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Record W1972170454 · doi:10.1002/pssa.200674380

Using an oxidized porous silicon interferometer for determination of relative protein binding affinity through non‐covalent capture probe immobilization

2007· article· en· W1972170454 on OpenAlex
Michael P. Schwartz, Christine Yu, Sara D. Alvarez, Benjamin Migliori, Denis Godin, Lin Chao, Michael J. Sailor

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

Venuephysica status solidi (a) · 2007
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsCovalent bondBovine serum albuminChemistryPorous siliconAdsorptionProtein AChromatographyTungstenProtein GSiliconAntibodyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Abstract An oxidized porous Si interferometer was used to measure binding of immunoglobulin G (IgG) to an immobilized protein A capture probe. Protein A was non‐covalently immobilized on a thermally oxidized porous Si (PSiO 2 ) sample and exposed to IgG originating from different species. The resulting order of IgG affinity toward the protein A‐coated surface (human > rabbit ≫ sheep IgG) agrees with previous inhibition studies for protein A/IgG binding. No signal change was observed when a protein A coated sample was exposed to bovine serum albumin (BSA), demonstrating that the adsorbed sensing layer sufficiently coats the PSiO 2 surface to prevent non‐specific binding. This strategy is excellent for qualitative measurements of protein binding affinity because it is label‐free, requires minimal sample preparation, and can be implemented using an inexpensive CCD‐based spectrometer coupled to a tungsten lamp. (© 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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 score0.041
Threshold uncertainty score0.958

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 communication0.0000.001
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 head0.045
GPT teacher head0.325
Teacher spread0.280 · 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