Sorption Study of Water Vapor and a Dye on Chitosan-Based Framework Materials
Bibliographic record
Abstract
Abstract Two types of chitosan framework materials were functionalized with carboxyl groups via a supramolecular cross-linking process by citric acid (CA) and trimesic acid (TMA). The role of surface chemistry (i.e., functional groups) and textural properties (i.e., pore size and surface area) in adsorption properties of these chitosan frameworks toward water vapor and dye was investigated. Extensive characterizations using N2 adsorption–desorption, contact angle measurements, differential scanning calorimetry, atomic force microscopy, and confocal microscopy were carried out to understand structure–property relationships of these framework materials. The dynamic vapor sorption analyzer measured water vapor sorption percentage (R %) values of 46.7, 43.9, and 41.5 for TMA1, CA1 framework materials, and chitosan, respectively. The calculated adsorption percentage values of dyes in aqueous solution were 69.7, 39.2, and 18.8 (R %) for TMA1, CA1, and chitosan, respectively.
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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".