Polyamide/ <scp> SiO <sub>2</sub> </scp> /Gelatin In Situ Composite From <scp>BIC</scp> /Sol–Gel Co‐Reaction for Dual Applications in Hg <sup>2+</sup> Electrochemical Probing and Both Anionic/Cationic Dyes Removal
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 In this study, a novel polyamide (PA)/SiO 2 /gelatin (GL) in situ hybrid material (PA‐Si‐GL) was successfully prepared at room temperature by introducing amphoteric biomass, GL, as a reaction substrate into benzoxazine‐isocyanide chemistry (BIC)/sol–gel reaction system. The systematic characterization of PA‐Si‐GL's chemical structure and fundamental properties was implemented subsequently. The in situ integration of GL with diverse N,O‐containing segments (amide, phenol OH, and SiOSi) present in PA/SiO 2 fraction could strengthen the affinity between PA‐Si‐GL and Hg 2+ /dyes. PA‐Si‐GL's binding for Hg 2+ was reasonably utilized to realize the probing of this highly poisonous heavy metal. With PA‐Si‐GL as the active modifier, the modified glassy carbon electrode (GCE) (termed as PA‐Si‐GL/GCE) exhibited a specific enrichment‐enhanced electrochemical response toward Hg 2+ , with a detection limit as low as 2.8 × 10 −10 mol/L. Concurrently, PA‐Si‐GL can remove both anionic (Congo red [CR]) and cationic (methylene blue [MB]) dyes from contaminant water. The maximum adsorption capacities of PA‐Si‐GL for CR/MB reached 680.1/1001.3 mg/g (298 K), respectively. Mechanistic studies regarding Hg 2+ probing and dyes adsorption by PA‐Si‐GL were carried out by the combination of experimental comparison and chemical calculation.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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