Pelagic <i>Sargassum</i> waste as an excellent feedstock for bioethanol production: hydrolysis optimisation and kinetics
Why this work is in the frame
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Bibliographic record
Abstract
This study highlights the potential of marine macroalgae waste as a viable feedstock for bioethanol production. Compositional analyses have shown that this pelagic seaweed waste contains substantial carbohydrates. To further enhance the extraction of fermentable sugars from the biomass, a response surface methodology (RSM) statistical optimisation approach was applied, involving 27 experimental runs. Optimal hydrolysis conditions, determined through statistical analysis, consisted of a 0.8 M sulphuric acid concentration, a temperature of 130 °C, and a 60-min duration, resulting in a sugar yield of approximately 132 mg/g. The hydrolysis of Sargassum biomass followed a first-order reaction kinetics with an activation energy of 41.36 kJ/mol and a pre-exponential factor of 127 (molH2SO4)−1.s−1. Furthermore, the obtained hydrolysate was fermented using Saccharomyces cerevisiae NT116. This resulted in a maximum ethanol yield of 0.497 ± 1 g/g, highlighting the potential of this biomass in bioethanol production.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it