Optical thermometry |2 Elsevier | |
| 650 | 7 | |a Silver nanowires |2 Elsevier | |
| 700 | 1 | |a Brites, Carlos D.S. |4 oth | |
| 700 | 1 | |a Urbano, Ricardo R. |4 oth | |
| 700 | 1 | |a Rettori, Carlos |4 oth | |
| 700 | 1 | |a Carlos, Luis D. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Bredács, M. ELSEVIER |t Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |d 2023 |g Amsterdam |w (DE-627)ELV010517057 |
| 773 | 1 | 8 | |g volume:629 |g year:2022 |g day:15 |g month:03 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.physb.2021.413639 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a GBV_ILN_203 | ||
| 912 | |a GBV_ILN_227 | ||
| 912 | |a GBV_ILN_2010 | ||
| 936 | b | k | |a 51.30 |j Werkstoffprüfung |j Werkstoffuntersuchung |q VZ |
| 951 | |a AR | ||
| 952 | |d 629 |j 2022 |b 15 |c 0315 |h 0 | ||
| author_variant |
e d m ed edm |
|---|---|
| matchkey_str |
martnezeduardodbritescarlosdsurbanoricar:2022----:yesetaiaighroerassebucnetnnnprilsxei |
| hierarchy_sort_str |
2022transfer abstract |
| bklnumber |
51.30 |
| publishDate |
2022 |
| allfields |
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 |
| spelling |
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 |
| language |
English |
| source |
Enthalten in Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques Amsterdam volume:629 year:2022 day:15 month:03 pages:0 |
| sourceStr |
Enthalten in Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques Amsterdam volume:629 year:2022 day:15 month:03 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Werkstoffprüfung Werkstoffuntersuchung |
| institution |
findex.gbv.de |
| topic_facet |
Upconversion Hyperspectral microscopy Luminescence Optical thermometry Silver nanowires |
| dewey-raw |
540 |
| isfreeaccess_bool |
false |
| container_title |
Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
| authorswithroles_txt_mv |
Martínez, Eduardo D. @@aut@@ Brites, Carlos D.S. @@oth@@ Urbano, Ricardo R. @@oth@@ Rettori, Carlos @@oth@@ Carlos, Luis D. @@oth@@ |
| publishDateDaySort_date |
2022-01-15T00:00:00Z |
| hierarchy_top_id |
ELV010517057 |
| dewey-sort |
3540 |
| id |
ELV056776926 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056776926</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626043939.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.physb.2021.413639</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056776926</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0921-4526(21)00785-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.30</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Martínez, Eduardo D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Upconversion</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hyperspectral microscopy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Luminescence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Optical thermometry</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Silver nanowires</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brites, Carlos D.S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Urbano, Ricardo R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rettori, Carlos</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carlos, Luis D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Bredács, M. ELSEVIER</subfield><subfield code="t">Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques</subfield><subfield code="d">2023</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV010517057</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:629</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.physb.2021.413639</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_203</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_227</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.30</subfield><subfield code="j">Werkstoffprüfung</subfield><subfield code="j">Werkstoffuntersuchung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">629</subfield><subfield code="j">2022</subfield><subfield code="b">15</subfield><subfield code="c">0315</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Martínez, Eduardo D. |
| spellingShingle |
Martínez, Eduardo D. ddc 540 bkl 51.30 Elsevier Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
| authorStr |
Martínez, Eduardo D. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV010517057 |
| format |
electronic Article |
| dewey-ones |
540 - Chemistry & allied sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
540 VZ 51.30 bkl Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires Elsevier |
| topic |
ddc 540 bkl 51.30 Elsevier Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires |
| topic_unstemmed |
ddc 540 bkl 51.30 Elsevier Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires |
| topic_browse |
ddc 540 bkl 51.30 Elsevier Upconversion Elsevier Hyperspectral microscopy Elsevier Luminescence Elsevier Optical thermometry Elsevier Silver nanowires |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
c d b cd cdb r r u rr rru c r cr l d c ld ldc |
| hierarchy_parent_title |
Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
| hierarchy_parent_id |
ELV010517057 |
| dewey-tens |
540 - Chemistry |
| hierarchy_top_title |
Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV010517057 |
| title |
Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
| ctrlnum |
(DE-627)ELV056776926 (ELSEVIER)S0921-4526(21)00785-7 |
| title_full |
Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
| author_sort |
Martínez, Eduardo D. |
| journal |
Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
| journalStr |
Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Martínez, Eduardo D. |
| container_volume |
629 |
| class |
540 VZ 51.30 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Martínez, Eduardo D. |
| doi_str_mv |
10.1016/j.physb.2021.413639 |
| dewey-full |
540 |
| title_sort |
hyperspectral imaging thermometry assisted by upconverting nanoparticles: experimental artifacts and accuracy |
| title_auth |
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. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_203 GBV_ILN_227 GBV_ILN_2010 |
| title_short |
Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy |
| url |
https://doi.org/10.1016/j.physb.2021.413639 |
| remote_bool |
true |
| author2 |
Brites, Carlos D.S. Urbano, Ricardo R. Rettori, Carlos Carlos, Luis D. |
| author2Str |
Brites, Carlos D.S. Urbano, Ricardo R. Rettori, Carlos Carlos, Luis D. |
| ppnlink |
ELV010517057 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1016/j.physb.2021.413639 |
| up_date |
2024-07-06T21:22:07.852Z |
| _version_ |
1803866265723338752 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056776926</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626043939.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.physb.2021.413639</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001671.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056776926</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0921-4526(21)00785-7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.30</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Martínez, Eduardo D.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hyperspectral imaging thermometry assisted by upconverting nanoparticles: Experimental artifacts and accuracy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Upconversion</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hyperspectral microscopy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Luminescence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Optical thermometry</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Silver nanowires</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brites, Carlos D.S.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Urbano, Ricardo R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rettori, Carlos</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Carlos, Luis D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Bredács, M. ELSEVIER</subfield><subfield code="t">Towards circular plastics: Density and MFR prediction of PE with IR spectroscopic techniques</subfield><subfield code="d">2023</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV010517057</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:629</subfield><subfield code="g">year:2022</subfield><subfield code="g">day:15</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.physb.2021.413639</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_203</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_227</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.30</subfield><subfield code="j">Werkstoffprüfung</subfield><subfield code="j">Werkstoffuntersuchung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">629</subfield><subfield code="j">2022</subfield><subfield code="b">15</subfield><subfield code="c">0315</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.3987026 |