Cellulose in Nature - Versatile sources for Novel Applications: A Literature Review
Bibliographic record
Abstract
Introduction: Cellulose is the most abundant organic compound and the main component of the plant cell wall. However, it can be derived from other sources: tunicates, algae, and bacteria. Different sources of cellulose were shown to produce end-products of different mechanical properties and were considered for producing cellulose in non-industrial conditions. Methods: Procedures for the extraction of cellulose from different sources are described. They are similar for plants and algae, including bleaching and purification processes amongst others, while bacteria found in symbiotic cultures of bacteria and yeasts (SCOBYs) are capable of growing cellulose layers above their cultivation media. After extraction or bacterial cultivation, mechanical treatments are performed in order to modify new cellulose layers for specific applications. Results: Plant sources of cellulose are various and widely available, and often used for the industrial production of cellulose. Algae-derived microcrystalline cellulose (MCC) is similar to that from plant sources, but has higher crystallinity and, often, requires simpler extraction processes. Finally, cellulose grown by bacteria found in SCOBYs is the most optimal for non-industrial conditions, owing to the simplest cultivation and extraction procedures. Discussion: On a large scale, plant sources of cellulose are the optimal ones. The main downside of algal cellulose is that it is season-dependent, and more difficult to acquire than bacterial and plant sources. While having access to laboratory conditions for incubations and using a pure bacterial culture would be preferable, cultivation methods are simple enough to be adapted for home conditions. Also, conditions of incubation can be varied based upon the intended properties of the end-product: the efficiency of cellulose growth and its properties depend on the chosen carbon source. When bacteria produce a cellulose layer or it is extracted from another source, mechanical treatments for tuning porosity and other properties are applied. Conclusion: Sources of cellulose are numerous, and some are more suitable than others for non-industrial production, namely, using easily obtainable SCOBYs. This allows for a wide variety of applications: from artificial skin and face masks, to sustainable batteries and different food products.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".