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Effective removal of organic pollution by using sonochemical prepared LaFeO3 perovskite under visible light
•LaFeO3 nanostructures by new sonochimical method.•Ultrasonic power and time have significant effect on photocatalytic activity.•LaFeO3 nanostructures prepared by using corn, starch, and rice show higher photocatalytic and antibacterial activity.•Using corn increased degradation efficiency by 65% un...
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Published in: | Ultrasonics sonochemistry 2020-03, Vol.61, p.104848-104848, Article 104848 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •LaFeO3 nanostructures by new sonochimical method.•Ultrasonic power and time have significant effect on photocatalytic activity.•LaFeO3 nanostructures prepared by using corn, starch, and rice show higher photocatalytic and antibacterial activity.•Using corn increased degradation efficiency by 65% under visible light.•Fe2O3 as an impurity significantly boosts the degradation efficiency under UV light.
In the present work, LaFeO3 perovskite was prepared via ultrasonic probe with power of 60 W and frequency of 18 KHz. LaFeO3 nanorods were formed when sonication time was 20 min. In this research, green materials including corn, starch, and rice were used to control the size, morphology, and purity of final products. As-prepared LaFeO3 nanostructures were used to purify water containing organic contaminants. LaFeO3 nanostructures prepared by using corn, starch, and rice showed higher photocatalytic activity compare to LaFeO3 nanostructures without natural capping agents. Using corn increased degradation efficiency by 65% under visible light. XRD results show that Fe2O3 appeared as an impurity when starch was used to prepare LaFeO3 nanostructures. This impurity significantly boosts the degradation efficiency under UV light. Fe2O3 under UV light act as co-absorbent and boost efficiency by 43%. LaFeO3 nanostructures were characterized by XRD, EDX, SEM, CV, BET, TEM, DRS and FT-IR. |
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ISSN: | 1350-4177 1873-2828 |
DOI: | 10.1016/j.ultsonch.2019.104848 |