Patented Techniques for Detoxification of Mycotoxins in Feeds and Food Matrices
Bibliographic record
Abstract
Mycotoxins are found worldwide in cereal grains, animal feed and human food that are produced from contaminated grains. This presents food safety risks. A variety of methods has been developed to reduce the safety risks by removing mycotoxins from contaminated grain products, eliminate the bioavailability of mycotoxins in the gastrointestinal system, degrade mycotoxins in food and feed, reduce mycotoxins pre- and post-harvest, and prevent (mycotoxin involved) plant disease. These techniques include physical methods such as flotation, extraction and adsorption, chemical reactions such as alkalization, oxidation, heat and irradiation, as well as biological detoxifications using microorganisms, enzymes and resistant plants. Most of the recent patented techniques for detoxification of mycotoxins in feeds and food matrices are discussed for an improved understanding of the patent techniques and insights into detoxification of mycotoxins.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".