Small Alkaline-Earth-based Core/Shell Nanoparticles for Efficient Upconversion
Article 2019 en
Authors
SF
Stefan Fischer
RM
Randy D. Mehlenbacher
AL
Alice Lay
Abstract
1 min read
The optical efficiency of lanthanide-based upconversion is intricately related to the crystalline host lattice. Different crystal fields interacting with the electron clouds of the lanthanides can significantly affect transition probabilities between the energy levels. Here, we investigate six distinct alkaline-earth rare-earth fluoride host materials (M<sub>1- x</sub>Ln <sub>x</sub>F<sub>2+x</sub>, MLnF) for infrared-to-visible upconversion, focusing on nanoparticles of CaYF, CaLuF, SrYF, SrLuF, BaYF, and BaLuF doped with Yb<sup>3+</sup> and Er<sup>3+</sup>. We first synthesize ∼5 nm upconverting cores of each material via a thermal decomposition method. Then we introduce a dropwise hot-injection method to grow optically inert MYF shell layers around the active cores. Five distinct shell thicknesses are considered for each host material, resulting in 36 unique, monodisperse upconverting nanomaterials each with size below ∼15 nm. The upconversion quantum yield (UCQY) is measured for all core/shell nanoparticles as a function of shell thickness and compared with hexagonal (β-phase) NaGdF<sub>4</sub>, a traditional upconverting host lattice. While the UCQY of core nanoparticles is below the detection limit (<10<sup>-5</sup>%), it increases by 4 to 5 orders of magnitude as the shell thickness approaches 4-6 nm. The UCQY values of our cubic MLnF nanoparticles meet or exceed the β-NaGdF<sub>4</sub> reference sample. Across all core/shell samples, SrLuF nanoparticles are the most efficient, with UCQY values of 0.53% at 80 W/cm<sup>2</sup> for cubic nanoparticles with ∼11 nm edge length. This efficiency is 5 times higher than our β-NaGdF<sub>4</sub> reference material with comparable core size and shell thickness. Our work demonstrates efficient and bright upconversion in ultrasmall alkaline-earth-based nanoparticles, with applications spanning biological imaging and optical sensing.
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