News ID: 3754464 -

Enzymes assist scientists in dye wastewater treatment

TEHRAN, Aug. 28 (MNA) – Iranian researchers applied enzymes stabilized on nanoparticles to purify and remove dye from wastewater.

Iranian researchers from Amirkabir University of Technology in Tehran in association with researchers from Farrokh Sepehr Textile Co. in Kashan applied enzymes stabilized on nanoparticles to purify and remove dye from wastewaters containing textile pigments.

According to Iran Nanotechnology Initiative Council (INIC), results of the research can be used in textile industry to prevent the leakage of toxic materials into the environment.

Management of industrial wastewater, including dying and printing wastewater is one of the greatest challenges for companies active in the field of textile in Iran due to the position of textile industry and its variety, including fiber production process, fabric production, etc. Materials used in this industry are not biocompatible, and that is where this problem appears. Therefore, it is a priority for the researchers to remove dye compounds from the wastewater.

According to the researchers, the aim of this study was to remove pigments from dye wastewater containing anionic and cationic pigments by using laccase enzyme in forms of free and stabilized on nanoparticles. The enzyme can be used in successive dye removal processes if it is stabilized on titania and zinc ferrite nanoparticles. The reason is the simple separation of laccase enzyme stabilized on ferrite in the presence of magnetic field, which significantly decreases the cost in purification of industrial wastewater.

Laccase enzyme has been used in this research in two forms of free and stabilized on titania and zinc ferrite nanoparticles to remove pigments from textile wastewater. To this end, stabilized laccase enzyme was firstly synthesized and then the effects of various parameters such as temperature, time, enzyme concentration and pH value were studied on dye removal reaction and on the kinetics of the reaction based on the Michaelis–Menten model.