Synthesis Of Silver Nanoparticles Using By Gum Arabic Based Hydrogel
Bibliographic record
Abstract
Different researchers have been working to synthesis silver nanoparticles by biological method because this method takes less time, low cost and one step method. Biodegradable material such as gum, bacteria, fungus etc. are used to synthesis silver nanoparticles and organic molecules which are present in biodegradable material, provides stability to silver nanoparticles. Biological method is used to synthesis of silver nanoparticles in this research. Gum Arabic Polyacrylamide Fumaric Acid (GAPAAFA) based hydrogel,used to synthesis silver nanoparticles. GAPAAFA hydrogel is taken into grey solution that contains silver particles that formed from silver nitrate and borax and after three hours, grey solution changes into brownish/yellow silver nanoparticles. GAPAAFA acts as stabilizing and capping agent. Synthesis of silver nanoparticles confirmed by the following method such as Ultra Violet-Visible Spectroscopy (UV-VIS),Thermo-Gravimetric Analysis(TGA),Dynamic Light Scattering(DLS), Zeta potential and effect on Escherichia coli and Bacillus subtilis.
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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) | 0.002 | 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".