Recent Advances in Algae-Derived Biofuels and Bioactive Compounds
Bibliographic record
Abstract
Owing to the declining reserve of fossil resources as well as more concerns on climate change, and essential energy security, and especially the broad consensus on carbon neutralization, it is significantly critical to develop renewable and sustainable energy and chemicals. Algae as alternative resources can be applied to produce biofuels and biochemicals. Among them, algae-derived natural pigments exhibit high market value due to their uses in pharmaceutical and food industries. As a result of the developments of engineering tools, it is feasible to scale up algal processing and applications. Prior to the industrial implementation, life cycle assessment is required to ensure the environmental feasibility of algae-based biofuels and biochemicals. In this article, recent advances in processing algae for liquid, gas, and solid fuels are reviewed. New approaches for enhancing the natural pigment accumulation are also discussed. Recent studies on life cycle assessment of algae-based biofuels and biochemicals, as well as the main challenges faced by the algal biorefinery, are discussed in this manuscript.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".