Purple to Yellow Silicone Elastomers: Design of a Versatile Sensor for Screening Antioxidant Activity
Bibliographic record
Abstract
Abstract Antioxidants play a key role in counteracting the adverse effects of oxidative stress in human organisms. Thus, there is a huge demand for the development of smart and convenient assays for the evaluation of antioxidant activity of synthetic and natural compounds, food samples, plant extracts, etc. The design of a solid‐state, flexible, and portable format of the traditional in vitro 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) radical test is reported. For the first time, purple DPPH radicals are physically immobilized into a silicone matrix by means of a facile and rapid process. The working principle of the resulting sensor is based on the colorimetric process that is associated with the redox reaction of DPPH radicals with antioxidants. When an antioxidant reacts with the sensor, a color change from purple to yellow can be perceived by the naked eye. The response of the sensor is investigated qualitatively and quantitatively toward food samples and selected antioxidants of different natures, and solubilized in different media. It is demonstrated that the DPPH silicone sensor is highly versatile and can be used as a ready‐to‐use sensor for direct colorimetric detection of antioxidants.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".