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Record W2032676888 · doi:10.1021/la9037155

Imaging Hydrated Albumin on a Polystyrene−Poly(methyl methacrylate) Blend Surface with X-ray Spectromicroscopy

2009· article· en· W2032676888 on OpenAlexafffund
Bonnie Leung, Jian Wang, John L. Brash, Adam P. Hitchcock

Bibliographic record

VenueLangmuir · 2009
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Surface Interaction Studies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolystyreneHuman serum albuminAdsorptionMethyl methacrylatePolymerXANESMethacrylateAbsorption (acoustics)BilayerChemistryPoly(methyl methacrylate)Materials scienceAnalytical Chemistry (journal)Chemical engineeringPolymer chemistrySpectroscopyChromatographyOrganic chemistryMembraneMonomer

Abstract

fetched live from OpenAlex

Human serum albumin (HSA) adsorbed to thin films of phase-segregated polystyrene (PS)-poly(methyl methacrylate) (PMMA) was examined under hydrated and dry environments with scanning transmission X-ray microscopy (STXM). Quantitative mapping of the protein and polymer components at 30 nm spatial resolution was achieved using near-edge X-ray absorption fine structure (NEXAFS) spectral contrast at the C 1s edge. Under fully hydrated conditions (0.005 mg/mL HSA), adsorbed HSA thicknesses in excess of its crystallographic dimensions suggest bilayer adsorption to the polar PMMA regions. Upon washing, these loosely bound protein molecules adsorbed to PMMA were removed. Upon drying, the thickness of HSA on the nonpolar PS region decreased by approximately 40%, indicative of conformational changes. It is suggested that this change occurs due to the free energy gain from the ability of the protein to unfold on the less crowded PS surface.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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

Citations19
Published2009
Admission routes2
Has abstractyes

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