Detection and Quantification of Soy Allergens in Food: Study of Two Commercial Enzyme‐Linked Immunosorbent Assays
Bibliographic record
Abstract
The objective of this study was to evaluate the efficacy of 2 commercially available soy enzyme-linked immunosorbent assays (ELISA) and use them in detecting soy proteins in selected food commodities. Both ELISA kits exhibited high sensitivity. The determined limits of detection (LOD) (approximately 2 and <1 microg/mL for Tepnel Biosystems and Elisa Systems kits, respectively) were lower than those claimed by the manufacturer. Quantification range for both kits was, however, narrower and in a lower concentration range than defined by the kit providers. Our examination revealed a positive cross-reactivity with chickpea proteins and matrix interferences for both kits. The immunoreactivity of soy proteins, when tested by the Tepnel Biosystems kit, was partially reduced by papain and bromelain hydrolysis; it was significantly decreased by protein glycation (>47%). Nondenatured and nonheated soy protein isolate (SPI) samples were also significantly less antigenic than the treated ones.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".