Evidence map›Paper›PMID 42367579›Full record

ArticleJournal of biomedical optics2026

Fluorescence properties of collagen types I-V: a comprehensive study of spectral and lifetime characteristics.

Xuhui Liu, Alexandra C Adams, Xiangnan Zhou, Julien Bec, Laura Marcu

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Xuhui LiuUniversity of California, Department of Biomedical Engineering, Davis, California, United States.ORCID https://orcid.org/0000-0002-2537-7838
Alexandra C AdamsUniversity of California, Department of Biomedical Engineering, Davis, California, United States.
Xiangnan ZhouUniversity of California, Department of Biomedical Engineering, Davis, California, United States.ORCID https://orcid.org/0000-0002-6715-5176
Julien BecUniversity of California, Department of Biomedical Engineering, Davis, California, United States.ORCID https://orcid.org/0000-0003-1222-4071
Laura MarcuUniversity of California, Department of Biomedical Engineering, Davis, California, United States.ORCID https://orcid.org/0000-0003-2369-0748

Funding

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh, Laura Marcu · 2022 to 2026
$6.7M
NIBIB NIH HHS P41 EB032840
6 · The paper itself

Abstract

Significance: Collagen autofluorescence provides valuable intrinsic contrast for assessing tissue structure, composition, and pathology. However, a comprehensive understanding of the fluorescence properties across different collagen types remains limited. This knowledge gap may limit the development of advanced label-free fluorescence spectroscopy and imaging techniques for specific tissue characterization and diagnostic applications. Aim: This study aims to comprehensively characterize the fluorescence intensity excitation-emission matrices (I-EEMs) and time-resolved excitation-emission matrices (TR-EEMs) of collagen standards from types I, II, III, IV, and V obtained from various organ sources under both dry and hydrated conditions, to identify optimal excitation-emission parameters for each collagen type discrimination, and to establish a reference dataset that supports future research in label-free tissue characterization. Approach: We employed a time-resolved fluorescence spectroscopy system equipped with an optical parametric oscillator laser (excitation: 200 to 2000 nm, pulse width: 30 ps) as an excitation source to generate I-EEMs and TR-EEMs of human and bovine collagen types I-V. The fluorescence light was obtained by a multichannel plate photomultiplier tube through a monochromator (spectral range: 200 to 1000 nm). Measurements were conducted using collagen standards, under both dry and hydrated states. In addition, photobleaching effects were assessed to ensure the reliability and reproducibility of fluorescence data. Results: Each collagen type exhibited distinct I-EEM and TR-EEM signatures, with fluorescence lifetimes ranging from 2.5 ns (type III, bovine skin) to 5.3 ns (types II and V). Fibrillar collagens (types I and V) displayed broader I-EEMs, whereas basement membrane collagen (type IV) showed the narrowest spectral distribution. Organ-source-dependent variations were evident within the same collagen type. Type I collagen from human placenta exhibited an inverse lifetime-emission wavelength relationship compared with bovine sources. Hydration consistently red-shifted emission peaks into the 395 to 420 nm range and reduced fluorescence lifetimes across all collagen types (e.g., type I bovine Achilles tendon: 3.2 to 5.0 ns dry versus 3.0 to 4.5 ns hydrated). Despite excitation wavelength- and fluence-dependent photobleaching of fluorescence intensity, fluorescence lifetimes remained relatively stable, confirming the robustness of lifetime-based measurements. Conclusions: This study establishes a comprehensive reference dataset for the fluorescence properties of collagen types I-V and demonstrates the potential of combined I-EEMs and TR-EEMs analysis for tissue characterization. The results highlight species-, organ-, type-, and environment-specific optical fingerprints of similar collagens, which must be considered before implementing more in-depth studies on how the optical properties of collagen change in different medical applications.

Indexed as

CollagenCollagen Type ICollagen Type VAnimalsCattleHumansOptical ImagingSpectrometry, FluorescenceCollagenCollagen Type ICollagen Type Vbiomedical opticscollagenexcitation-emission matrixfluorescence lifetimetissue characterization

Identifiers

PMID42367579
PMCPMC13309843

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LicenceCC BY
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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.