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SelTox – Toxicity of Inorganic Nanoparticles on Bacteria

Original Data

Title: SelTox dataset – Toxicity of inorganic nanoparticles in various normal and pathogenic bacterial strains
Description: The dataset contains experimental information on the toxicity of inorganic nanoparticles tested against different bacterial strains, including both normal and multidrug-resistant (MDR) types.
Total number of records: 3244
Number of features (columns): 36
Data type: Mixed
Application: Nanomaterials
Automatic validation: Yes

Data Scheme

SelTox Dataset – Column Descriptions

Column Name Description
sn Internal index for entries.
np Name of the nanoparticle (e.g., Ag, Au, ZnO).
coating Surface coating or modification (1 = presence, 0 = none).
bacteria Name of the tested bacterial strain.
mdr Indicator for multidrug-resistant strain (1 = MDR, 0 = non-MDR).
strain Specific strain identifier (if provided).
np_synthesis Synthesis method of the nanoparticle.
method Assay type used (e.g., MIC, ZOI).
mic_np_µg_ml MIC value in µg/mL for the nanoparticle.
concentration Concentration used for ZOI measurement.
zoi_np_mm ZOI (Zone of Inhibition) in millimeters.
np_size_min_nm Minimum nanoparticle size (nm).
np_size_max_nm Maximum nanoparticle size (nm).
np_size_avg_nm Average nanoparticle size (nm).
shape Morphology of the nanoparticle (e.g., spherical, rod).
time_set_hours Duration of the antibacterial assay in hours.
zeta_potential_mV Zeta potential (in mV); blank if not reported.
solvent_for_extract Solvent used in green synthesis (if applicable).
temperature_for_extract_C Temperature for extract preparation (°C).
duration_preparing_extract_min Duration (in minutes) of extract preparation.
precursor_of_np Chemical precursor used for nanoparticle synthesis (e.g., AgNO₃).
concentration_of_precursor_mM Concentration of precursor in millimolar.
hydrodynamic_diameter_nm Hydrodynamic diameter in nanometers.
ph_during_synthesis pH during nanoparticle synthesis.
reference External source or citation URL.
doi DOI of the publication.
article_list Article ID in dataset.
pdf Filename of the PDF in archive for reference checking.
access Access status (1 = open access, 0 = closed access).

Metadata

Column Name Description
journal_name Name of the journal.
publisher Name of the publisher.
year Year of publication.
title Title of the article.
journal_is_oa Whether the journal is Open Access (True / False).
is_oa Whether the article itself is Open Access (True / False).
oa_status Open Access status (e.g., green, gold, hybrid, closed).
pdf Name of the PDF file in the dataset.
access Access status code (1 = open, 0 = closed).

Key Notes

  • mdr: 1 = Multidrug-resistant strain, 0 = Non-resistant
  • Units are embedded in column names (e.g., nm, mM, °C, mm)
  • Fields like strain, zeta_potential, hydrodynamic diameter may be blank if data is not reported
  • coating: 0 = no coating, 1 = coating present
  • Validation and verification were conducted based on original articles in PDF format

Dataset Description

The SelTox dataset provides detailed experimental data on the antibacterial activity of inorganic nanoparticles against both normal and multidrug-resistant bacterial strains. It captures key physicochemical properties of nanoparticles (e.g., size, shape, synthesis method), assay conditions (e.g., MIC, ZOI), and biological targets (bacterial species and resistance status).

Each record includes:

  • Nanoparticle specifications (material, synthesis method, size, zeta potential)
  • Biological target information (bacterial species, MDR status)
  • Assay type and result (MIC, ZOI)
  • Conditions of synthesis (e.g., solvent, temperature, pH)
  • Metadata and publication references (DOI, journal, year, etc.)

The goal of the dataset is to support research in nanotoxicology by enabling analysis of how nanoparticle characteristics correlate with antibacterial efficacy, particularly against drug-resistant strains.

Validation Results

The SelTox dataset underwent 51 corrections (48 pattern-based and 3 isolated). Errors were mostly located in np_synthesis, strain, and bacteria columns, typically reflecting inconsistent terminology for biological strains or procedural details. Most issues were recurring and resolved via rule-based updates.