Aniline is used by many industrial organizations and is released into the environment in high amounts and pollutes the water. Due to the damages to human health, there is a need for effective and environmentally friendly methods to remove this compound from the water. The aim of this work is to mineralize and remove aniline by investigating total organic carbon removal and aniline removal, respectively, via using the eco-friendly method, subcritical water oxidation and green oxidizing agent, H 2 O 2. The effect of process variables such as temperature, treatment time and H 2 O 2 concentration were evaluated. Total organic carbon removal of aniline was obtained as 92.73% in 80 min of treatment time and in the presence of 60 mM of H 2 O 2 at 403 K. 99.21% of aniline removal was achieved based on the UV spectrophotometric analysis at these conditions. The response surface method was used to optimize the performed model and the effect of the above-mentioned parameters. The reliability of the method was provided by ANOVA.
Titanium dioxide (TiO2) manufacturing industries measure optical properties such as brightness, colour, tint strength, tint tone, gloss, scatter coefficient, and others to ensure the quality of the product. Product characterization and process control generally focus on the optical properties, which determine its quality. In this work, titania rutile pigment with varying tint strength and tint tone is analyzed and a correlation is established between particle size and the optical properties such as tint strength and tint tone. It is observed that optical properties of titania pigment depends on the particle size as well as particle size distribution. A relatively faster evaluation of tint strength and tint tone can be made using the reflectance and particle size measurements. Analytical samples were prepared by ultrasonic dispersion of pigment in water containing calgon as dispersing agent. To verify the accuracy of the method, pigment tint strength and tint tone obtained from this study are compared with those resulting from traditional analysis. The results showed that the new method is viable.
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