Recent advances in nanomaterial-enhanced enzyme-linked immunosorbent assays
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.
Bibliographic record
Abstract
Despite serving as a gold standard for protein analysis, the classic enzyme-linked immunosorbent assay (ELISA) is currently challenged by the ever-increasing needs of sensitivity and simplicity. Towards the ongoing needs, recent advances in nanomaterials have offered numerous promising tools for enhancing the performance and broadening the applicability of ELISA. In this review, we highlight nanomaterial-enabled strategies that drastically improve the assay performance without significantly altering the classic ELISA format. Particular attention will be focused on the functional roles of nanomaterials as novel readout systems in ELISA, including those serving as substrate-alternatives, enzyme-alternatives, and non-enzymatic signal amplifiers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it