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Proceedings Paper

Strategies to enhance the sensitivity of NaGdF4:Yb-Tm based nanothermometers
Author(s): Daria V. Pominova; Vera Yu. Proydakova; Igor D. Romanishkin; Anastasiya V. Ryabova; Pavel V. Grachev; Sergey V. Kuznetsov; Valerii V. Voronov; Pavel P. Fedorov
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Paper Abstract

The Yb3+-Tm3+-doped NaGdF4 upconversion nanoparticles were studied as contactless nanothermometers for the first biological tissue transparency window under 980 nm excitation. The single hexagonal phase NaGdF4:Yb3+-Tm3+ nanoparticles were synthesized by solvothermal technique. The influence of dopants concentration and pumping power density on thermal sensitivity and temperature resolution of obtained nanoparticles was analyzed. It was shown, that an increase of Yb3+ doping concentration leads to a strong increase in near-infrared Tm3+ luminescence intensity, which corresponds to transitions 3F2-3H6, 3F3-3H6, 3H4-3H6 and could be used for thermometry. The measured efficiency of upconversion luminescence for 80% of Yb3+ and 2% of Tm3+ doped nanoparticles was 5.0% compared to 0.2% efficiency for 30% of Yb3+ and 0.5% of Tm3+ doped nanoparticles. Laser induced heating of synthesized nanoparticles with ratiometric temperature measurement was studied. The increase of pumping power density negatively affected the sensitivity, but increased the accuracy of measurement due to the increased near-infrared luminescence. In addition, the comparison of different wavelengths for ratiometric thermal calibration was performed. It was shown, that the use of 680-720 nm luminescence peak to 730-750 nm valley intensity ratio for thermometry promotes significant enhancement of thermal sensitivity and temperature resolution. Thermal sensitivity of 4%∙C-1 and temperature resolution of 0.6˚C in 30-36˚C region were obtained for NaGdF4 nanoparticles doped with 80% of Yb3+ and 2% of Tm3+.

Paper Details

Date Published: 3 June 2019
PDF: 8 pages
Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 110671B (3 June 2019); doi: 10.1117/12.2523177
Show Author Affiliations
Daria V. Pominova, Prokhorov General Physics Institute (Russian Federation)
Vera Yu. Proydakova, Prokhorov General Physics Institute (Russian Federation)
Igor D. Romanishkin, Prokhorov General Physics Institute (Russian Federation)
Anastasiya V. Ryabova, Prokhorov General Physics Institute (Russian Federation)
Pavel V. Grachev, Prokhorov General Physics Institute (Russian Federation)
Sergey V. Kuznetsov, Prokhorov General Physics Institute (Russian Federation)
Valerii V. Voronov, Prokhorov General Physics Institute (Russian Federation)
Pavel P. Fedorov, Prokhorov General Physics Institute (Russian Federation)


Published in SPIE Proceedings Vol. 11067:
Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions
Dmitry Engelevich Postnov, Editor(s)

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