A critical review on micro‐ and nanomotors: Application towards wastewater treatment
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
Abstract Micro‐ and nanomotors are synthetic devices that can transform various sources of energy into motion. These devices perform specialized tasks as they propel themselves in response to stimuli. The application of self‐propelled micro‐ and nanomachines in wastewater treatment has been of prime importance in the last decade. Compared to static decontamination systems, micro‐ and nanomachines can remove or degrade water pollutants in a much more rapid way owing to higher diffusion rates and fluxes. The present review focuses on the recent progress of micro‐ and nanomachines in wastewater treatment and provides an overview of their structural features, synthesis procedures, and propulsion mechanisms. We reviewed the applications of micro‐ and nanomachines to remove heavy metals, dyes, and organic pollutants from wastewater. We also discussed the challenges micro‐ and nanomotors face during wastewater treatment, thus providing a holistic approach to the article. This article highlights the shortcomings as well as the opportunities for micro‐ and nanomotors‐based technology in wastewater treatment.
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) | 0.001 | 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