Quantification of Gly m 4 Protein, A Major Soybean Allergen, By Two-Dimensional Liquid Chromatography with Ultraviolet and Mass Spectrometry Detection
Bibliographic record
Abstract
Soybean (Glycine max) is considered a major allergenic food. Gly m 4 is one of several soybean allergens that has been identified to cause an allergic reaction, typically the symptoms are localized effects including the skin, gastrointestinal tract, or respiratory tract. Soybean allergens are considered a complete food allergen in that they are capable of inducing specific IgE as well as eliciting a range of severity from mild rashes up to anaphylaxis. In this study, we have isolated, purified, and characterized an endogenous Gly m 4 protein. The endogenous protein has 88.0% sequence homology with the theoretically predicted Gly m 4 sequence. Following detailed characterization, an assay was developed for quantification of endogenous Gly m 4 using two-dimensional liquid chromatography with ultraviolet and mass spectrometric detection (2DLC-UV/MS). A linear relationship (R(2) > 0.99) was observed over the concentration range of 12.5-531.7 μg/mL. Over the linear range, the assay recoveries (percent relative error, % RE) ranged from -1.5 to 10.8%. The assay precision (percent coefficient of variation, % CV) was measured at three different Gly m 4 levels on each of the 4 days and did not exceed 11.2%. The developed method was successfully applied to quantify Gly m 4 level in 10 commercial soybean lines. To the best of our knowledge, this represents the first quantitative assay for an intact endogenous Gly m 4 protein.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".