Electrolyzed Water Generated Using a Circulating Reactor
Bibliographic record
Abstract
Abstract Electrolyzed water offers several advantages over other sanitizers for sanitation of both food contact and non-contact surfaces. However, current electrolyzed water-generating process has low fluid output. To overcome such limitations, a circulating electrolyzed water-generating system has been developed in this study. The effects of NaCl/HCl concentration and electrolysis time were investigated. The free chlorine form (HClO and ClO – ) of circulating electrolyzed water, and NaClO with the available chlorine concentrations of 50, 100, 200 mg/L were analyzed by using an ultraviolet spectrophotometer. The results show that the main chlorine form was HClO when the pH of solution was 6.44–6.53. The only ClO – in NaClO solutions when the pH of solution is 11.90. With the dilution of circulating electrolyzed water, the HClO concentration decreased while its proportion account for total available chlorine concentration increased (from 56.99% to 74.29%). The results indicated the potential application of diluted circulating electrolyzed water with high available chlorine concentration. The developed circulating electrolyzed water system in this study could be considered as a potential sanitizer due to its high stability, strong antimicrobial activity with high concentration of HClO and minimized equipment requirements for production.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".