A ratiometric indicator pad utilizing Alz/BRI-PVA for visual assessment of fish freshness
Bibliographic record
Abstract
In this study, a novel intelligent water-absorbent cellulose pad with a specified area was developed for the visual and non-destructive monitoring of fish freshness. The pad’s substrate was composed of wood pulp cellulose (WPC), and the specified area contained a ratiometric mixture of brilliant blue (BRI) and alizarin (Alz)., fixed with Polyvinyl alcohol (PVA). During the freshness monitoring process, the Alz/BRI-PVA WPC pad exhibited a color transition from green to brown, followed by a shift to purple-red, corresponding to the increasing levels of total volatile base nitrogen (TVB-N) and total viable count (TVC). After testing, a BRI/Alz ratio of 1:8 was selected as the optimal ratio. Compared to the volatile gas-based sensing tags, the pad developed in this study demonstrated a high sensitivity of 53.4% by interacting with the sample exudate to produce signal changes. This study demonstrates the feasibility of using the developed dual-functional pad for water absorption and freshness indications. • A dual functional pad with indicating and water-absorbing properties is developed. • The indicating area shows color changes for visual detection of freshness. • The indicating area is more sensitive due to the Alz/BRI ratiometric indicator. • The indicating area can change color from green to brown, and then to purple.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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 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".