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Record W4416586007 · doi:10.1016/j.mseb.2025.118994

Enhanced formaldehyde sensing with UV-LED activated Nafion-coated in₂O₃ gas sensor

2025· article· en· W4416586007 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Science and Engineering B · 2025
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsNafionFormaldehydeIndiumOxideLayer (electronics)SemiconductorConductivityUltraviolet

Abstract

fetched live from OpenAlex

High-performance formaldehyde sensors are highly desirable in various industries and indoor gas monitoring systems. Recent advances in ultraviolet light-emitting diode (UV-LED) technology have provided the opportunity to develop UV-activated semiconductor sensors with many advantages. However, the typical UV-activated metal oxide semiconductor (MOS) sensing material is at fault of restructuring in the presence of ppm concentrations of formaldehyde, leading to inconsistent sensor measurements. In response, we developed a formaldehyde sensor featuring excellent response stability by exploiting Nafion-coated indium oxide (In 2 O 3 ) nanoparticles (NPs) as the sensing material, prepared via an indium nitrate precursor route along with Nafion solution, deposited using spin-coating on an electrode, under UV-LED irradiation. The results indicated that the presence of a thin layer of Nafion preserves the structure of the UV-activated sensing layer from agglomeration, resulting in stable and reproducible sensor responses. Sensor sensitivity (response) was found to be a function of two key parameters: Nafion concentration and UV irradiance. We studied the responses of the Nafion-coated In 2 O 3 NPs sensor with Nafion concentrations of 0.5 wt% and 2.5 wt% and under UV irradiances of 2.35, 2.49, and 2.56 mW/cm 2 . The characterization results revealed greater porosity and a reduction in particle size after reducing the Nafion concentration, leading to sensitivity improvement. Sensor sensitivity was further improved by increasing the UV irradiance due to the enhanced proton conductivity through the Nafion layer. The linear relationship between the transient response and formaldehyde concentration exhibited the feasibility of the developed sensor for fast formaldehyde measurement. The results showed a transient response of 0.15 for the 0.5 wt% Nafion-coated In 2 O 3 NPs sensor under 2.56 mW/cm 2 irradiance to 25 ppm of formaldehyde. This study presents a new approach in preventing sensing layer restructuring caused by formaldehyde (and likely other similar volatile organic compounds (VOCs) of semiconductor gas sensors), thereby providing a practical solution to formaldehyde and other VOCs detection. This approach enhanced sensor sensitivity to different concentrations of the target gas, with fast and consistent response and recovery.

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.

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)0.000
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.004
GPT teacher head0.183
Teacher spread0.179 · 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