109
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Removal of Basic Violet from Wool Dyeing Effluent Using Nanoparticles

, , &
Pages 2596-2606 | Published online: 17 Sep 2020
 

ABSTRACT

In the reported study, nano silica and nano clay were used to remove the residual color from effluent generated during the dyeing of wool fabric with basic violet. Various concentrations (0.1%, 0.25%, 0.5%, and 1.0%) of the nanoparticles were treated with dye effluent for different durations and the results are compared with the color removal of commercial activated carbon. The nanoparticles were characterized for their physical properties including particle size, FTIR, and TEM. Freundlich isotherm was used for the dye adsorption studies. The FTIR and TEM analysis depicted the characteristic peaks and crystal geometry for the selected nanoparticles. The treated effluent showed a significant reduction in color, biological, and chemical oxygen demand (more than 99%). The treatment was optimized for 1.0% adsorbent concentration for 60 minutes. The color removal efficiency of nano silica was found to be higher at low concentration; however, the efficiency of nano clay exceeded at a higher concentration of adsorbents.

摘要

采用纳米二氧化硅和纳米粘土对羊毛织物碱性紫染色废水进行脱色处理. 分别用不同浓度的0.5和0.5%的活性炭对不同浓度的废水进行处理(0.5%和0.5%)进行处理. 对纳米粒子的物理性质进行了表征,包括粒径、FTIR和TEM. 用Freundlich等温线研究染料的吸附. FTIR和TEM分析描述了所选纳米粒子的特征峰和晶体几何结构. 处理后的废水在色度、生物和化学需氧量方面有显著降低(超过99%). 在1.0%吸附剂浓度下处理60分钟. 纳米二氧化硅的除色效率在低浓度时较高,而在较高的吸附剂浓度下,纳米粘土的除色效率高于吸附剂浓度.

Additional information

Funding

This work was supported by the ICAR – Central Sheep and Wool Research Institute, Avikanagar, Rajasthan, India.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.