Development and preparation of a new serum protein reference material: feasibility studies and processing
Bibliographic record
Abstract
BACKGROUND: The availability of matrix reference materials is essential for the standardisation of (immuno)assays used to measure proteins. The reference material ERM-DA470 (previously called CRM470) certified in 1993 has led to a large degree of harmonisation of these assays. A new serum protein reference material has now been produced (ERM-DA470k). It is intended to replace ERM-DA470, and will additionally be certified for beta(2)-microglobulin (B2M). METHODS: Serum from 390 healthy donors was pooled and processed so as to stabilise, delipidate and 'maturate' it. Purified C-reactive protein (CRP) and recombinant B2M were added. Pilot batches were produced to study the stability, homogeneity, and commutability of the material. On the basis of the results with the trial batches it was decided to proceed with the processing of the main batch of a candidate reference material. RESULTS: Two pilot batches were produced and the processed and spiked serum lyophilised after filling (1 mL). The B2M in the material was shown to be stable and commutable. For CRP, it was discovered that freeze-drying led to a decrease in measurable protein. The main batch of candidate reference material was produced and fulfilled the required criteria in terms of optical transparency, homogeneity and stability. CONCLUSIONS: A new serum protein reference material has been produced with the properties required for a serum protein reference material for 14 proteins. An apparent loss of CRP of approximately 20% was observed upon freeze-drying of the material.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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) | 0.002 | 0.002 |
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".