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Record W2951876352 · doi:10.1109/jsen.2019.2924108

Intense Pulsed Light Conversion of Anatase to Rutile TiO<sub>2</sub> for Hybrid TiO<sub>2</sub>-SnO<sub>2</sub>/MWCNTs/PVB Room Temperature VOCs Sensor

2019· article· es· W2951876352 on OpenAlexafffund
Danny Wong, Osama Abuzalat, Sherif Mostafa, Seonghwan Kim, Simon S. Park

Bibliographic record

VenueIEEE Sensors Journal · 2019
Typearticle
Languagees
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates
KeywordsAnataseRutileMaterials scienceChemical engineeringNuclear chemistryAnalytical Chemistry (journal)NanotechnologyOrganic chemistryChemistryPhotocatalysisCatalysis

Abstract

fetched live from OpenAlex

Volatile organic compounds (VOCs) are toxic air pollutants that require cost effective and accurate sensors for environmental monitoring. A VOCs sensing device was fabricated by spin coating low quantities of TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -SnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> loaded multi-walled carbon nanotubes (MWCNTs) with a polyvinyl butyral (PVB) support matrix onto a quartz crystal microbalance (QCM). TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> was partially converted from anatase to rutile phase using rapid microwave and the intense pulsed light (IPL) techniques. Microwave facilitated the drying of the solution and crystal growth while IPL enabled the conversion of TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> from anatase to rutile. The sensing properties were investigated with different VOCs, including ethanol, methanol, isopropanol, and toluene, at different concentrations. The anatase and rutile hybrid TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -SnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /MWCNTs/PVB sensing composite film showed an average of 8.8 times higher responses to VOCs compared with pure anatase TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -SnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /MWCNTs/PVB composite film prepared without IPL. The hybrid sensors exhibited negative motional resistance responses to VOCs and positive motional resistance responses to non-VOCs. The hybrid nanocomposite film also showed good stability at room temperature and the highest response towards ethanol with a limit of detection of 1 ppm.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2019
Admission routes2
Has abstractyes

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