Facile Synthesis of Silver Nanoparticles of Aqueous Extract of Bhut Jolokia a Cultivar of Capsicum chinense Jaqc and its Antibacterial Effect
Bibliographic record
Abstract
The article explores a novel method of synthesizing silver nanoparticle using aqueous extract of Capsicum chinense Jaqc. The capsaicinoid alkaloids and polyphenols served as an reducing and stabilizing agent in the formation silver nanoparticles. The formation of silver nanoparticle was confirmed by the surface Plasmon resonance which occurred at 430 nm. A gradual colour change of the reaction medium occurred from colourless to pale yellow tinge followed by pale red and then to intense reddish brown colour. The completion of nanoparticle synthesis occurred at 6 hr, as further increased in reaction time showed a marginal rise in the intensity of colour. The characterization of the formed silver nanoparticle was carried out using UV Visible Spectrophotometry and Transmission Electron microscopy. The antibacterial studies were carried out using well diffusion technique using pure culture of Escherichia coli, which showed an inhibition zone of 11.8 mm at a dosage of 70 μg/ml.
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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".