Development of Functional Agent Release Fabric Using Β-Cyclodextrin Inclusion Compound
Bibliographic record
Abstract
The β-Cyclodextrin inclusion compounds were attached to the 100% cotton and 50/50 blend cotton/polyester fabrics using Sol-gel, prepared from 3-Glycidoxypropyltrimethoxysilane (GPTMS) and Tetraethoxy orthosilicate (TEOS).The cotton and polyester/cotton fabrics were treated with Sol-gel, which was attached with cotton cellulose through covalent bonding, while in the polyester portion attaches to the Sol-gel through a secondary bonding.β-Cyclodextrin molecules were held in place in the microporous structure of a Sol-gel-network and thus attached to the fabric.Aromatherapy oil, having eucalyptus, lavender and lemon fragrances, were applied to the treated fabrics by a selected application method.The durability of these fragrances on fabrics was rated by four judges over six weeks; and up to six washings.The scent ratings decreased over six weeks and six washing; however, the fabrics continued to have a decreased fragrance after, the six weeks.β-Cyclodextrin was also attached to the textile fabric by esterification reaction with citric acid in the presence of the catalyst sodiumdihydrogenphosphate. Cross-linking occurs because of the presence of three carboxyl groups in citric acid that are able to bind with the hydroxyl groups of β-Cyclodextrin and cotton cellulose.As a consequence of crosslinking between the citric acid, β-Cyclodextrin and cellulose in fabric, the β-Cyclodextrin inclusion complex gets firmly grafted to the textile fabric.The active agent used in the inclusion complex was Thyme (Thymus vulgaris) essential oil which has a strong smell/fragrance.Over a period of time and subsequent wash-cycles, the retention of smell was determined by employing a subjective rating technique.Thymol present in Thyme essential oil applied on the fabric was also determined by colorimetric quantitative estimation.
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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) | 0.001 | 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".