ANN prediction of decolourisation efficiency of organic dyes in wastewater by plasma needle

Tatjana Đ. Mitrović, Mirjana Đ. Ristić, Aleksandra Perić-Grujić, Saša Lazović

Abstract


In this paper, the results of decolourisation of Reactive Orange 16 (RO 16), Reactive Blue 19 (RB 19) and Direct Red 28 (DR 28) textile dyes in aqueous solution by plasma needle are presented. Treatment time, feed gas flow rate (1, 4, 8 dm3/min) and gas composition (Ar, Ar/O2) were optimized to achieve the best performance of the plasma treatment. Artificial Neural Network (ANN) was used for the prediction of parameters relevant for the decolourisation outcome. It was found that more than 95 % decolourisation could be achieved for all three dyes after plasma treatment, although the decolourisation of DR 28 was much slower than the other two dyes, and this could be explained by the complexity of its molecular structure. It was con­cluded that oxidation was very depended on all three mentioned para­meters. ANN predicted the treatment time as the crucial factor for deco­louri­sation performance of RO 16 and DR 28, while Ar flow rate was the most relevant for RB 19 decolourisation. The obtained results suggest that the plasma needle is a promising tool for oxidation of organic pollutants and that ANN can be used for optimization of treatment parameters to achieve high removal rates.


Keywords


textile dyes, oxidation, plasma discharge

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DOI: https://doi.org/10.2298/JSC191004002M

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