Immunospecific analysis of <i>in vitro</i> and <i>ex vivo</i> surface-immobilized protein complex
Bibliographic record
Abstract
Biomaterials used for blood contacting devices are inherently thrombogenic. Antithrombotic agents can be used as surface modifiers on biomaterials to reduce thrombus formation on the surface and to maintain device efficacy. For quality control and to assess the effectiveness of immobilization strategies, it is necessary to quantify the surface-immobilized antithrombotic agent directly. There are limited methods that allow direct quantification on device surfaces such as catheters. In this study, an enzyme immunoassay (EIA) has been developed to measure the density of a synthetic antithrombin-heparin (ATH) covalent complex immobilized on a catheter surface. The distribution of the immobilized ATH was further characterized by an immunohistochemical assay. This analyte-specific EIA is relatively simple and has high throughput, thus providing a tool for quantitative analysis of biomaterial surface modifications. These methods may be further modified to evaluate plasma proteins adsorbed and immobilized on various biomaterial surfaces of complex shapes, with a range of bioactive functionalities, as well as to assess conformational changes of proteins using specific antibodies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".