Reducing Nonspecific Adhesion on Cross-Linked Hydrogel Platforms for Real-Time Immunoassay in Serum
Bibliographic record
Abstract
Biointerfaces that limit nonspecific adhesion of serum proteins have been developed by relying solely on cross-linked hydrogels. In addition to being characterized for adhesion of serum proteins, immunoassay sensitivity was also investigated through a sandwich assay for rhIL-1ra. Among the compositions developed, the optimal surface is comprised of pre-cross-linked carboxymethylcellulose (CMC) and polyethyleneimine (PEI) overlaid on a cross-linked layer of poly(ethylene glycol) (PEG) and PEI and employs an anti-IgG Fc specific ligand for oriented antibody immobilization; viscoelastic modeling provides a thickness estimate of 5 nm for the hydrogel alone, rising to 33 nm after the deposition of antibodies. Alternate compositions employing a Protein A ligand and PEG at the exposed surface of the biointerface were disfavored due to an 8-fold increase in serum adhesion and retarded immobilization kinetics, respectively. Through the rapid deposition provided by hydrogels, construction of the entire biointerface, including receptor immobilization, can be completed in 1 h. Based on QCM-D measurements, estimated nonspecific serum adsorption using these compositions is as low as 1.1 ng/mm2. The immunoassay as developed requires 10 min, providing a detection limit of 500 ng/mL rhIL-1ra in 25% human serum using only 5 microg of the secondary antibody.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".