Carbon‐Based Electrochemical‐Free Chlorine Sensors
Bibliographic record
Abstract
Abstract Sodium hypochlorite is a widely used additive in water used to disinfect and remove any disease‐causing bacteria that can be found in sources of water, and is used to wash contaminants from meats, fruits, and vegetables. Many free chlorine sensors exist which monitor free chlorine levels such as the use of colorimetric or electrochemical methods, ensuring that the free chlorine is within safe and regulated levels. However colorimetric sensing methods are irreversible and often use toxic compounds, and electrochemical sensors, although reversible, are made with materials which are not suitable to be used near drinking water or food products. By developing sensors which are made using alternative materials and methods, the sensors can be used in and around drinking water and food products. This review article discusses various electrochemical‐free chlorine sensors made with various carbon‐based materials and methods resulting in sensors that are biodegradable, relatively inert, and resilient in the presence of harsh chemicals, making them safe to use near and around food and still maintain competitive performance parameters. This review article showcases some of the recent progress, the importance, preconditions, and the various future needs and potentials of carbon‐based electrochemical‐free chlorine sensors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".