A smart nanofibre sensor based on anthocyanin/poly‐l‐lactic acid for mutton freshness monitoring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary Food poisoning is a major issue worldwide. However, methods for identifying contaminants in foods are inefficient. Here, a solid dye was designed for mutton freshness monitoring by incorporating blueberry‐derived anthocyanins and degradable poly‐l‐lactic acid (PLLA). The solid dye was easily processed into ink, soft transparent film and nanofibre film. The nanofibre film prepared by electrostatic spinning (sensor) showed good colour stability at 4–25 °C. As the ammonia concentration increased, the sensor colour changed from pink to light pink and then to colourless. The detection limit was 37 ppm. The sensor could be repeatedly used. Applying the sensor to the detection of mutton freshness, it was found that the sensor colour change was directly related to the quality of mutton. The sensor could effectively monitor mutton freshness in real time and the colour changes were easily distinguished by naked eyes, suggesting its potential in intelligent packaging for freshness monitoring of meat foods.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 it