Interaction between clostridium thermocellum ATCC 27405 and thermoanaerobacterium saccharolyticum DSM 7060 on cellulosic and lignocellulosic substrates: substrate attachment, concentration dynamics, and ethanol production
Bibliographic record
Abstract
Second generation biofuel research and bioethanol production via consolidated bioprocessing has the potential to become a viable alternative to finite fossil fuel reserves. Further advances have to be made in order to make this biotechnology more economically feasible. The focus of this study was to use cellulotyc C. thermocellum in a consortium with hemicellulotyc T. saccharolyticum to investigate the dynamics of their interaction with respect to cellulosic and lignocellulosic substrate attachment, respective numbers, and extent of solid substrate hydrolysis and desired end product formation. T. saccharolyticum's partial adherence to cotton and switchgrass has demonstrated limited need for substrate colonization and hence reduced competition with C. thermocellum. Real-time PCR analysis indicated that T. saccharolyticum can proliferate under low carbon supplementation, and efficiently utilize the metabolites produced from C. thermocellum's hydrolysis of cotton and switchgrass. The interaction between the two thermophiles on both substrates demonstrated a potential for increased bioethanol production.
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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".