Synthesis, characterization, and adsorption properties of a Ce(III)-imprinted polymer supported by mesoporous SBA-15 matrix by a surface molecular imprinting technique
Bibliographic record
Abstract
A new Ce(III) ion imprinted polymer (Ce(III)-IIP), which can be used for selective removal of Ce(III) from aqueous solutions, was successfully prepared based on the matrix material of ordered mesoporous silica SBA-15 by surface molecular imprinting technology. The prepared polymer was characterized by X-ray diffraction, transmission electron microscopy, Fourier transmission infrared spectrometry, and nitrogen adsorption−desorption isotherm. The results showed that Ce(III)-IIP kept a uniform framework mesoporosity of SBA-15 but a decrease in Brunauer−Emmett−Teller surface area, pore volume, and average pore diameter. Batch adsorption tests were researched on the effects of solution pH value, mass of sorbent, and contact time at different initial Ce(III) concentrations and temperatures. The kinetic data well fitted the pseudo-second-order kinetic model compared with the pseudo-first-order model. The adsorption isotherm fitted Langmuir model and the dimensionless separation factor R L indicated favorable adsorption. In addition, the Gibbs free energy (ΔG 0 ), entropy (ΔS 0 ), and enthalpy (ΔH 0 ) were calculated from the adsorption data. These values suggested that the adsorption of Ce(III) onto Ce(III)-IIP was a spontaneous and endothermic nature of the process. The relative selectivity coefficients for different metal ion were larger than that of the nonimprinted polymer, indicating that Ce(III)-IIP synthesized for Ce(III) had a higher selectivity specialism for this ion.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".