Bibliographic record
Abstract
Fumonisins are well known mycotoxins produced by Fusarium verticillioides, F. proliferatum and other Fusarium species. Many new fumonisins and fumonisin-like compounds have been detected by mass spectrometry in cultures of F. verticillioides. Recently, fumonisins B(2) and B(4) were produced by Aspergillus niger isolated from coffee and fumonisin B(2) in A. niger from grapes. Fumonisin B(2) was itself detected in coffee beans, wine and beer, adding to the list of foodstuffs and feedstuffs other than corn (maize) and sorghum in which fumonisins have been found in recent years. Fumonisin B(1) (FB(1)) can bind to proteins (PB FB(1)) and to other matrix components during food processing involving heat. The occurrence of bound fumonisins in processed corn foods is common. Another type of binding (or association) relates to observed instability of fumonisins in rice flour, corn starch and corn meal at room temperature; this can affect the immunoaffinity column clean-up procedure in analysis of naturally contaminated starch-containing corn foods for fumonisins. The occurrence of N-fatty acylated fumonisin derivatives in retail fried corn foods has also been demonstrated. Bioaccessibility of free FB(1) and total bound FB(1) (TB FB(1)) present in corn flakes has been estimated by in vitro digestion experiments. Intentional binding of fumonisins to cholestyramine has been demonstrated in vivo and is a potential means of detoxification of animal feed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".