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Record W7117570748 · doi:10.1021/acsomega.5c09808

A User-Centered Approach in the Development of a Label-Free Impedimetric Chemiresistor for H <sub>2</sub> O <sub>2</sub>

2025· article· en· W7117570748 on OpenAlexafffund
Abigail K. Richards, Ruben Castillo Barberi, Justin Van Houten, Alana F. Ogata

Bibliographic record

VenueACS Omega · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsCollege of Family Physicians of CanadaCanada Research Chairs
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsChemiresistorUsabilityElectrical impedanceZeolitic imidazolate frameworkDielectric spectroscopyScalabilityFocus (optics)

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide A strong focus on laboratory optimization in new sensing technology often delays and sometimes prevents successful real-world implementation. Accordingly, we present a proof-of-concept impedimetric chemiresistor (ICR) for a noninvasive, point-of-care device that combines the development of a novel electrochemical sensing modality with a user-centered approach. The ICR features a two-electrode design fabricated by using a low-cost, scalable roll-to-roll (R2R) flexographic printing technique and a zeolitic imidazolate framework-8 (ZIF-8) chemiresistive channel. Here, we demonstrated the ICR’s response to hydrogen peroxide (H 2 O 2 ) as an initial step toward a noninvasive hypoglycemia diagnostic tool. The ICR exhibits a linear impedance response to H 2 O 2, with a limit-of-detection of 3.7 mM, a dynamic range of 4–60 mM, and preliminary validation in human saliva. Early user feedback guided device design and highlighted how incorporating usability throughout development supports the successful transition from a lab prototype to a real-world healthcare technology.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.230
Teacher spread0.214 · 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.

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 routes2
Has abstractyes

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