Issue 44, 2023

Ion-induced bias in Ag2S luminescent nanothermometers

Abstract

Luminescence nanothermometry allows measuring temperature remotely and in a minimally invasive way by using the luminescence signal provided by nanosized materials. This technology has allowed, for example, the determination of intracellular temperature and in vivo monitoring of thermal processes in animal models. However, in the biomedical context, this sensing technology is crippled by the presence of bias (cross-sensitivity) that reduces the reliability of the thermal readout. Bias occurs when the impact of environmental conditions different from temperature also modifies the luminescence of the nanothermometers. Several sources that cause loss of reliability have been identified, mostly related to spectral distortions due to interaction between photons and biological tissues. In this work, we unveil an unexpected source of bias induced by metal ions. Specifically, we demonstrate that the reliability of Ag2S nanothermometers is compromised during the monitoring of photothermal processes produced by iron oxide nanoparticles. The observed bias occurs due to the heat-induced release of iron ions, which interact with the surface of the Ag2S nanothermometers, enhancing their emission. The results herein reported raise a warning to the community working on luminescence nanothermometry, since they reveal that the possible sources of bias in complex biological environments, rich in molecules and ions, are more numerous than previously expected.

Graphical abstract: Ion-induced bias in Ag2S luminescent nanothermometers

Supplementary files

Article information

Article type
Paper
Submitted
29 7 2023
Accepted
18 10 2023
First published
19 10 2023
This article is Open Access
Creative Commons BY license

Nanoscale, 2023,15, 17956-17962

Ion-induced bias in Ag2S luminescent nanothermometers

M. París Ogáyar, D. Mendez-Gonzalez, I. Zabala Gutierrez, Á. Artiga, J. Rubio-Retama, O. G. Calderón, S. Melle, A. Serrano, A. Espinosa, D. Jaque and R. Marin, Nanoscale, 2023, 15, 17956 DOI: 10.1039/D3NR03728B

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