Preparation, characterization, and morphology of on/off detection indicator based on rhodamine 6G‐adamantanamine loaded onto nonwoven polyethylene terephthalate
Bibliographic record
Abstract
Traditionally, food quality is evaluated by consumers through comparison of the production and expiration dates of the product. However, product shelf life cannot be the real and only parameter of food quality, especially within a variety of storage environments. Therefore, new indicators of food quality are needed to provide food safety to the consumer. In this work, we reported a detection indicator based on rhodamine 6G‐adamantanamine and β‐cyclodextrin (β‐CD) polyelectrolyte cross‐linked onto a nonwoven polyethylene terephthalate textile support, which can be used as the indication of food quality by means of the irreversible change of fluorescence. The relationship between the increase of fluorescence and pH variation was also reported. Considering food safety, a migration experiment was carried out using a food simulation system. When pH changed to 6.8, the evident fluorescence can be observed by naked eye at 650‐nm excitation wavelength. β‐CD can not only act as a good carrier of rhodamine 6G‐adamantanamine but also enhanced the fluorescence to indicate whether rhodamine 6G‐adamantanamine was loaded onto β‐CD polyelectrolyte or nonwoven polyethylene terephthalate. After 250 h of migration experiment at 25°C, it was found that the fluorescent substances slightly migrated, and the migration under acidic conditions was almost negligible. The fluorescence enhancement performance and migratory behavior indicated that the material had the potential as a fluorescent intelligent indicator for food packaging.
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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) | 0.000 | 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 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".