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Record W4410391657 · doi:10.1097/opx.0000000000002260

Evaluating the initial and end‐of‐day wettability of contemporary daily disposable contact lenses using various <i>in vitro</i> methods

2025· article· en· W4410391657 on OpenAlexaff
Chau‐Minh Phan, Brandon Ho, Alex Hui, H. Walther, Ying Zheng, Lakshman N. Subbaraman, Xinfeng Shi, James Yuliang Wu, Lyndon Jones

Bibliographic record

VenueOptometry and Vision Science · 2025
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversity of Waterloo
FundersAlcon
KeywordsWettingContact lensSessile drop techniqueMaterials scienceContact angleSilicone hydrogelOphthalmologyMedicineComposite material

Abstract

fetched live from OpenAlex

SIGNIFICANCE: Contact lens wettability is potentially correlated with friction, which is linked to lens comfort. However, measuring wettability can be highly variable. This study assessed wettability using three techniques for a more accurate profile. PURPOSE: To evaluate the wettability of contemporary daily disposable contact lenses after 16 hours on an in vitro model using the sessile drop, captive bubble, and a novel in vit ro noninvasive keratograph breakup time (NIKBUT) method. METHODS: The wettability of six contemporary silicone hydrogel contact lens materials (verofilcon A, delefilcon A, senofilcon A, kalifilcon A, stenfilcon A, and somofilcon A) and two conventional hydrogel materials (nesofilcon A and etafilcon A) were evaluated using an in vitro blink model at t = 0 and 16 hours. The blink rates of the eye model were 20 blinks per minute. Sessile drop and captive bubble angles were analyzed using the Optical Contact Analyzer. NIKBUT was assessed on a blink model in combination with the OCULUS Keratograph 5M. RESULTS: There were no significant differences in wettability for any lens types between 0 and 16 hours when assessed using the captive bubble or NIKBUT methods (p>0.05). For the sessile drop method, verofilcon A had the lowest contact angle values (36.5 ± 2.9°), and all lenses except for etafilcon A had similar wettability after 16 hours. All the lenses had similar wettability when assessed using the captive bubble method, suggesting that they had similar wettability under optimal wetting conditions. For NIKBUT, delefilcon A had the longest NIKBUT values (9.0 ± 1.0 s) after 16 hours. CONCLUSIONS: The sessile drop technique produced the most measurable differences in wettability between different lens types, whereas the captive bubble technique was not able to provide any measurable differences between lenses. NIKBUT measurements may provide a better measure of on-eye wettability, but variability in the results using the current eye model still needs to be addressed in future studies for improved repeatability. Although the contact lenses showed different contact angles and NIKBUT results, their in vitro wettability did not significantly change over the 16 hours of simulated wear in terms of the captive bubble or NIKBUT values.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.520
Teacher spread0.452 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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