Abstract

In the present study, the titania based adsorbent (Adsorbsia As500) was used for removal of three textile dyes such as C.I. Acid Red 18, C.I. Reactive Blue 21 and C.I. Direct Yellow 50 from aqueous solutions. The dye sorption was investigated by the batch and column methods. The experimental data were analyzed by the Langmuir, Freundlich and Temkin models of adsorption. Adsorbsia As500 exhibited the highest affinity towards DY50 as the monolayer sorption capacity were equal to 109.71 mg/g. The kinetic data obtained at different dyes concentrations were fitted to the pseudo-first order, pseudo-second order and Elovich equations. The dyes desorption experiments were investigated, too.

Highlights

  • The intensive development of civilization and the rapidly growing needs of society mean that the twenty-first century industry is developing rapidly in many fields

  • The paper discusses the adsorption of textile dyes such as AR18, DY50 and RB21 on the granular titanium dioxide (Adsorbsia As500)

  • Kinetic studies proved that the time needed to achieve the state of equilibrium was the longest in the system containing DY50 and was found to be more than 240 min while for AR18 and RB21 it was 180 min and 200 min, respectively

Read more

Summary

Introduction

The intensive development of civilization and the rapidly growing needs of society mean that the twenty-first century industry is developing rapidly in many fields. In the textile industry, which is the largest recipient of dyes, there are formed very large amounts of highly coloured wastewaters of different chemical compositions depending on many factors, such as dyeing methods, type of coloured raw material (type of fabric), as well as type and amount of dyes. These wastewaters can contain dyes and auxiliaries (salts, acids, alkalis, surfactants) and other specific impurities (fats, waxes, bleaches, dextrins) which are a heavy burden for them (Majewska-Nowak 1986; Anielak 2000; Solecka et al 2005). Technologies that combine physical, chemical and biological methods are considered the most effective, and their choice depends on many factors

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.