Graphene-based materials and technologies for the treatment of PFAS in water: A review of recent developments
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
Per and polyfluoroalkyl substances (PFAS) are anthropogenic chemicals used in various commercial and industrial applications. As an emerging global concern due to their ubiquity and toxicity, PFAS are the focus of ongoing environmental research. Although production is partially limited by regulations, PFAS are released in water, soil, and air worldwide. Considering their deleterious impacts on wildlife and humans, developing strategies to capture and remove PFAS is crucial. Graphene materials may be advantageously applied to PFAS remediation. A survey of graphene-based materials and technologies used to treat PFAS-contaminated water is presented in this review. First, the general concept of PFAS and their related environmental and health problems are outlined. Then, the features and structures of graphene-containing materials, including graphene quantum dots, graphene oxide (GO), reduced-GO, carbon nanotubes, and graphene nanoplatelets, are described. Finally, prevailing PFAS treatment techniques, i.e., adsorption, advanced oxidation processes, membrane separation, electrochemical separation, and hybrid applications, are described along with the mechanisms involved. Currently, PFAS cannot be effectively treated to the very low regulatory guidelines (less than one part per billion for certain compounds) using any current methods because of incomplete removal, impractical applications, or operating costs. Barriers remain, including adsorbent regeneration, membrane fouling, system scale up, and toxic by-product generation. Integrating graphene-based materials, especially graphene nanoplatelets, into treatment may address these problems if PFAS can be removed completely without secondary contamination. Further research is required to achieve effective PFAS removal. However, health and environmental risks remain associated with PFAS and graphene-based materials, which must be addressed.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 | 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