Evidence map›Paper›PMID 35896538›Full record

ArticleLight, science & applications2022

Less is more: dimensionality reduction as a general strategy for more precise luminescence thermometry.

Erving Ximendes, Riccardo Marin, Luis Dias Carlos, Daniel Jaque

Abstract read
In one paragraph

Article in Light, science & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Luminescence Thermometry with EuMaterials (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Ultrasensitive Colorimetric Luminescence Thermometry by Progressive Phase Transition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Exploiting High-Energy Emissions of YAlOSensors (Basel, Switzerland) · 2022
    Article
  18. Special Issue: Rare earth luminescent materials.Light, science & applications · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Erving XimendesNanoBIG, Departamento de Fısica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid, 28049, Spain. erving.ximendes@uam.es.
Riccardo MarinNanoBIG, Departamento de Fısica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid, 28049, Spain. riccardo.marin@uam.es.ORCID http://orcid.org/0000-0003-3270-892X
Luis Dias CarlosPhantom-g, CICECO - Aveiro Institute of Materials, Department of Physics, University of Aveiro, Aveiro, 3810-193, Portugal.ORCID http://orcid.org/0000-0003-4747-6535
Daniel JaqueNanoBIG, Departamento de Fısica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid, 28049, Spain.ORCID http://orcid.org/0000-0002-3225-0667

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal resolution (also referred to as temperature uncertainty) establishes the minimum discernible temperature change sensed by luminescent thermometers and is a key figure of merit to rank them. Much has been done to minimize its value via probe optimization and correction of readout artifacts, but little effort was put into a better exploitation of calibration datasets. In this context, this work aims at providing a new perspective on the definition of luminescence-based thermometric parameters using dimensionality reduction techniques that emerged in the last years. The application of linear (Principal Component Analysis) and non-linear (t-distributed Stochastic Neighbor Embedding) transformations to the calibration datasets obtained from rare-earth nanoparticles and semiconductor nanocrystals resulted in an improvement in thermal resolution compared to the more classical intensity-based and ratiometric approaches. This, in turn, enabled precise monitoring of temperature changes smaller than 0.1 °C. The methods here presented allow choosing superior thermometric parameters compared to the more classical ones, pushing the performance of luminescent thermometers close to the experimentally achievable limits.

Identifiers

PMID35896538
PMCPMC9329371

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.