Green Synthesis of pH-Responsive Metal–Organic Frameworks for Delivery of Diclofenac Sodium
Bibliographic record
Abstract
The current study developed a drug delivery system through the green chemistry-based synthesis of a biologically friendly metal-organic framework (bio-MOF) called Asp-Cu, which included copper ions and the environmentally friendly molecule L(+)-aspartic acid (Asp). For the first time, diclofenac sodium (DS) was loaded onto the synthesized bio-MOF simultaneously. The system's efficiency was then improved by encapsulating it with sodium alginate (SA). FT-IR, SEM, BET, TGA, and XRD analyses confirmed that DS@Cu-ASP was successfully synthesized. DS@Asp-Cu was found to release the total load within 2 h when used with simulated stomach media. This challenge was overcome by coating DS@Cu-ASP with SA (SA@DS@Cu-ASP). SA@DS@Cu-ASP displayed limited drug release at pH 1.2, and a higher percentage of the drug was released at pH 6.8 and 7.4 due to the pH-responsive nature of SA. In vitro cytotoxicity screening showed that SA@DS@Cu-ASP could be an appropriate biocompatible carrier with >90% cell viability. The on-command drug carrier was observed to be more applicable biocompatible with lower toxicity, as well as adequate loading properties and responsiveness, indicating its applicability as a feasible drug carrier with controlled release.
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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 | 0.000 |
| 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 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".