Advances in green nanobiotechnology: Data for synthesis and characterization of silver nanoparticles from ethanolic extracts of fruits and leaves of .
Clicks: 191
ID: 36049
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
61.2
/100
191 views
154 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #133 of 180 articles by views in Data in brief
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 180 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this data article, data obtained from an efficient, eco-friendly and low-cost method for the synthesis and recovery of Silver nanoparticles (AgNPs) using ethanolic extracts of Annona muricata fruits and leaves as reducing, stabilizing and capping agents has been reported. 99.7% pure silver nitrate was used as the inorganic ion source. The data was obtained using different spectroscopic and microscopic techniques. The data is presented in form of images, Microsoft excel sheets, graphs,.raw files,.dpt files, PDF files, among others. Methods of analysis and interpretation of the data have also been presented. The data can be most useful to researchers, research students, industrialists and academicians to acquire knowledge on the green synthesis of AgNPs and related applications. The data is deposited in the Mendeley Data Repository as two independent datasets accessible at https://doi.org/10.17632/jkj2x782wh.1 Gavamukulya et al., 2019 and https://doi.org/10.17632/f4mb6b488n.1 Gavamukulya et al., 2019.
| Reference Key |
gavamukulya2019advancesdata
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Gavamukulya, Yahaya;El-Shemy, Hany A;Meroka, Amos M;Madivoli, Edwin S;Maina, Esther N;Wamunyokoli, Fred;Magoma, Gabriel; |
| Journal | Data in brief |
| Year | 2019 |
| DOI |
10.1016/j.dib.2019.104194
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.