Quantitative Detection of Allergenic Protein <i>Sin a</i> 1 from Yellow Mustard (Sinapis alba L.) Seeds Using Enzyme-Linked Immunosorbent Assay
Bibliographic record
Abstract
Allergy to yellow mustard (YM; Sinapis alba L.) seed proteins has been reported and is currently seen as a constraint that hampers expansion of YM protein utilization. The most predominant allergenic protein of YM seed has been recognized as Sin a 1. In this study, Sin a 1 was purified ( S. alba var. Andante), rabbit polyclonal antibodies (pAb) specific to Sin a 1 were generated, and a sandwich enzyme-linked immunosorbent assay (S-ELISA) was developed to detect and quantify Sin a 1 from YM. The S-ELISA method using Sin a 1-pAb and its horseradish peroxidase conjugate resulted in a detection limit of 0.3 microg/mL for purified Sin a 1. The Sin a 1 contents of six YM lines were in the range of 0.82-2.94 mg/g when assayed by the developed S-ELISA method. The results showed that S-ELISA could distinguish Sin a 1 in YM seed-derived extracts rapidly and could be applied in controlling and/or monitoring of YM allergenic proteins.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".