Ru(III)/Periodate System: Rapid Microbial Inactivation and Micropollutant Abatement in Seconds
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
The worldwide presence of microbial and chemical pollutants has greatly threatened natural water ecosystems and public health. However, there are still very limited strategies for the rapid elimination of these hazardous contaminants in water. This study reported that the combination of ruthenium(III) (Ru(III), 10.0 μM) and periodate (PI, 50.0 μM) could inactivate bacteriophage MS2 and bacteria, reduce antibiotic resistance genes, and degrade organic micropollutants in water in seconds. Multiple lines of evidence suggested high-valent Ru-ligand complexes as the dominant oxidizing species in which PI and/or iodate might act as the ligand(s). The mechanistic studies indicated that the Ru(III)/PI-triggered inhibition of host attachment/genome injection and local membrane damage contributed to a 6 log MS2 and Escherichia coli reduction, respectively, in 10 s. Furthermore, the transformation products of representative emerging micropollutants were characterized, and their stepwise decomposition mechanisms were proposed. Interestingly, the Ru(III)/PI system also achieved high elimination of all of the above coexisting contaminants in real wastewater in 30 s. Taken together, this investigation provides an advanced oxidation strategy, i.e., the Ru(III)/PI system, which is unexpectedly governed by the high-valent Ru-ligand complexes. The proposed technology holds great promise in rapid water decontamination and may be useful in situations where rapid/urgent water treatment is required.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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