Green Synthesis of Copper Oxide Nanoparticles Using Solanum tuberosum Extract to Mediate Photocatalytic Degradation of Methylene Blue
摘要
Green route of nanoparticle synthesis has gained momentum in the scientific community owing to local availability and abundance of plant sources. Moreover, with specific regard to environmental concerns, the additional features exhibited by green synthesis are non-toxicity, eco-friendly processing, less byproduct generation, etc. making them the most preferred and economical alternative. Herein, we reported the green synthesis of copper oxide nanoparticles (CuONPs) from Solanum tuberosum (potato) extracts to assist the photodegradation of methylene blue dye. SPR peaks indicated the formation of the nanoparticle at 273 nm (highest peak intensity) with 25-mM precursor salt and 10 mL of reducing agent in a volumetric ratio of 5:1. The pH of the reaction mixture was optimized at 11, whereas the incubation temperature was 60 ℃, and reaction time was maintained for 60 min. The characterization of the nanoparticle was done by FT-IR, SEM, TEM, and XRD. TEM and SEM indicate spherical particle formation with an average size range of 20–33 nm. The synthesized and characterized metal nanoparticle was tested for photocatalytic decomposition of methylene blue (MB) dye in the presence of stimulated light (100 W). The degradation data displayed visual alteration in reaction mixture color from blue to lightest blue or colorless. The resultant change in the color was spectrophotometrically quantized by recording the absorbance of the reaction mixture against the untreated methylene blue at 668 nm. The homogenous dispersion of CuONPs generates electron–hole pairs which enhances the charge transfer thus facilitating successful dye degradation with an efficiency of 76.1% after 1-h incubation. However, after 9 h of incubation, a degradation of 95.6% was recorded. Results from the data suggest its potential application in nanoparticle-based remediation of toxic pollutants from environmental samples.
Graphical Abstract