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New Ion-selective Sensing Platform: Additively Manufactured Flexible Digital Microfluidic System

2019· article· en· W3017732113 on OpenAlexaff
Xin Min, Chao Bao, Woo Soo Kim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrowetting and Microfluidic Technologies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIonMicrofluidicsElectrodeMaterials scienceCapacitanceMembraneSelectivityLayer (electronics)OptoelectronicsInterference (communication)NanotechnologyAnalytical Chemistry (journal)ChemistryComputer scienceChromatographyChannel (broadcasting)Organic chemistryTelecommunicationsPhysical chemistry

Abstract

fetched live from OpenAlex

We developed an additively manufactured EWODbased digital microfluidic (DMF) platform for the ion-selective sensing technology. The flexible DMF electrodes are fabricated through direct-writing based 3D printing to unfold their dimensional limitation. When solution droplet is moving, the electrode's capacitance change is monitored so that the position and speed of the droplet are quantitatively detected. The ion-selective sensing function is demonstrated with blending of multiple ions with DMF through a thin layer of PVC based ion-selective membrane coated on the sensing station. Reliable ion selectivity is demonstrated through a comparison between primary NH <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4+</sup> and interference K+ ions.

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), Insufficient payload (model declined to judge)
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 score0.206
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)0.0000.001

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 head0.005
GPT teacher head0.177
Teacher spread0.172 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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