Green synthesis and characterization of ferrous nanoparticles using Psidium guajava (Linn.) leaf extract

Ferrous nanoparticles were produced using the aqueous leaf extracts of Psidium guajava as a dual reducing and stabilizing agent. A color shift from pale yellow/brown to dark brown/black was observed immediately after reducing ferric chloride (FeCl3) solution (1 mM) to FeNPs by mixing with plant extract (300 mL). The synthesized FeNPs were characterized using UV-Visible spectroscopy and FTIR. Ferrous nanoparticles (FeNPs) were successfully synthesized using aqueous leaf extracts of Psidium guajava as both reducing and stabilizing agents. A rapid color change from pale yellow/brown to dark brown/black indicated the reduction of FeCl₃ (1 mM) upon mixing with 300 mL of plant extract. UV-Visible spectroscopy confirmed nanoparticle formation via a surface plasmon resonance (SPR) peak at 360 nm, indicating Fe³⁺ reduction to Fe²⁺. FTIR analysis revealed key functional groups involved in nanoparticle stabilization and synthesis: C-O stretching (1154–1034 cm⁻¹; alcohols/ethers), alkane C-H (2923 cm⁻¹), alkene C=C (1648 cm⁻¹; flavonoids), and O-H stretching (3417 cm⁻¹; polyphenols/carboxylic acids). These phytochemicals primarily polyphenols, terpenoids, and flavonoids facilitated eco-friendly nanoparticle synthesis, offering a sustainable and nontoxic alternative for environmental and biomedical applications.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-07
DOI
https://doi.org/10.5281/zenodo.17289842
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green synthesis and characterization of ferrous nanoparticles using Psidium guajava (Linn.) leaf extract

Zenodo (CERN European Organization for Nuclear Research)
Inflammatory Biomarkers in Disease Prognosis
article

Green synthesis and characterization of ferrous nanoparticles using Psidium guajava (Linn.) leaf extract

article en

Abstract

Ferrous nanoparticles were produced using the aqueous leaf extracts of Psidium guajava as a dual reducing and stabilizing agent. A color shift from pale yellow/brown to dark brown/black was observed immediately after reducing ferric chloride (FeCl3) solution (1 mM) to FeNPs by mixing with plant extract (300 mL). The synthesized FeNPs were characterized using UV-Visible spectroscopy and FTIR. Ferrous nanoparticles (FeNPs) were successfully synthesized using aqueous leaf extracts of Psidium guajava as both reducing and stabilizing agents. A rapid color change from pale yellow/brown to dark brown/black indicated the reduction of FeCl₃ (1 mM) upon mixing with 300 mL of plant extract. UV-Visible spectroscopy confirmed nanoparticle formation via a surface plasmon resonance (SPR) peak at 360 nm, indicating Fe³⁺ reduction to Fe²⁺. FTIR analysis revealed key functional groups involved in nanoparticle stabilization and synthesis: C-O stretching (1154–1034 cm⁻¹; alcohols/ethers), alkane C-H (2923 cm⁻¹), alkene C=C (1648 cm⁻¹; flavonoids), and O-H stretching (3417 cm⁻¹; polyphenols/carboxylic acids). These phytochemicals primarily polyphenols, terpenoids, and flavonoids facilitated eco-friendly nanoparticle synthesis, offering a sustainable and nontoxic alternative for environmental and biomedical applications.

Zenodo (CERN European Organization for Nuclear Research)
Federal University Wukari
Responsible consumption and production
Openalex Percentile: Top 37%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.