{
  "abstract": "Here, we evaluate a full-spectrum, data-driven readout framework, termed Luminescence Thermometry 2.0, in which normalized emission spectra are used directly as inputs to temperature regression. We benchmark this approach against conventional luminescence-intensity ratio thermometry using the same experimental dataset obtained from the upconversion and downshifting emissions of Er3+,Yb3+-co-doped yttrium oxyfluoride nanoparticles. Relative to the best-performing conventional LIR calibration, full-spectrum regression reduces the absolute prediction bias by up to approximately 2.5-fold and the prediction spread by 24% for visible green upconversion. For near-infrared emission, the corresponding reductions reach approximately 2.2-fold and 8.6-fold, respectively. The approach reduces feature-selection bias and exploits temperature-encoded information that conventional analysis discards. Shapley additive explanations for the best-performing Gaussian process regression model identify the Er3+ spectral regions that dominate temperature prediction, linking the improved performance to physically meaningful emission features. These results demonstrate improved temperature readout using full-spectrum regression for YOF:Er3+/Yb3+ under the investigated conditions. Matched synthetic-background tests showed that training-set augmentation reduced background-induced set-point bias, with effects that depended on the regression method and normalization.",
  "abstract_shown": true,
  "affiliations": [
    "Centre of Excellence for Photoconversion, Vinča Institute of Nuclear Sciences—National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11001 Belgrade, Serbia",
    "National Institute of Research and Development for Electrochemistry and Condensed Matter, INCEMC, Str. Dr. A. Păunescu Podeanu Nr.144, 300569 Timisoara, Romania"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zoran Ristić",
      "orcid": "0000-0002-1854-284X"
    },
    {
      "affs": [
        0
      ],
      "name": "Jovana Periša",
      "orcid": "0000-0002-4683-0603"
    },
    {
      "affs": [
        0
      ],
      "name": "Aleksandar Ćirić",
      "orcid": "0000-0003-2492-9036"
    },
    {
      "affs": [
        0
      ],
      "name": "Milica Maričić",
      "orcid": "0000-0002-9631-7779"
    },
    {
      "affs": [
        0
      ],
      "name": "Anđela Rajčić",
      "orcid": "0009-0002-8242-7050"
    },
    {
      "affs": [
        0
      ],
      "name": "Tamara Gavrilović",
      "orcid": "0000-0002-6581-2662"
    },
    {
      "affs": [
        0
      ],
      "name": "Željka Antić"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Miroslav D. Dramićanin",
      "orcid": "0000-0003-4750-5359"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/06z57bz1w61b8.bib",
  "cited_by": 0,
  "doi": "10.3390/nano16191238",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13667202/?tool=EBI",
  "id": "06z57bz1w61b8",
  "issns": [
    "2079-4991"
  ],
  "landing_url": "https://europepmc.org/article/PMC/PMC13667202",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2505|Luminescence Properties of Advanced Materials"
    ]
  ],
  "openalex": "W7214961780",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13667202/pdf/?tool=EBI",
  "pmcid": "PMC13667202",
  "pmid": null,
  "published": "2026-09-30",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/06z57bz1w61b8.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:35Z",
      "native_id": "PMC:PMC13667202",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13667202"
    },
    {
      "first_seen": "2026-10-30T12:18:45Z",
      "native_id": "10.3390/nano16191238",
      "source": "crossref",
      "url": "https://www.mdpi.com/2079-4991/16/19/1238"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2505|Luminescence Properties of Advanced Materials",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Luminescence Thermometry 2.0: Machine-Learning Temperature Read-Out with Luminescence of YOF: Yb3+, Er3+ Nanoparticles",
  "title_text": "Luminescence Thermometry 2.0: Machine-Learning Temperature Read-Out with Luminescence of YOF: Yb3+, Er3+ Nanoparticles",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:45Z",
  "url": "https://research.draconitic.com/paper/06z57bz1w61b8",
  "venue": "Nanomaterials (Basel, Switzerland)",
  "versions": []
}