Investigation of an integrated approach for bio‐crude recovery and enzymatic hydrolysis of microalgae cellulose for glucose production
Bibliographic record
Abstract
Cellulose from microalgae offers potential value as a source of fermentable sugars. This cellulose can be used after the extraction of other valued products in the biomass such as bio‐crude. In this paper, an integrated approach to bio‐crude and glucose recovery from microalgae was studied. First the bio‐crude recovery efficiency using high‐pressure steaming was calculated for microalgae cultures with different lipid and cellulose contents. Next, enzymatic hydrolysis was applied to obtain fermentable sugars. The best extraction efficiency with high‐pressure steaming was 97.9 ± 8.3 % for the algae containing the lowest cellulose content. The algae treatment with high‐pressure steaming at 210 °C followed by hydrolysis with cellulase led to glucose yields of 0.28 g/gbiomass, indicating that high‐pressure steaming is a suitable method for the production of two sources of bio‐fuels (bio‐crude and glucose) from microalgae.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".