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Record W2041407411 · doi:10.1117/12.2077794

A novel AC electrothermal micropump for biofluid transport using circular interdigitated microelectrode array

2015· article· en· W2041407411 on OpenAlexafffund
Alinaghi Salari, Colin Dalton

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsMicropumpMicroelectrodeMicrochannelMultiphysicsVolumetric flow rateElectrodeVoltageMaterials scienceMicrofluidicsMicrofabricationMicroelectromechanical systemsCapacitanceLab-on-a-chipOptoelectronicsElectrohydrodynamicsNanotechnologyElectrical engineeringMechanicsChemistryEngineeringPhysicsFinite element methodFabrication

Abstract

fetched live from OpenAlex

Electrokinetic micropumps have been widely used in lab-on-a-chip devices. The AC electrothermal (ACET) effect is highly efficient for biofluidic micropumping, but is unable to generate high flow rates. Attempts to increase ACET flows, such as applying a wide range of actuation voltages, using asymmetric microelectrode arrays and using 3D microelectrodes have been reported. In this paper a novel idea of employing circular coplanar asymmetric microelectrodes placed on the perimeter of a microchannel is explored. An array of microelectrodes is simulated using COMSOL Multiphysics software. The micropump output shows relatively high flow rates compared to other ACET micropumps which have the same electrode dimensions. Moreover, the idea of using different micropumps with scaled dimensions is investigated. The results show that a highly efficient ACET micropump can be achieved if an appropriate electrode size-to-channel dimension ratio is selected. The results also show that a micropump with a scale of 0.2 can show negligible flow rate, but if the electrodes are used in a micropump with the scale of 1, a flow rate of 15 ×10<sup>6</sup> μm<sup>3</sup>/s can be generated. This new ACET pump design can be utilized for lab-on-a-chip applications, specifically in biofluid delivery systems.

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 score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.222
Teacher spread0.203 · 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

Citations6
Published2015
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicMicrofluidic and Bio-sensing TechnologiesFrench-language works237,207