MétaCan
Menu
Back to cohort
Record W2013904585 · doi:10.1021/la010405c

Protein-Induced Changes in Poly(ethylene glycol) Brushes:  Molecular Weight and Temperature Dependence

2001· article· en· W2013904585 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

VenueLangmuir · 2001
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsEthylene glycolPEG ratioProtein adsorptionPolymerChemistryPolymer chemistryAdhesionChemical engineeringMonolayerSide chainGraftingPolyethylene glycolBiophysicsMaterials scienceOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Terminally grafted chains of poly(ethylene glycol) (PEG) and oligo(ethylene glycol) reduce protein adsorption and cell adhesion on material surfaces. However, previous studies showed that protein−PEG adhesion is induced by the application of pressure. Because polymer behavior can vary with the molecular weight, in this study we directly measured the forces between streptavidin and end-grafted monolayers of PEG of different molecular weights and at grafting densities. The results of these measurements show that grafted PEG chains can exist in two different states: a protein-repulsive state and a protein-attractive state. The attractive state can be induced not only by compression but also by increasing the temperature or by altering the polymer molecular weight. Both the critical applied load to induce the protein-attractive form of PEG and the relaxation time back to the protein-resistant state depend on the molecular weight of the grafted chains. The consequences of the observed behavior for the use of grafted PEG chains as protein antifouling coatings of biomaterials are discussed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.543

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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