Visible Colorimetric Oxygen Indicator Based on Ag‐Loaded TiO<sub>2</sub> Nanotubes for Quick Response and Real‐Time Monitoring of the Integrity of Modified Atmosphere Packaging
Bibliographic record
Abstract
Abstract Oxygen indication is a new technique for non‐destructive testing (NDT) of modified atmosphere packaging (MAP). Damage may occur at any time during the transportation and storage of MAP, resulting in increased oxygen concentration. This may lead to food quality decline and even food spoilage. However, it is difficult to judge whether the package is undamaged without professional equipment. A visible colorimetric oxygen indicator that can accurately identify an intact packaging system to ensure food safety is reported. The indicator consists of an Ag‐loaded titanium dioxide nanotube (Ag‐TNT), glycerol, methylene blue (MB), and hydroxyethyl cellulose (HEC). According to X‐ray diffraction, X‐ray photoelectron spectroscopy, transmission electron microscopy, Brunauer–Emmett–Teller analysis, diffuse reflectance spectroscopy, and UV–vis results, the Ag‐TNT showed efficient photocatalytic performance, increased specific surface area (from 85 to 227 m2 g−1), and an increased band gap of 3.30 eV. These results dramatically improved the performance of Ag‐TNT as an oxygen indicator. Additionally, it demonstrated two outstanding properties: blocking indicator response to natural light (wavelength > 380 nm) and shortening the bleaching time during activation. Such an oxygen indicator can considerably enhance the accuracy of NDT for packages. Furthermore, it can be used in the packaging of different foodstuffs, ensuring food safety.
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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 | 0.001 | 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".