Structure and Properties of Cellulose Nanocrystals
Bibliographic record
Abstract
Being a typical nanostructured biopolymer, nanocellulose contains cellulose nanocrystals (CNCs) and cellulose nanofibrils. This chapter explains the preparation, structure, and properties of CNCs. It describes the different modern methods for the extraction of CNCs and discusses the effects of structural characteristics of CNCs on their physical and chemical properties. Acid hydrolysis is the main strategy for the isolation of CNCs from cellulose. As compared to the traditional acid hydrolysis method, enzymatic fabrication of CNCs is a feasible alternative preparation technique that avoids using harsh chemical reaction conditions and high energy consumption of mechanical fibrillation and heating. It is well known that the structure parameters of the rod-like CNCs, the length and width, vary widely mainly depending on the source and the hydrolysis conditions of cellulose. The source and extraction method also influence the size, morphology (with particular reference to the rod-like structure), and crystallinity of CNCs.
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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) | 0.000 | 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) | 0.002 | 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".