Some Volatile Metabolites Produced by the Antifungal-Trichoderma Asperellum UZ-A4 Micromycete
Bibliographic record
Abstract
The fungus of the genus Trichoderma is characterized by high biological activity and the ability to synthesize many compounds of great scientific interest. Among them, producers of amino acids, nucleic and organic acids, vitamins, surface-active substances, numerous hydrolases, various antibiotics and other substances were revealed. In this work there were studied volatile organic compounds produced by the fungus Trichoderma asperellum Uz-A4, isolated from the soil of the cotton field of the Bukhara region of Uzbekistan infected with phytopathogens. The antagonistic activity of the fungus about phytopathogens Alternaria alternata, Aspergillus niger and Fusarium solani was evaluated. Trichoderma asperellum Uz-A4 micromyzet showed high activity on the 4 th day against Alternaria alternata and Fusarium solani about Aspergillus niger on the 9th day. From the culture fluid of the fungus Trichoderma asperellum Uz-A4, 11 main substances have been isolated and identified. Mass - spectrometric analysis has shown that these are the substances of Phenylethylcohol; 5-hydroxymethylfurfural; Dehydroa Ceticacid; 1-Dodecanol; 2,4-di-tert-Butylphenol; Diethyl Suberate; n-hexadecanoic acid; 1-hexadecanol, 2-methyl; Phthalic Acid, Ethyl Pentadecyl Ester; Mono (2-Thylhexyl) Phthalate; Octadecanoic Acid. A chemical formula, molecular weight and the absorption spectrum of these substances have been determined. The results indicated that these secondary metabolites could be useful for biological control applications of T. asperellum Uz-A4 strain against diverse plant pathogens.
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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 | 0.000 | 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".