Application of Subcritical Water for Conversion of Macroalgae to Value-Added Materials
Bibliographic record
Abstract
Subcritical water technology was used for treatment of Codium fragile (C. fragile) as a model for green macroalgae. Subcritical water reactions were carried out for 10 min at temperatures ranging from 100 to 240 °C. After reaction, three main phases were isolated: aqueous, residual solid, and hexane soluble phases. The aqueous phase showed a very high total organic carbon (TOC) content due to decomposition and solubilization of the cellulosic portion and other organic molecules of the algae. The main products identified in the aqueous phase were soluble sugars, derived from hydrolysis reactions. The production of other biobased compounds was also examined and several value-added compounds were identified. Investigation of the residual solid phase after treatment showed that with increasing subcritical water temperature, the amount of total residual solid declined and finally reached a constant amount at higher temperatures, attributed to the inorganic composition of the algae sample. The maximum inorganic composition of the sample was identified as approximately 36% based on dry matter. We also evaluated and compared the higher heating values (HHVs) of the residual solid residue and initial sample base on ultimate analysis. Finally, the hexane soluble content of this type of algae was found to be very low.
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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".