Background on international activities on protein quality assessment of foods
Bibliographic record
Abstract
The subject of protein quality assessment of foods and diets was addressed at the Codex Committee on Vegetable Proteins (1982-1989), FAO/WHO (1989, 2001) and WHO/FAO (2002) expert reviews. These international developments are summarized in this manuscript. In 1989, a Joint FAO/WHO Expert Consultation on Protein Quality Evaluation reviewed knowledge of protein quality assessment of foods, and specifically evaluated amino acid score corrected for protein digestibility, the method recommended by the Codex Committee on Vegetable Proteins. The report of the Consultation published in 1991 concluded that the Protein Digestibility-corrected Amino Acid Score (PDCAAS) method was the most suitable approach for routine evaluation of protein quality for humans. The Consultation recognized that the amino acid scoring pattern proposed by FAO/WHO/UNU (1985) for preschool children was at that time the most suitable pattern for calculating PDCAAS for all ages except infants in which case the amino acid composition of human milk was recommended to be the basis of the scoring pattern. The rat balance method was considered as the most suitable practical method for predicting protein digestibility by humans. Since its adoption by FAO/WHO (1991), the PDCAAS method has been criticised for a number of reasons. The FAO/WHO (2001) Working Group on analytical issues related to protein quality assessed the validity of criticisms of the PDCAAS method. While recognizing a distinct regulatory use of protein quality data, the Working Group recommended that the PDCAAS method may be inappropriate for the routine prediction of protein quality of novel and sole source foods which contain high levels of anti nutritional factors; and that for regulatory purposes, the method should be revised to permit values of >100 for high quality proteins. In evaluating the recommendations of the Working Group, the WHO/FAO (2002) Expert Consultation on Protein and Amino Acid Requirements endorsed the PDCAAS method with minor modifications to the calculation method but also raised several issues. These included the calculation of scoring patterns; prediction of amino acid digestibility by faecal and ileal methods; reduced bioavailability of lysine in processed proteins; truncation of the amino acid score and consequent PDCAAS value; protein digestibility as a first limiting factor in determining the overall available dietary nitrogen; and the calculation of amino acid score for a dietary protein mixture. These concerns were considered particularly important in relation to the regulatory aspects of protein quality of foods, and their resolution was urgently recommended through a new separate expert review.
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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 | 0.001 | 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".