Bioremediation of petroleum-contaminated soil by two strains of fungi and its effect on physiological parameters of plant seedling
Bibliographic record
Abstract
Two strains of fungi which were isolated from the petroleum polluted salt alkaloid soil with the petroleum degeneration ability were mixed with humic acid to form the microbial inoculum.Through the pot experiment,the microbial inoculum degeneration capacity was tested by monitoring the petroleum hydrocarbon degeneration rate,the soil dehydrogenation enzyme activity and soil microbial diversity periodly.The results showed that in the case of tested the soil total petroleum hydrocarbon content of 21 000 mg/kg,adding 5% microbial inoculum in the experimented soil pot,the total concentration of petroleum hydrocarbon decreased by 33.13% after 56 days of incubation.In the water cultivating experiment,two types of treatment was designed,that is,plants grown alone(Alfalfa,Canada oats) and two kinds of microorganisms combined with plants respectively.The root dehydrogenation enzyme activity which representing the plant root system vigor and malonydialdehyde(MDA) content in leaves were tested to study promoting effect on plant grow by fungus.The result indicated that with adding 5% microbial inoculum,plant growth were significantly promoted and plant root activity was increased.
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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) | 0.001 | 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) | 0.001 | 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".