Adsorption for perfluorooctanoic acid with graphitic‐phase carbon nitride and its HPLC fluorescence determination
Bibliographic record
Abstract
Abstract In this paper, graphitic‐phase carbon nitride (g‐C 3 N 4 ) was prepared from urea and detected by FTIR, XRD, SEM, TEM, Boehm titration, zeta potential, and N 2 adsorption‐desorption analyzes, demonstrating that g‐C 3 N 4 possesses a thin sheet structure, negative surface, and strong alkalinity. Considering the alkaline groups and huge areas, g‐C 3 N 4 was employed to adsorb perfluorooctanoic acid (PFOA). The adsorption capacity of g‐C 3 N 4 towards PFOA was evaluated by batch adsorption experiments, indicating the considerable adsorption capacity of 120.879 mg g −1 . The isothermal models and kinetic models were also performed in order to study the adsorption process, proving that PFOA adsorption was fitted by the Langmuir isothermal model and pseudo second‐order model. In addition, residual PFOA concentration after adsorption was determined by high performance liquid chromatography (HPLC) with a fluorescence detector after being derived with 3‐(2‐bromoacetyl) coumarin (3‐BrAC). The HPLC fluorescent detection showed satisfied linearity from 0.5 to 20.0 ug mL −1 with a sound R 2 of 0.9992. This is the first time that g‐C 3 N 4 was applied to PFOA adsorption from aqueous solutions with outstanding adsorption capacity.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".