Fabrication of hydrophobic cellulose nanocrystals
Bibliographic record
Abstract
ABSTRACT An environmentally friendly procedure for the chemical modification of cellulose nanocrystals (CNCs), obtained from pine wood, was developed to manufacture hydrophobic CNCs. In comparison to other methods, this procedure has the particularity of producing a hydrophobic CNC in a single step, without using organic solvents while using MTMS as a precursor. CNCs were successfully dispersed in water, and the NMR technique was used to study the hydrolysis reaction of the MTMS in water before the surface modification of the CNCs. After 24 h of the modification reaction, the spray‐drying method was used to produce a dry powder of modified CNCs. The obtained hydrophobic CNCs were characterized by several techniques. FTIR spectroscopy confirmed the covalent bonds between the MTMS and CNCs as well as the formation of nanostructured polymethylsilsesquioxane (PMSQ) on the surface of the CNCs. XPS spectroscopy examined the presence of Si atoms of the MTMS on the surface of the CNCs. XRD detected the presence of a crystalline structure of PMSQ on the surface of the CNCs and confirmed the preservation of the CNCs crystal after the modification operation. The morphology study using SEM, AFM, and TEM techniques confirmed the presence of nanostructured PMSQ on the surfaces of modified CNCs. The hydrophobic CNCs showed a significant increase in water contact angle (110°) compared to that of unmodified CNCs (43°). This new way of modifying CNCs can produce hydrophobic CNCs with potential for dispersion in non‐polar polymers for the formulation of new nanocomposites.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".