Abstract
Green synthesis–based metal oxide nanoparticle fabrication is an intriguing topic. The synthesis of MgO nanoparticles (S1, S2, S3) was achieved using the extracts of Madhuca longifolia flowers. Subsequent research revealed that the physical morphology of the nanoparticles was improved as the concentration of the reducing agent (E1, E2, E3) increased. The nanoparticles were then employed for the removal of nigrosine dye (a common water contaminant) through adsorption and photocatalysis. The dye removal process was optimized using the TAGUCHI L25 array from MINITAB software. Among the morphologically improved samples, S3 exhibited the most notable performance in terms of % dye clearance, with a remarkable rate of 99%. S3 was then employed in the investigation of adsorption kinetics and isotherms. The obtained results indicate that the model exhibits a strong match to both the pseudo-second-order model and the Langmuir model, as evidenced by the high R2 value of 0.99 in both cases. Consequently, the Langmuir model can be considered the most suitable choice. This study demonstrates that environmentally sustainable techniques have the capacity to modify the morphology of nanoparticles. Furthermore, the enhancements in morphology have demonstrated significant effectiveness in their intended application. The utilization of MgO nanoparticles in wastewater treatment is supported by their non-toxic nature, sustainable characteristics, and the implementation of straightforward, cost-effective, and efficient manufacturing techniques.
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Abbreviations
- MgO:
-
Magnesium oxide
- M. longifolia :
-
Madhuca longifolia
- UV:
-
Ultraviolet
- XRD:
-
X-ray diffraction analysis
- FTIR:
-
Fourier transform infrared spectroscopy
- FESEM:
-
Field emission scanning electron microscopy
- E:
-
Extract
- S:
-
Sample
- %:
-
Percent
- SPR:
-
Surface plasmon resonance
- nm:
-
Nanometer
- DOE:
-
Design of experiments
- R 2 :
-
Regression coefficients
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PIK studied and worked over the general mechanism and synthesis processes of MgO nanoparticles involving green synthesis and performed the analytical tests for the samples. SM studied whether the concentration variation affects the morphology of the finished product and optimized the study using Taguchi analysis. Dr. SMK studied and worked over different methodologies and conceptualization of the entire topic. Dr. KB investigated the requisite analytical techniques for confirming successful outcomes.
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Kurhade, P.I., Mittal, S., Kodape, S.M. et al. Optimization of photocatalytic removal of nigrosine dye using green synthesized MgO nanoparticles. Biomass Conv. Bioref. (2024). https://doi.org/10.1007/s13399-024-05313-x
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DOI: https://doi.org/10.1007/s13399-024-05313-x