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Record W1977588513 · doi:10.1109/nano.2013.6720855

CNT-embedded electro-microchannel for cell electroporation

2013· article· en· W1977588513 on OpenAlexaff
Mehdi Shahini, John T. W. Yeow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectroporationMicrochannelMicrofluidicsMaterials scienceLab-on-a-chipNanotechnologyVoltageDielectrophoresisElectrodeOptoelectronicsBiomedical engineeringElectrical engineeringChemistryEngineering

Abstract

fetched live from OpenAlex

We present a new approach for electroporating cells through a CNT-featured microfluidic device. Micro-devices have become a promising approach for cell manipulation systems. Among cell manipulations techniques, cell electroporation requires relatively higher power to disrupt membrane of cells. This requirement opposes integration of cell electroporation with other on-chip functions to achieve a full-functional point-of-care testing machine. Here we present a new approach for electroporating cells with a microfluidic chip featured by CNT on one electrode. A new methodology for embedding aligned CNT on microchannel has been presented. In the CNT-embedded device, CHO cells are passed through a forest of aligned CNTs so that the enhanced electric field near the tip of CNTs get the cells electroporated. Calcein AM dye has been used to indicate electroporation. The results show that with an operational voltage as low as 3 V CHO cells are electroporated while the yield rate of electroporation is 72% higher compared to a no-CNT device. This achievement is considerable progress toward integration of cell electroporation with other low-voltage on-chip mechanisms.

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 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: none
Teacher disagreement score0.431
Threshold uncertainty score0.434

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 head0.008
GPT teacher head0.257
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2013
Admission routes1
Has abstractyes

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