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Sensitivity Enhancement of Printed In<sub>2</sub>O<sub>3</sub> Sensors for H<sub>2</sub>S Gas Detection At Room Temperature

2021· article· en· W3178433352 on OpenAlexaff
Ahmad Al Shboul, Ricardo Izquierdo

Bibliographic record

Venue2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) · 2021
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsNanocompositeMaterials scienceHydrogen sulfideIndiumGraphiteCopperNanoparticleCopper sulfideHydrogen sulfide sensorPolystyreneOxideElectrical conductorGraphite oxideConductivityChemical engineeringAnalytical Chemistry (journal)NanotechnologyOptoelectronicsComposite materialPolymerChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Flexible hydrogen sulfide (H2S) sensors were fabricated by printing hybrid nanocomposite manufactured from the combination indium oxide nanoparticles (In2O3 NPs), copper acetate monohydrate powder (CuAc), graphite flakes (Gt), and polystyrene (PS). A sensitive sensor to ~100 ppb of H2S gas at room temperature was printed from a nanocomposite composed of In2O3 NPs, Gt, and PS. Enhanced sensitivity to H2S gas detection was achieved at concentrations lower than 100 ppb (<; 100 ppb) with the nanocomposite's modification with CuAc powder. The enhanced sensing performance can be ascribed to copper sulfide (CuS) formation upon the exposure of CuAc to H2S gas molecules. CuS is a highly conductive material that enhances conductivity between neighboring materials and H2S reactions on the sensor's surface. Thus, a reduction in the electrical resistance was recorded upon the sensor's exposure to H2S gas, denoting an enhancement of the sensitivity.

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)0.001
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.239
Teacher spread0.217 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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