Molecular imprinted polymers for the controlled uptake of sinapic acid from aqueous media
Bibliographic record
Abstract
Several unique molecularly imprinted polymers (MIPs) were synthesized via a precipitation polymerization technique using 4-vinylpyridine as a functional monomer and ethylene glycol dimethacrylate as a cross-linker for selective separation of sinapic acid from aqueous solution. Three sets of MIPs with different functional monomer : cross-linker molar ratios at 4 : 20; 8 : 20 and 8 : 32 were prepared along with the corresponding non-templated polymers (NIPs). The MIPs and NIPs were characterized by scanning electron microscopy, dynamic light scattering, N2 adsorption analysis, thermogravimetry, and FT-IR/solids 13C NMR spectroscopy. Batch rebinding and selectivity experiments were carried out to evaluate their adsorption performance, where the MIP prepared with a 4 : 20 monomer : cross-linker mole ratio had significantly higher affinity toward sinapic acid. Notably, all MIPs displayed greater molecular recognition with sinapic acid relative to the NIPs. Therefore, MIPs prepared by this approach represent promising advanced materials for the pre-concentration, isolation and enrichment of sinapic acid from complex food matrices or controlled removal from agricultural waste streams.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".