MétaCan
Menu
Back to cohort
Record W2981382965

Low-Cost and Mobile Ultraviolet Radiation Sensor using Electrochemical and Electrochromic Detection

2019· article· en· W2981382965 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.

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMaterials scienceElectrochromismCyclic voltammetryNanotechnologyConductive polymerNanocompositeElectrochromic devicesCarbon nanotubeChemical engineeringPolymerElectrochemistryOptoelectronicsElectrodeComposite materialChemistry
DOInot available

Abstract

fetched live from OpenAlex

My project involved the development of a low-cost and mobile ultraviolet radiation (UVR) sensor. UVR overexposure is associated with health issues such as an increased risk of skin cancer development. Current technology primarily involves the use of chromophores that change color with UVR exposure. Colorimetric sensors are however less sensitive and worsen as the chromophores degrade over time. The use of spectrometers as the transduction element for colorimetric sensors make them less useful as wearable sensors due to bulkiness and cost. My work focuses on a wearable sensor based on electrochemical and electrochromic detection. The sensor was fabricated using layer-by-layer assembly. The sensor was comprised of: i) flexible polydimethylsiloxane (PDMS) base; ii) conductive silver nanoparticles (Ag-NPs) with cellulose nanocrystal (CNC) ink; iii) carbon nanotubes (CNTs)/CNC/titanium dioxide (TiO2); iv) Prussian Blue redox poly(isopropylacrylamide) polymer microgel. To ensure the four layers were permanently glued to the PDMS base, (3-glycidyloxypropyl)trimethoxy-silane (GOPS) was used as an adhesive. The sensor mechanism involves TiO2 reacting with UVR to create electron/hole pairs, which—in presence of moisture—results in the formation of H2O2. The H2O2 oxidizes the redox microgel from Fe2+ to Fe3+, which induces polymer shrinkage. The shrunk polymer compacts the CNC/CNT conductive layer reducing its conductivity. The change in conductivity of the sensor was quantified by cyclic voltammetry to determine the effect of UVR and H2O2 on the sensor. Both the CNC/CNT control sensor cathodic and anodic capacitance displayed greater reactivity than the UV sensor cathodic and anodic capacitance in response to increasing H2O2 concentrations. The time studies provided inconsistent results which emphasize the need for more tests to be performed and stricter laboratory conditions applied. The oxidation of the redox microgel produced a successful colorimetric change which was used for verification of the electrochromic detection mechanism. The sensor was found to need optimization to enable better sensitivity to ensure its viability in application, however, the confirmation of the electrochromic color detection mechanism indicates the sensors current ability to provide naked eye detection of UVR exposure.   Faculty Mentor: Samuel Mugo Department: Chemistry

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 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 score0.021
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.341
Teacher spread0.318 · 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