Surface-dependent biological potential of spherical silver nanoparticles - Open Research Data - Bridge of Knowledge

Your account

login

Search

Surface-dependent biological potential of spherical silver nanoparticles

Description

The growing interest in silver nanoparticles (AgNPs) is largely driven by their significant antimicrobial potential. As carriers of reactive silver ions on a nanoscale, AgNPs are considered excellent candidates for specific antibacterial strategies. Numerous scientific studies have highlighted that AgNPs are broad-spectrum antimicrobials, with their surface properties playing a crucial role in their biological effectiveness. However, most research to date has focused on a limited range of AgNP colloids and bacterial strains. Our hypothesis posited that the interaction between bacterial cells and nanoparticles begins at the cell surface, and thus, the surface characteristics of both influence the antibacterial efficacy of AgNPs. To test this, we evaluated various physicochemical and biological properties of well-characterized AgNP colloids and their antibacterial effectiveness against six species of Gram-positive and Gram-negative bacteria.

The dataset contains results for the following analyses:

  • nanoparticle concentration (ICP-OES), shape (TEM), size distribution (DLS), zeta potential (Zetasizer), absorption spectra and susceptibility to ion dissolution (spectrophotometry);
  • antimicrobial potential of nanoparticles;
  • silver absorption to bacterial cells (ICP-OES) and bacterial envelope disruption (spectrophotometry);
  • nanoparticle attachment to bacterial cells (TEM, SEM);
  • cytotoxic and haemolytic potential (spectrophotometry).

Dataset file

DATA REPOSITORY.zip
127.4 MB, S3 ETag 06856bec60d728968df5ab80d3baa011-1, downloads: 4
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc-nd 4.0 open in new tab
CC BY-NC-ND
Non-commercial - No Derivative Works
File embargo:
2026-07-15

Details

Year of publication:
2024
Verification date:
2024-07-15
Dataset language:
English
Fields of science:
  • biological sciences (Natural sciences)
  • chemical sciences (Natural sciences)
  • biotechnology (Natural sciences)
DOI:
DOI ID 10.34808/97fn-xr10 open in new tab
Verified by:
No verification

Keywords

Cite as

Authors

seen 111 times