Development of quantum dot-linked immunosorbent assay (QLISA) and ELISA for the detection of sunset yellow in foods and beverages
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
Sunset yellow (SY) is widely used as food colorant. Excess and illegal use of SY could pose potential health risk. Quantum dots have been successfully used in biological research due to the high photoluminescence and high resistance to photobleaching. To analyze SY efficiently, quantum dot-linked immunosorbent assay (QLISA) and enzyme-linked immunosorbent assay (ic-ELISA) were developed on the basis of generated monoclonal antibody. A carboxyl group was introduced to SY and coupled with carrier proteins to synthesize artificial antigen. Under the optimal conditions, inhibitory concentrations (IC50) of SY were 1.9 ng/mL (ic-ELISA) and 3.4 ng/mL (QLISA); the limits of detection (LODs) were 0.2 ng/mL (ic-ELISA) and 1.0 ng/mL (QLISA), respectively. Cross-reactivities of the mAb toward eight kinds of analogues were<0.01%. The recovery rates in spiked foods and beverages were 75.6%∼120.1% (ic-ELISA) and 74.0%∼114.1% (QLISA), respectively.
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.
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 it