Advances in green nanotechnology: Data for green synthesis and characterization of iron nanoparticles synthesized using Galinsoga parviflora, Conyza bonariensis and Bidens pilosa leaf extracts, and their application in degradation of methylene blue dye and rifampicin antibiotic

Sammy Indire Wanakai; Patrick Gachoki Kareru; David Sujee Makhanu; Edwin Shigwenya Madivoli

doi:10.1016/j.dib.2022.108882

Advances in green nanotechnology: Data for green synthesis and characterization of iron nanoparticles synthesized using Galinsoga parviflora, Conyza bonariensis and Bidens pilosa leaf extracts, and their application in degradation of methylene blue dye and rifampicin antibiotic

Data Brief. 2023 Jan 11:46:108882. doi: 10.1016/j.dib.2022.108882. eCollection 2023 Feb.

Authors

Sammy Indire Wanakai¹, Patrick Gachoki Kareru¹, David Sujee Makhanu², Edwin Shigwenya Madivoli¹

Affiliations

¹ Chemistry Department, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62, 000-00200, Nairobi, Kenya.
² Department of Biological & Physical Sciences, Karatina University, P.O. Box 1957-10101, Karatina, Kenya.

Abstract

This data article reports contents of the information derived from an efficient, environmentally friendly, and low-cost method of synthesis and recovery of iron nanoparticles using Galinsoga parviflora, Conyza bonariensis and Bidens pilosa aqueous leaf extracts as reducing, stabilizing, and capping agents, and applications of the nanoparticles in degradation of organic dyes and antibiotics. Various spectroscopic and microscopic techniques were used to collect the data. Data is displayed in the form of .raw files, graphs, images, Microsoft Excel sheets, .data point files, and PDF files, along with other formats. Data analysis and interpretation methods have also been presented. Researchers, research students, academicians, and industrialists can benefit greatly from the data in order to gain knowledge about the green synthesis of iron nanoparticles and related applications such as degradation organic pollutants. The data is deposited in the mendeley data repository as two independent datasets at https://data.mendeley.com/datasets/rxkv6j7hrx.

Keywords: BpNPs, Bidens pilosa iron nanoparticles; CbNPs, Conyza bonariensis iron nanoparticles; Data; Degradation; GpNPs, Galinsoga parviflora iron nanoparticles; Green synthesis; Iron Nanoparticles; Organic pollutants.