ENUMERATION OF MICROBES AND GAS PRODUCTION DURING DENITRIFICATION AND NITROGEN FIXATION PROCESSES IN SOIL
Bibliographic record
Abstract
Dry plant material contains 2-4% nitrogen, making it an essential nutrient for all plants. The nitrogen cycle regulates the pathways which transform nitrogen from a relatively inert dinitrogen gas to forms of organic nitrogen such as proteins and nucleic acids. Denitrification and nitrogen fixation are the two most important processes that remove and add nitrogen to the soil, respectively. The aim of the study was to gain information on the denitrification and nitrogen fixing activities in soil and sediment employing the acetylene technique and assuring the gas chromatography analysis by total plate count and most probably number. The results indicated that acetylene (0.1 atm) inhibited N 2 O reduction and caused stoichiometric accumulation of N 2 O during the conversion of NO 3 -to N 2 . N 2 O was an obligatory intermediate in the sequence of steps between N 2 O -and N 2 . The appearance of CO 2 and accumulation of N 2 O would be suitable criteria for the presence of denitrifiers in appropriately enriched media and the acetylene reduction test is a suitable assay for nitrogen fixing activity. There was an obligatory requirement for organic carbon as a carbon and energy source for denitrification and nitrogen fixation to take place. The results showed that acetylglucosamine can be used as a carbon and energy source for denitrification but not as a nitrogen source (C:N ratio of 5:1). NH 4 + has no effect on denitrification activity but it inhibited the nitrogenase activity. The presence of air in the gas phase affects both the denitrification and nitrogen fixing activity while adding H 2 O encouraged anaerobic conditions.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".