Selective Promotion of Catalytic Reactions during Biomass Gasification to Hydrogen
Bibliographic record
Abstract
Hydrothermal catalytic gasification of diluted (0.1 M) biomass (glucose) solution into hydrogen, methane, and carbon dioxide gases in hot, compressed water has previously been achieved. However, efficient gasification was limited to low concentrations, mainly because the glucose−water system was found to react in a homogeneous phase at a relatively moderate temperature (238−250 °C). These reactions yielded precipitates that blocked the catalyst surface. In order for this technology to be practical and economically feasible, high glucose concentrations, higher than 1 M, should be processed. The phase behavior of the concentrated glucose solution was studied in supercritical water using a diamond-anvil cell and a continuous-flow reactor. The homogeneous phase reactions were triggered by the presence of acidic media and heat released during the hydrothermal processes. Dehydration of glucose leading to the formation of 5-hydroxymethylfurfural (5-HMF) is suggested as the major step in the evolution mechanism of the homogeneous phase reactions. 5-HMF tends to polymerize forming precipitates of oligomers with a high degree of polymerization. A novel reactor design has been developed to promote selective biomass gasification to hydrogen while preventing undesired precipitation reactions.
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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) | 0.000 | 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".