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Record W3211005696 · doi:10.1002/jnm.2972

Novel induced charge electrokinetic based microfluidic design for trapping of micro and nanoparticles: Numerical simulation approach

2021· article· en· W3211005696 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

VenueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2021
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsElectrokinetic phenomenaNanoparticleTrappingMicrofluidicsNanotechnologyTrap (plumbing)ExosomeElectric fieldMaterials scienceVoltageDielectrophoresisChipLab-on-a-chipMicrovesiclesChemistryComputer sciencePhysics

Abstract

fetched live from OpenAlex

Abstract ICEK phenomena have recently been used for separating particles. The most critical issue in separating the nanoparticles (e.g., exosome, viruses, or bacteria) in complex biofluids is implementing a two‐step procedure (I) trapping the larger particles (e.g., red blood cells) from the blood and (II) trapping the nanoparticles. The purpose of this paper is to propose a design framework for the separation of considered particles in one chip. The model considered evaluating the feasibility of two‐step micro and nanoparticle separations, for instance, exosome (30–120 nm) from red blood cells (5–7 μm) or other cells in biological samples. A low voltage direct current (DC) electric field is used to generate vortices around the obstacles to trap microparticles (e.g., red blood cells) and nanoparticles (e.g., exosome) before the first and second obstacles, respectively. The achieved results demonstrated that the generated vortices are adequately strong to trap both micro and nanoparticles. This chip has several advantages, consisting of low voltage requirement and easy to manufacture design.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.516

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 head0.030
GPT teacher head0.244
Teacher spread0.214 · 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