Towards Smart Drug Delivery: Exploration of a Molecularly Imprinted Polymer Network
Bibliographic record
Abstract
The current study explores the concept of Molecular Imprinting Technology (MIT) and evaluates the ability of a molecularly imprinted hydrogel polymer (MIP) to preferentially uptake the template drug propranolol from aqueous solution. The extent of the molecular affinity and recognition was challenged by introducing a secondary competing structure during uptake. The release of propranolol as a response to environmental stimuli was investigated. The MIP was synthesized with copolymers methyl methacrylate (MMA) and N,N-dimethyl acrylamide (DMAA). Morphology was studied by scanning electron microscopy (SEM), ptake, displacement, and release experiments were studied by fluorescence spectroscopy. The SEM studies did not indicate the presence of molecularly imprinted cavities. The MIPs demonstrated preferential uptake in comparison to the non-imprinted (NIP) counterpart. The displacement studies revealed that uptake by the MIP is not very selective. The release studies demonstrated that ropranolol release can be tailored to respond to environmental stimuli such as temperature and, especially, pH.
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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) | 0.000 | 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 | 0.001 |
| 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 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".