Study on the Relationship between Laccase Activity and Crude-oil Degradation Rate of the Fungus
Bibliographic record
Abstract
[Objective] The research aimed to study the relationship between laccase activity and crude-oil degradation rate of the fungus. [Method]The laccase activity,dry mycelial weight(DMW),crude-oil degradation rate(CODR)and petroleum components of four petroleum degradation fungus were measured in the liquid medium,the function of laccase was studied in crude oil degradation process,and the relationship between laccase activity and CODR of the fungus were explored. [Result]In the liquid medium with the sucrose,there were significant differences of DMW and the laccase activity among the fungi strains. DMW of DQ7(Aspergillus sp.)was the heaviest after 7 d,and the laccase activity of D2(Actinomucor sp.) was the highest after 15d,and correlation analysis showed that there was no significant correlation between DMW and the laccase activity. After 30d cultivation in the liquid medium with the crude oil,CODR and the laccase activity of D2 were the highest,they were 42. 41% and 48. 26 IU / ml. CODR of DQ5( Fusarium sp.) and DQ7 were the lowest. The results showed that different strains could degrade different components of petroleum hydrocarbons by GC-MS( Gas Chromatography-Mass Spectrometry) analysis. A positive relationship between CODR and the laccase activity of D2 was observed(r = 0. 869),but it was not significant. [Conclusion]The laccase is important factor affecting the oil degradation,it can increase the oil degradation rate of the fungus,but the oil degradation rate is also related with fungi strains,the growth characteristics of the fungus.
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 | 0.001 |
| 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".