Evaluation of structural, optical properties and photocatalytic activity of Ag2O coated ZnO nanoparticles
The presence of composite in the nanofluid resultant is essential to provide a significant methylene blue (MB) removal property in industrial waste water. Silver oxide (Ag 2 O) nanoparticles (NPs) placed over zinc oxide (ZnO) NPs had a significant increase in photocatalytic activity. The Ag 2 O NPs...
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Published in | Journal of materials science. Materials in electronics Vol. 33; no. 29; pp. 23224 - 23235 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.10.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The presence of composite in the nanofluid resultant is essential to provide a significant methylene blue (MB) removal property in industrial waste water. Silver oxide (Ag
2
O) nanoparticles (NPs) placed over zinc oxide (ZnO) NPs had a significant increase in photocatalytic activity. The Ag
2
O NPs doped ZnO NPs were synthesised in the current study by utilising
Millingtonia hortensis
flower extract and a simple green synthesis procedure. The floral extract is a fantastic reducing and stabilizing agent. ZnO has been doped along with Ag
2
O Nanofluid (NF) (volumes of ZnO 10 ml, 15 ml, 20 ml, and 25 ml). The crystalline nature of the produced material was investigated using powder XRD analysis. To confirm the presence of silver in nanofluids, the EDAX spectrum and UV–Vis spectral analysis were employed. The EDAX spectrum established the materials’ compositions, while the FESEM analysis revealed the various surface morphologies of the generated materials. ZnO/Ag
2
O (NPs) catalysts degraded the organic dye MB. ZnO/Ag
2
O NPs (25 ml Ag
2
O NF) degrade at a rate of 63 percent after 120 min of irradiation, due to their large surface area. The typical particle size of synthesised nanoparticles is 16–17 nm. The photocatalytic activities are enhanced when particles from the flower are extracted, according to the characterization data. |
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ISSN: | 0957-4522 1573-482X |
DOI: | 10.1007/s10854-022-09086-9 |