journal article·2025-06-30Open access

Investigation of antibiosis, anti-diabetic, antioxidant, anti-inflammatory, molecular docking and dye degradation potential of green synthesized copper ferrite (CuFe2O4) nanoparticles using mushroom Pleurotus florida

Beena Cherian, Tijo Cherian, Teena Merlin, Shilpa Jose

Discover Nano· Volume 20· Issue 1

Abstract

Abstract The current study proposes a low-cost, environmentally benign manufacturing approach of copper ferrite nanoparticles (CuFe2O4 NPs) via mushroom extract of Pleurotus florida (PFE) as the first-time report. Several characterization methods verified the production of PFE-CuFe2O4 NPs. The absorption spectrum exhibited the peak at 420 nm; band gap of 1.85 eV. The studies of SEM and TEM confirmed spherical and homogeneously distributed CuFe2O4 NPs with an average size of 22.4 ± 1.4 nm. The FTIR reported the presence of bio-essential molecules in PFE can act as a stabilizing and capping agent. The NPs were found to be fairly stable with zeta potential found at 28.9 ± 0.2 mV. Numerous in vitro biological investigations exemplified the applicability and practicality of CuFe2O4 NPs and compare them with the standard. The biofunctionalized CuFe2O4 NPs demonstrated a potent antibacterial activity against E. coli and S. aureus. Additionally, it was discovered that CuFe2O4 NPs have superior antioxidant activity (77–83%) and their scavenging ability is more comparable to ascorbic acid (control). Furthermore, a degradation efficiency of 91–92% was observed in 10–15 min for CuFe2O4 NPs in rhodamine B (RhB) and methylene blue (MB) dyes, indicating their remarkable effectiveness in this regard. Future research may focus on applying CuFe2O4 NPs to comprehensive wastewater treatment and determining the degradation products and ecological consequences.
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Research context

OpenAlex topics: Nanoparticles: synthesis and applications · Laser-Ablation Synthesis of Nanoparticles · Nanomaterials for catalytic reactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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