Monitoring of oxygen using colorimetric indicator based on graphene/TiO<sub>2</sub> composite with first‐order kinetics of methylene blue for modified atmosphere packaging
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
Oxygen is crucial to food preservation and food spoilage. For the purpose of monitoring the integrity of modified atmosphere packaging (MAP) by nondestructive testing and controlling the reaction rate during recovery stage, we reported on a convenient and visual colorimetric oxygen indicator based on a graphene/titanium oxide composite, incorporating glycerol, methylene blue (MB), hydroxyethyl cellulose, and polyvinyl alcohol. The graphene/titanium oxide composite was synthesized from a modified Hummers synthesis of graphene oxide, followed by the hydro‐thermal treatment with butyl titanate without using any reducing agent, then the morphology and structure characteristics were analysed by X‐ray diffraction, Fourier transform infrared, Raman spectra, ultraviolet ‐ visible spectroscopy, SEM, and TEM. Supported by the performance tests using ultraviolet ‐ visible spectroscopy and CIElab, the indicator demonstrated the pseudo first‐order kinetics of MB for MAP in detecting stage. The results confirmed that the prepared colorimetric indicator could actually detect the integrity of MAP without destruction. Additionally, the reaction time of indicator in recovery stage can be controlled by changing the concentration of MB because of pseudo first‐order kinetics.
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.
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 | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it