School of Computer and Information Engineering, Hunan University of Technology and Business, Changsha 410205, China.
Department of Physics and Electronic Science, Hunan University of Science and Technology, Xiangtan 411201, China.
Nano Lett. 2021 Jan 13;21(1):272-278. doi: 10.1021/acs.nanolett.0c03637. Epub 2020 Dec 29.
Upconversion nanoparticles have recently received increasing attention due to their outstanding performance in temperature sensing at the nanoscale. Although much effort has been devoted to improve their thermal sensitivity, there is no efficient way for achieving significant enhancement. Here, we show that lattice self-adaptation can unlock a new route for remarkably enhancing the thermal sensitivity of upconversion nanoparticles. The thermally sensitive fluorescence intensity ratio () of the dopant Er is used for indicating the temperature variation, while a heterojunction of NaGdF/NaYF is prepared as host material to produce a lattice distortion at the interface which is also sensitive to temperature. With the increase of temperature, the of the transitions H/S → I increases, accompanied by the self-adapted decrease of interface lattice distortion that leads to the additional increase in . Using core/shell upconversion nanoparticles with lattice self-adaptation, we achieve an enhanced thermal sensitivity three times higher than core-only nanoparticles.
上转换纳米粒子由于其在纳米尺度温度传感方面的优异性能，最近受到了越来越多的关注。尽管已经付出了很大的努力来提高它们的热灵敏度，但还没有有效的方法来实现显著的增强。在这里，我们表明晶格自适应可以为显著提高上转换纳米粒子的热灵敏度开辟一条新途径。掺杂 Er 的荧光强度比（）用于指示温度变化，而 NaGdF/NaYF 的异质结则用作基质材料，在界面处产生对温度敏感的晶格变形。随着温度的升高，H/S → I 跃迁的增加，同时界面晶格变形的自适应减小导致额外的增加。使用具有晶格自适应的核/壳上转换纳米粒子，我们实现了比仅核纳米粒子高三倍的增强热灵敏度。
