A colour indicator film based on bromothymol blue/poly‐L‐lactic acid/polyvinylpyrrolidone for detecting bacteria
Bibliographic record
Abstract
Abstract The unintentional bacterial contamination in food seriously harms food quality and human health, so it is necessary to establish a real‐time bacterial detection method. Here, a colour indicator film was designed to detect bacterial by incorporating bromothymol blue (BTB) into degradable poly‐L‐lactic acid (PLLA) and polyvinylpyrrolidone (PVP). The colour indicator film was prepared into fibres by electrospinning technology. The colour indicator film showed colour responsiveness from yellow to green at different pH. The colour indicator film showed good colour stability at different temperature and humidity conditions. The colour indicator film was used for the detection of bacteria, and it was found that the colour indicator film could make a colour response visible to the naked eye according to different concentrations of bacteria, which showed the great potential of the colour indicator film in detecting bacteria.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".