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Record W2155890309 · doi:10.1039/b801033a

Nano-biopower supplies for biomolecular motors: the use of metabolic pathway-based fuel generating systems in microfluidic devices

2008· article· en· W2155890309 on OpenAlexafffund
Joshua R. Wasylycia, Svetlana Sapelnikova, Hyuk Jeong, Jelena Dragoljic, Sandra L. Marcus, D. Jed Harrison

Bibliographic record

VenueLab on a Chip · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicATP Synthase and ATPases Research
Canadian institutionsUniversity of AlbertaNational Institute for Nanotechnology
FundersKorea Science and Engineering FoundationUniversity of Alberta
KeywordsMitochondrionMicrofluidicsMolecular motorOrganelleBioenergeticsPyruvate kinaseChemical energyNanotechnologyEnzymeChemistryCell biologyBiochemistryMaterials scienceBiologyGlycolysis

Abstract

fetched live from OpenAlex

We report fuel generation systems for molecular motors based on pyruvate kinase, or for the first time, mitochondria, implemented within microfluidic devices. Intact organelles acted as bio-nanopower supplies for molecular motors, using isolated mitochondria to convert chemical energy from succinate to ATP, harnessing nature's enzymatic transformation cascades directly. Motors were activated essentially equally by ATP produced by pyruvate kinase, mitochondria, or direct addition of ATP.

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: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.472

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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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

Citations10
Published2008
Admission routes2
Has abstractyes

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