Abstract
In this work, photocatalytic degradation of organic dyes such as methylene blue (MB) and indigo carmine (IC) have been studied by composite nanofibers systems containing cellulose acetate (CA), multiwall carbon nanotubes (CNT) and TiO2 nanoparticles under UV light. The amino factionalized TiO2–NH2 NPs cross-linked to the CA/CNT composite nanofibers works as a semiconductor catalyst. The morphology and crystallinity were characterized by scanning electron microscopy, transmission electron microscopy (TEM), X-ray diffraction, and Fourier transform infrared spectroscopy. It was also seen that many factors affected the photodegradation rate, mainly the pH of the solution and the dye concentration, temperature, etc. The study demonstrated that IC degrades at a higher rate than MB. The maximum photodegradation rate of both organic dyes was achieved at a pH 2. In comparison to other studies, this work achieved high photodegradation rate in lower time and using less power intensity.
Highlights
Water pollution is a considerable threat to human health
The conversion is confirmed by absorption in the range of 3300–3500 cm−1 which corresponds to N–H and O–H vibrations, and the bending vibrations of the amine group NH or NH2 at 1600 cm−1
The amino factionalized TiO2–NH2 NPs cross-linked to the cellulose acetate (CA)/carbon nanotubes (CNT) composite nanofibers was successfully prepared
Summary
Water pollution is a considerable threat to human health. Water is the most vital resource for people and for ecosystems. Industrialization and urbanization led the water quality to deteriorate, negatively impacting humans and all other living organisms. The low quality of the water is a major problem in agriculture and food production. Other sectors, such as the economy, are greatly impacted as well. The most common water pollutants are organic dyes and pigments, which are present in many industrial effluents such as textile, lather, paper, cosmetics, and printing (Zheng et al 2008). Many techniques can be employed to eliminate those pollutants from the wastewater. Those techniques mainly involve chemical, physical or biological processes (Mohamed et al 2016).
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