Aqueous two-phase system antibody confinement enables cost-effective analysis of protein analytes by sandwich enzyme-linked immunosorbent assay with minimal optical crosstalk
Bibliographic record
Abstract
An aqueous two-phase system formed from polyethylene glycol and dextran was used to uniformly coat the bottom surfaces of the wells of standard 96-well assay plates with capture and detection antibodies to improve the performance and cost-effectiveness of sandwich enzyme-linked immunosorbent assay (ELISA). Using this approach, limits of detection and linear dynamic range values comparable to those obtained for conventional sandwich ELISA were obtained using considerably lower antibody quantities due to the much lower reagent volumes required when antibodies are applied in a dextran solution beneath a polyethylene glycol overlay. Confinement of the antibody reagents to the bottom surfaces of the wells within the dextran phase also dramatically decreased the optical crosstalk present between neighboring wells when using transparent microplates. Adaptation of the conventional single sandwich ELISA for aqueous two-phase system antibody confinement was demonstrated by analysis of standard curves for C-reactive protein, transforming growth factor beta 1, and the chemokine CXCL10.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".