Evidence map›Paper›PMID 41998129›Full record

ArticleScientific reports2026

UV excited optical and temperature sensing properties of Sr

Bungala Chinna Jamalaiah, Gunisetty Ramasekhar, Abbaireddy Divya

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bungala Chinna JamalaiahDepartment of Physics, Rajeev Gandhi Memorial College of Engineering and Technology, 518501, Nandyal, Andhra Pradesh, India.
Gunisetty RamasekharDepartment of Mathematics, Rajeev Gandhi Memorial College of Engineering and Technology , 518501, Nandyal, Andhra Pradesh, India.
Abbaireddy DivyaSchool of Technology, The Apollo University, 517127, chittoor, Andhra Pradesh, India. divya_abbaireddy@apollouniversity.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Er3+ activated Sr3Gd(1−x)(PO4)3 phosphors were synthesized via modified citrate sol-gel combustion method. Powder X-ray diffraction was adopted for phase examination. Field emission scanning electron microscopy was employed for morphology and elemental mapping. They exhibit Er3+ emission bands related to (2H11/2,4S3/2, 4F9/2) → 4I15/2 transitions up on 376 nm UV excitation. They produce potential greenish-yellow emission of colour purity of 94.71% with Commission International de I’Eclairage (CIE) coordinates (0.289, 0.698). The Er3+ doping was optimized as 1% for prominent luminescence. The CIE coordinates were predicted to assess their effectiveness through three different machine learning algorithms such as the Random Forest regression, Extreme Gradient Boosting regression and Light Gradient Boosting Machine regression. The findings show that all the three models have considerable accuracy for prediction with overall test root square, R2 ≥ 0.96285 and provide useful information for choosing appropriate CIE coordinates for real-world applications. The quenching temperature was found higher than 300 °C showing their good thermal stability with 0.235 eV activation energy. The optimal phosphor shows a maximum absolute sensitivity of 0.00464 K− 1 at 573 K and relative sensitivity of 0.934%K− 1 at 373 K. The Sr3Gd(PO4)3: 1%Er3+phosphor possess excellent optical as well as temperature sensing properties.

Indexed as

LED displaysMachine learning modelsPhosphate phosphorTemperature sensorsTrivalent erbium ions

Identifiers

PMID41998129
PMCPMC13249829

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