Pyrolysis Byproducts as Feedstocks for Fermentative Biofuel Production: An Evaluation of Inhibitory Compounds through a Synthetic Aqueous Phase
Bibliographic record
Abstract
In this work, the viability of using aqueous-phase sugars derived from the pyrolysis of lignocellulosic biomass was analyzed using high-throughput screening in microtiter plates. To standardize results, a synthetic aqueous phase of pyrolytic bio-oil was constructed based on typical constituents and composition ranges and then used to determine the fermentation viability of Saccharomyces cerevisiae . The effects of inhibitory compounds in pyrolytic bio-oil were assessed by fitting measured growth kinetics to the model of Baranyi and Roberts ( Int. J. Food Microbiol. 1994, 23, 277), specifically on the fitted growth rates, initial microorganism adaptation, and maximum biomass densities. It was found that even a dilution to approximately 10% of the hypothetical inhibitor concentration in aqueous bio-oil was significantly inhibitory to growth, although the presence of additional sugars was able to moderate this impact slightly. The high-throughput screening used in this work allowed for the rapid measurement of a variety of inhibitors at different concentrations, as well as inhibitory mixtures.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".