A cost-effective quantum yield measurement setup for upconverting nanoparticles
authors Balabhadra, S; Debasu, ML; Brites, CDS; Ferreira, RAS; Carlos, LD
nationality International
journal JOURNAL OF LUMINESCENCE
author keywords Emission quantum yield; Upconverting nanoparticles; Integrating sphere; SrF2:Yb3+/Er3+ colloidal suspension
keywords UP-CONVERSION NANOCRYSTALS; LUMINESCENCE EFFICIENCY; POWER DEPENDENCE; LANTHANIDE; EXCITATION; GRAPHENE; PHOSPHOR; CELLS
abstract Generally, emission quantum yield values of upconverting nanoparticles are not reported, despite its importance for characterizing the material's performance, because the measurements require quite expensive setups (a single photomultiplier operating in a broad spectral regions from the visible to the near-infrared) and laborious procedures (spectral mismatch correction when two photomultipliers are used). Here we describe the implementation of a simple and cost-effective quantum yield measurement setup using a commercial integrating sphere-based spectrometer operating in the visible spectral range and a power meter to determine the incident number of photons. First, we validate the experimental methodology using well-known down-shifting standard phosphors (sodium salicylate and perylene). Then, we use the developed setup in an illustrative example of upconverting nanoparticles, SrF2:Yb3-1-/ Er3+ (20/2%), to quantify their emission quantum yield values in powder (0.0057 +/- 0.0002 at 388 W cm(-2)) and water suspension (0.0028 +/- 0.0001 at 395 W cm(-2)). (C) 2017 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE BV
issn 0022-2313
year published 2017
volume 189
beginning page 64
ending page 70
digital object identifier (doi) 10.1016/j.jlumin.2017.03.054
web of science category Optics
subject category Optics
unique article identifier WOS:000404197800006
  ciceco authors
  impact metrics
times cited (wos core): 1
journal impact factor (jcr 2016): 2.686
5 year journal impact factor (jcr 2016): 2.558
category normalized journal impact factor percentile (jcr 2016): 73.370
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