Ocean Resources for the Production of Renewable Chemicals and Materials
Bibliographic record
Abstract
This chapter describes the use of ocean- or marine-sourced biomass for the production of renewable materials and chemicals. Algae and waste from the fisheries can be used to provide a range of chemicals including biopolymers (carbohydrates), pigments, proteins (and amino acids), lipids and minerals. This chapter highlights the use of algae to produce phycocolloids (carrageenans, agarose and alginates), waste crustacean shells to produce chitin, chitosan and related small molecules, and waste mollusc shells to produce biorenewable calcium carbonate. In many cases, green chemistry and engineering approaches are employed. Examples include the use of catalysts (both chemical and bio-catalysts) and the use of alternative solvents (water, supercritical fluids and ionic liquids). Furthermore, consideration of the overall sustainability of current fishing and aquaculture practices is encouraged and the use of by-products for adding commercial viability to this sector of the economy is outlined.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.097 | 0.057 |
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".