Evidence map›Paper›PMID 42007044›Full record

ArticleACS measurement science au2026

Overcoming Subjectivity in Bandgap Evaluation through On-Resonance Fluorescence: Establishing a Robust and Objective Optical Metric for Fluorescent Materials.

Huy Pham, Rongjing Yan, Joshua McEachin, Shengli Zou, Dongmao Zhang

Abstract read
In one paragraph

Article in ACS measurement science au, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Huy PhamDepartment of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.ORCID https://orcid.org/0009-0007-1073-6571
Rongjing YanDepartment of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.
Joshua McEachinDepartment of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.ORCID https://orcid.org/0009-0009-8280-8794
Shengli ZouDepartment of Chemistry, University of Central Florida, Orlando, Florida 32816, United States.ORCID https://orcid.org/0000-0003-1302-133X
Dongmao ZhangDepartment of Chemistry, Mississippi State University, Mississippi State, Mississippi 39762, United States.ORCID https://orcid.org/0000-0002-2303-7338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate determination of optical bandgaps is essential for understanding and designing materials used in photovoltaics, photocatalysis, light-emitting devices, and quantum technologies. Yet, the most widely employed methods, such as Tauc-plot and photoelectron spectroscopy extrapolation, remain inherently subjective, relying on user-defined fitting regions and/or assumptions about transition types. Here we demonstrate that on-resonance fluorescence (ORF), a universal photophysical process occurring where absorption and emission spectra overlap, provides a direct, objective, and experimentally accessible measure of bandgap energy in fluorescent materials. We show both theoretically and experimentally that the ORF peak wavelength corresponds to the electronic bandgap, independent of scattering, absorption tails, or operator bias. In contrast to traditional methods that are valid only for single-bandgap systems and yield erroneous results for materials containing multiple emissive components, the ORF approach uniquely resolves the individual bandgaps of multicomponent or heterojunction samples without sample separation or prior assumptions. Using small-molecule fluorophores, quantum dots, and OLED dopants as model systems, we establish ORF as a broadly applicable, high-throughput, and reproducible approach for bandgap evaluation with experimental accuracy within ± 0.01 eV. Another key breakthrough capability is the determination of the individual bandgaps in samples containing two fluorescence materials. Beyond its simplicity, this method reframes ORF as a quantitative spectroscopic marker of bandgaps, offering a paradigm-shifting, broadly accessible alternative to Tauc-based analyses for both research and chemical education.

Indexed as

BandgapEnergy diagramOn-resonance fluorescencePolarization spectroscopyTauc plot

Identifiers

PMID42007044
PMCPMC13087928

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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.