Mn5+ lifetime-based thermal imaging in the optical transparency windows through skin-mimicking tissue phantom
Entity
UAM. Departamento de Física Aplicada; UAM. Departamento de Física de MaterialesPublisher
WileyDate
2022-12-03Citation
10.1002/adom.202202366
Advanced Optical Materials 11.33 (2023): 2202366
ISSN
2195-1071 (online)DOI
10.1002/adom.202202366Project
Gobierno de España. PID2019-106211RB-I00; Gobierno de España. PID2020-118878RB-I00; Comunidad de Madrid. B2017/BMD-3867/RENIM-CMEditor's Version
https://doi.org/10.1002/adom.202202366Subjects
Ba (VO ) 3 4 2; Lifetime; Luminescence Thermometry; Manganese; Near-Infrared; Thermal Imaging; FísicaRights
© 2022 The Authors. Advanced Optical Materials published by Wiley-VCH GmbHAbstract
Lifetime-based luminescence thermometry has been shown to enable accurate deep-tissue monitoring of temperature changes – even at the in vivo level – in a minimally invasive way. However, major limiting factors to the performance of this approach are short lifetimes and poor brightness. These are characteristics, respectively, of semiconductor nanocrystals and lanthanide-doped nanoparticles, of which most luminescent nanothermometers are made. To address these limitations, the composition of luminescent nanothermometers co-doped with transition metal (Mn5+) and Er3+ ions are designed and optimized. The salient features of these nanothermometers are strong, near-infrared emission and long, temperature-dependent photoluminescence lifetime. The potential of these luminescent nanophosphors for thermal sensing is then showcased by monitoring a thermal gradient using a one-of-a-kind piece of equipment designed for lifetime-based luminescence thermometry measurements. The combination of the newly developed nanothermometers and the custom-made instrument allows for obtaining 2D thermal maps both in the absence and presence of tissue phantoms mimicking the optical properties of the skin. The results presented in this study thus provide credible foundations for the deployment of lifetime-based thermometry for accurate deep-tissue thermal mapping at the preclinical level
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Google Scholar:Piotrowski, Wojciech M.
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Marin, Riccardo
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Szymczak, Maja
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Martín Rodríguez, Emma
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Ortgies, Dirk H.
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Rodríguez-Sevilla, Paloma
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Dramićanin, Miroslav D.
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Jaque García, Daniel
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Marciniak, Lukasz
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