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Record W4225726850 · doi:10.22215/etd/2021-14687

Molecularly Imprinted Electroimpedance Sensor for Detection of 8-isoprostane in Exhaled Breath Condensate

2021· dissertation· en· W4225726850 on OpenAlexaff
Bruno Gamero

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsMolecularly imprinted polymerMaterials scienceNanotechnologyPolymerExhaled breath condensatePoint of careDielectric spectroscopyCapacitive sensingElectrodeChemistryElectrochemistryComputer scienceSelectivityMedicineComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Development of low-cost, rapid response time capacitive sensors have a valuable role in the creation of point-of-care systems. A novel approach in the materials and application of Molecularly Imprinted Polymers was investigated for the detection of 8isoprostane in exhaled breath condensate. The detection method is based on the quantifiable capacitance change that occurs between two electrodes as the target molecule binds on the MIPs surface, which is detected through electrochemical impedance spectroscopy. This work focuses on the use of a generic polymer material for the sensing layer, as opposed to a traditional synthesized polymer material. PVA-SbQ was spun onto a custom IDE and then imprinted to detect 8-isoprostance. With aerosolized samples, the sensor was proven to detect a physiologically relevant concentration of 1 to 100 pg/mL. A fully integrated multiplexed system was then developed for point-of-care health monitoring.

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)0.000
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 score0.017
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
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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
Published2021
Admission routes1
Has abstractyes

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