Survey among European and Canadian feed control units on monitoring packaging material residues in feed by microscopy analyses
Bibliographic record
Abstract
Macro- and microscopic evaluation of feed includes detection of animal proteins, botanical ingredients and impurities, and prohibited ingredients such as packaging material (PM), according to Regulation (EC) 767/2009. In addition, detection of micro-plastics (possible degradation products of some of the PM) is getting attention. PM can harm animals or disturb their feed intake, pollute the environment, and are considered as undesired impurities in feeds. These materials do not consist of a definite molecule, group of molecules, living species or definite bodies. They can be plastic foil, hard plastic, metal pieces, paper, wood or some combination of materials. Their features (sharp, pointed) can be as important as the material itself. This is a typical topic for microscopy detection and evaluation. This short review presents the work done on detection of PM in 15 monitoring entities (institute, laboratories). Since 2011, some institutes have analysed more than 20 samples each year and the incidence of non-compliant samples will be presented here. Thirteen out of 15 entities have an active monitoring, whereas others have passive surveillance (done while performing other microscopy analyses). The protocols used by the different entities depend on sample types and analysts, highlighting a need for harmonisation.HighlightsFormer food products as ingredients for animal feed reduce food losses but contain residues of packaging material (PM).The microscopic examination and evaluation of feeds contribute to the safety of ingredients issued from food re-cycling and by-products valorisation.The lack of a prescribed method and limit of tolerance for PM cause variability in survey results.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".