Bibliographic record
Abstract
Assessment of mycoflora and mycotoxins associated with Tree Borne Oil Seeds (TBOS) namely Buchanania lanzan Spreng. (chironji), Juglans regia Linn. (walnut), Prunus armeniaca Linn. (apricot) and Shorea robusta Gaertn. (sal) indicates Aspergillus flavus, A. niger and Penicillium citrinum as the most frequently occurring fungi. Significant variation in pattern of mycoflora incidence was observed in fresh & stored samples. Mycotoxin producing fungi were screened under laboratory conditions for their ability to produce mycotoxins. The percentage toxigenicity was higher in the isolates of A. flavus in comparison to other mycotoxigenic fungi. In B. lanzan, twenty six percent isolates of A. flavus were toxigenic and produced up to 26 µg/ml aflatoxin B1 in the liquid media followed by J. regia (19 µg/ml), P.armeniaca (4µg/ml) and S. robusta 3.5 µg/ml). Stored samples exhibited high concentration of aflatoxin B1 when analysed for natural occurrence of mycotoxins. Level of aflatoxin B1 recorded in P. armeniaca, S. robusta, J. regia and B. lanzan was up to 0.98 µg/g, 0.91 µg/g, 0.54 µg/g and 0.48 µg/g respectively. The level of other mycotoxins citrinin, ochratoxin and zearalenone were comparatively low. Analysis of oil extracted from fungal infected stored samples showed presence of aflatoxins in natural occurrence. Incidence of aflatoxin B1 was higher in apricot oil (up to 0.32 µg/g), up to 0.28 µg/g in chironji and walnut oil whereas in sal butter up to 0.23 µg/g. TBOS under study exhibited significant reduction in the oil seeds under study exhibited oil content during fungal infection, however, reduction was more prominent in case of A. flavus in all cases.
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 | 0.000 | 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) | 0.001 | 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 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".