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 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 | 0.001 | 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 | 0.001 |
| 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".