MétaCan
Menu
Back to cohort
Record W2034706208 · doi:10.1021/la1012582

Novel Carboxyl-Amine Bonding Methods for Poly(dimethylsiloxane)-Based Devices

2010· article· en· W2034706208 on OpenAlexaff
Éric Ouellet, Cheng Wei Tony Yang, Tao Lin, Lee Ling Yang, Eric T. Lagally

Bibliographic record

VenueLangmuir · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsSilanesContact angleX-ray photoelectron spectroscopyAmine gas treatingSurface modificationPolymer chemistryCarboxylic acidChemical engineeringMaterials scienceChemical bondChemistryOrganic chemistryPhysical chemistryComposite materialSilane

Abstract

fetched live from OpenAlex

We present a novel bonding technique for poly(dimethylsiloxane) (PDMS)-based devices employing chemical surface modifications at room temperature. PDMS surfaces were functionalized to present primary amine groups, and glass or gold substrates were functionalized to present carboxylic acid groups. Irreversible bonding was achieved by bringing the two surfaces in contact and reacting at room temperature to form peptide bonds between the substrates. Shear tests reveal the bond strengths achieved to be comparable to values obtained using conventional bonding methods. We also describe the use of carboxyl-terminated silanes on gold surfaces to bond amine-modified PDMS devices. Water contact angle measurements and X-ray photoelectron spectroscopy (XPS) confirmed the conjugation, a novel result that expands the variety of surface chemistries available for such bonding.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.285
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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

Citations31
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueLangmuirSame topicMicrofluidic and Capillary Electrophoresis ApplicationsFrench-language works237,207