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Record W1973606502 · doi:10.1021/ac9909094

Adsorptions of Plasma Proteins and Their Elutabilities from a Polysiloxane Surface Studied by an On-Line Acoustic Wave Sensor

2000· article· en· W1973606502 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnalytical Chemistry · 2000
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryAdsorptionTernary operationSodium dodecyl sulfateChromatographyAlbuminSurface acoustic wavePolymerBovine serum albuminFibrinogenAnalytical Chemistry (journal)Organic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Gold electrodes of thickness-shear mode acoustic wave sensors were modified with poly[(mercaptopropyl)methylsiloxane]. The flow-through adsorption of three major plasma proteins (human serum albumin, fibrinogen, and immunoglobulin G) was detected by acoustic network analysis. The elution of fibrinogen and albumin from coated and unmodified gold surfaces by sodium dodecyl sulfate was studied with respect to different adsorption times and protein concentrations. Both sequential and competitive adsorptions of the three proteins on polymer-modified surfaces of sensors were examined as were simultaneous adsorptions from binary and ternary mixtures. The experimental results confirm that the competitive behaviors of proteins in terms of adsorptive processes are explained by factors other than displacement phenomena.

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 score0.430
Threshold uncertainty score0.856

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 head0.016
GPT teacher head0.223
Teacher spread0.206 · 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