Application of ultrasound-assisted and subcritical water oxidation methods in the mineralisation of Procion Crimson H-EXL using response surface methodology and artificial neural network

Abstract

Eco-friendly methods, the ultrasound-assisted oxidation (UAO) and the subcritical water oxidation (SWO) methods, were applied to mineralise the widely used commercial reactive azo dye, Procion Crimson H-EXL in the presence of H₂O₂. 72.20% and 72.86% of total organic carbon removal were achieved in the UAO and SWO methods, respectively. The Box-Behnken design (BBD) was applied to design the experimental processes and optimise both methods. ANOVA and validation tests were performed to assess the employed models. F and P values were obtained as 36.72 and <0.0001 in the UAO method, respectively, and 605.97 and <0.0001 in the SWO method, respectively. The artificial neural network (ANN) was applied in both the UAO and the SWO methods. The predictive performance of the BBD and ANN models were evaluated and compared to each other over R², root mean square error and absolute average deviation values.

Graphical Abstract

Keywords:

• ultrasound
• subcritical water
• mineralisation
• RSM
• ANN
• Procion Crimson
• oxidation

Additional information

Funding

This academic work was linguistically supported by the Mersin Technology Transfer Office Academic Writing Center of Mersin University and funded by Mersin University Research Fund (Project No. 2016-2-TP2-1803).