Evidence map›Paper›PMID 42187492›Full record

ArticleBiosensors2026

An LSPR-Active AuNP-Silicone Hydrogel Contact Lens for Continuous Ocular Strain Sensing: From Engineering Design to In Vivo Validation.

Yu Tang, Luhua Meng, Yun Liu, Xiang Ma

Abstract read
In one paragraph

Article in Biosensors, 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

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.

Yu TangDepartment of Ophthalmology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0000-0001-5451-9324
Luhua MengSchool of Physics, Dalian University of Technology, Dalian 116024, China.ORCID 0009-0007-8166-7235
Yun LiuSchool of Physics, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0001-9384-4912
Xiang MaDepartment of Ophthalmology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous intraocular pressure (IOP) monitoring is crucial for glaucoma management. Currently, traditional static IOP measurements often fail to detect circadian fluctuations, leading to a clinical dilemma where "normal IOP" is observed despite persistent visual field deterioration. This study presents a wireless, passive localized surface plasmon resonance (LSPR) sensing platform integrated into flexible silicone hydrogel contact lenses. Gold nanoparticles (AuNPs), synthesized via the sodium citrate reduction method, were incorporated into the lens periphery using a "swelling-induced nano-doping" technique to transduce IOP-induced corneal strain into detectable spectral shifts. Ex vivo porcine eye investigations established a physical mapping model, confirming significant LSPR peak wavelength response trends in correlation with IOP variations (10-50 mmHg) and corneal curvature changes. Subsequent 21-day in vivo rabbit studies demonstrated excellent ocular surface biocompatibility; quantitative histopathological analysis (HE, PAS, and Ki67 staining) revealed no significant adverse alterations in corneal endothelial cell density or conjunctival goblet cell function compared to control groups (

Indexed as

Biosensing TechniquesContact LensesContact Lenses, HydrophilicMetal NanoparticlesSurface Plasmon ResonanceAnimalsGoldHydrogelsIntraocular PressureRabbitsSiliconesSwineGoldHydrogelsSiliconesbiocompatibilitygold nanoparticlesintraocular pressurelocalized surface plasmon resonancesilicone hydrogelsmart contact lenseswearable diagnostics

Identifiers

PMID42187492
PMCPMC13205067

What OpenQuestion holds

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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.