Suppr超能文献

使用钒酸铁纳米复合材料增强废水中染料的光降解;超声辅助制备与表征。

Enhanced photodegradation of dye in waste water using iron vanadate nanocomposite; ultrasound-assisted preparation and characterization.

作者信息

Ghiyasiyan-Arani Maryam, Salavati-Niasari Masoud, Naseh Sara

机构信息

Institute of Nano Science and Nano Technology, University of Kashan, Kashan, P.O. Box 87317-51167, Islamic Republic of Iran.

Institute of Nano Science and Nano Technology, University of Kashan, Kashan, P.O. Box 87317-51167, Islamic Republic of Iran.

出版信息

Ultrason Sonochem. 2017 Nov;39:494-503. doi: 10.1016/j.ultsonch.2017.05.025. Epub 2017 May 17.

Abstract

The paper proposes a new approach to Schiff-base ligand assisted sonochemical synthesis of iron vanadate. In this disquisition, we tried to comparing various factors and reaction condition on morphology, size and uniformity of as-obtained samples. Some parameters including Schiff-base capping agent (Bis(acetylacetone) ethylenediamine=Hacacen), electrolyte (NHF), solvent and reaction time were investigated to reach optimum condition. XRD, FT-IR, EDS, SEM and TEM were used in order to determine purity and structural morphology of as-synthesized products. Also, we explore the possibility of coupling vanadium pantaoxide into iron vanadate that improves optical properties and photocatalytic activity. With this in mind, FeVO/VO nanocomposite was prepared via in-situ ultrasound-assisted procedure by using NHF in one step. Influence of different parameters such as type of dye (Rhodamine B=Rh B, Phenol red=Ph R and Methyl violet=MV) and light source (Ultraviolet and visible) on photocatalytic ability of samples were studied.

摘要

本文提出了一种席夫碱配体辅助声化学合成钒酸铁的新方法。在本研究中,我们试图比较各种因素和反应条件对所得样品的形态、尺寸和均匀性的影响。研究了一些参数,包括席夫碱封端剂(双(乙酰丙酮)乙二胺 = Hacacen)、电解质(NHF)、溶剂和反应时间,以达到最佳条件。使用XRD、FT-IR、EDS、SEM和TEM来确定合成产物的纯度和结构形态。此外,我们探索了将五氧化二钒偶联到钒酸铁中的可能性,这改善了光学性能和光催化活性。考虑到这一点,通过一步使用NHF的原位超声辅助程序制备了FeVO/VO纳米复合材料。研究了不同参数,如染料类型(罗丹明B = Rh B、酚红 = Ph R和甲基紫 = MV)和光源(紫外线和可见光)对样品光催化能力的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验