A highly-sensitive sandwich ELISA procedure based on one-step antibody immobilization for potential in vitro diagnostics
Bibliographic record
Abstract
A highly-sensitive sandwich enzyme-linked immunosorbent \(ELISA) procedure was developed for detecting human fetuin A \(HFA), a speci c biomarker for a plethora of various infection and in ammation associated diseases.In this one-step antibody \(Ab) immobilization, the capture anti-HFA Ab formed a stable complex with 3-aminopropyltriethoxysilane \(APTES), via ionic and hydrophobic interactions.The complex adsorbed on a microtiter plate \(MTP) as an ELISA platform for HFA, and exhibited linearity from 4.9 pg mL -1 to 20 ng mL -1 , a limit of detection of 7 pg mL -1 and an analytical sensitivity of 10 pg mL -1 , i.e. 51-fold more sensitive than the commercial sandwich ELISA kit.The precision obtained by this procedure for the detection of HFA spiked in human whole blood and plasma was in agreement with the commercial kit.The anti-HFA Ab-bound MTPs stored at 4°C in 0.1 M phosphate-buffered saline, pH 7.4 displayed no signi cant decrease in original activities after two months.
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.
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 | 0.000 |
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 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".