Comparative Anti-inflammatory Activity of Silver and Zinc Oxide Nanoparticles Synthesized Using Ocimum tenuiflorum and Ocimum gratissimum Herbal Formulations
Bibliographic record
Abstract
Background The aim of this study was to evaluate and compare the anti-inflammatory properties of silver nanoparticles (AgNPs) and zinc oxide nanoparticles (ZnONPs) that were synthesized utilizing African tulsi and black tulsi herbal formulations. The anti-inflammatory activity was assessed by the utilization of bovine serum albumin (BSA) denaturation and egg albumin denaturation tests. In addition, a membrane stabilization experiment was performed to evaluate their efficacy as anti-inflammatory drugs. Methods This study was conducted at Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India. AgNPs and ZnONPs were synthesized using Ocimum tenuiflorum (African tulsi) and Ocimum gratissimum (black tulsi) extracts. The BSA denaturation assay involved mixing serum albumin with different nanoparticle concentrations (10-50 µg/mL) and measuring absorbance at 660 nm. The egg albumin denaturation assay followed a similar procedure. The membrane stabilization assay utilized red blood cells and spectrophotometric measurements at 540 nm. Results In the BSA denaturation assay, AgNPs and ZnONPs showed concentration-dependent inhibition of protein denaturation. While these nanoparticles exhibited anti-inflammatory potential, diclofenac sodium consistently displayed slightly stronger inhibition. In the egg albumin denaturation assay, AgNPs and ZnONPs inhibited protein denaturation at various concentrations. Their anti-inflammatory effects were comparable to the standard drug, diclofenac sodium. In the membrane stabilization assay, both nanoparticle types demonstrated concentration-dependent membrane stabilization effects. Diclofenac sodium exhibited slightly stronger membrane stabilization. Conclusions AgNPs and ZnONPs synthesized using Ocimum tenuiflorum and Ocimum gratissimum (African tulsi and black tulsi) possess anti-inflammatory potential, as demonstrated by their inhibition of protein denaturation and membrane stabilization. While these nanoparticles show promise as anti-inflammatory agents, further research is needed to explore their clinical applications and safety profiles.
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.
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) | 0.000 | 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 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".