Skip to main navigation Skip to search Skip to main content

Enhancing multiphoton upconversion through energy clustering at sublattice level

  • Juan Wang
  • , Renren Deng
  • , Mark A. Macdonald
  • , Bolei Chen
  • , Jikang Yuan
  • , Feng Wang
  • , Dongzhi Chi
  • , Tzi Sum Andy Hor
  • , Peng Zhang
  • , Guokui Liu
  • , Yu Han
  • , Xiaogang Liu

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The applications of lanthanide-doped upconversionnanocrystals in biological imaging, photonics, photovoltaics and therapeutics have fuelled a growing demand for rational control over the emission profiles of the nanocrystals. A common strategy for tuning upconversion luminescence is to control the doping concentration of lanthanide ions. However, the phenomenon of concentration quenching of the excited state at high doping levels poses a significant constraint. Thus, the lanthanide ions have to be stringently kept at relatively low concentrations to minimize luminescence quenching. Here we describe a new class of upconversion nanocrystals adopting an orthorhombic crystallographic structure in which the lanthanide ions are distributed in arrays of tetrad clusters. Importantly, this unique arrangement enables the preservation of excitation energy within the sublattice domain and effectively minimizes the migration of excitation energy to defects, even in stoichiometric compounds with a high Yb 3+ content (calculated as 98 mol%). This allows us to generate an unusual four-photon-promoted violet upconversion emission from Er 3+ with an intensity that is more than eight times higher than previously reported. Our results highlight that the approach to enhancing upconversion through energy clustering at the sublattice level may provide new opportunities for light-triggered biological reactions and photodynamic therapy. © 2014 Macmillan Publishers Limited. All rights reserved.
Original languageEnglish
Pages (from-to)157-162
JournalNature Materials
Volume13
Issue number2
DOIs
Publication statusPublished - Feb 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Fingerprint

Dive into the research topics of 'Enhancing multiphoton upconversion through energy clustering at sublattice level'. Together they form a unique fingerprint.

Cite this