ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle
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 and 8 dm(3)min(-1)) and gas composition (Ar, Ar/O-2) were optimized to achieve the best performance of the plasma treatment. An 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 those of the other two dyes, which could be explained by the complexity of its molecular structure. It was concluded that the oxidation was very dependent on all three mentioned parameters. The ANN predicted the treatment time as the crucial factor for decolourisation performance of RO 16 and DR 28, while the Ar flow rate was the most relevant for RB ...19 decolourisation. The obtained results suggest that the plasma needle is a promising tool for the oxidation of organic pollutants and that an ANN could be used for optimization of the treatment parameters to achieve high removal rates.
Keywords:
textile dyes / oxidation / plasma dischargeSource:
Journal of the Serbian Chemical Society, 2020, 85, 6, 831-844Publisher:
- Srpsko hemijsko društvo, Beograd
Funding / projects:
- Innovation Fund of the Republic of Serbia [CGS50083]
- Studies of enzyme interactions with toxic and pharmacologically active molecules (RS-172023)
- Studying climate change and its influence on environment: impacts, adaptation and mitigation (RS-43007)
DOI: 10.2298/JSC191004002M
ISSN: 0352-5139
WoS: 000548146900011
Scopus: 2-s2.0-85090444595
Institution/Community
Tehnološko-metalurški fakultetTY - JOUR AU - Mitrović, Tatjana AU - Ristić, Mirjana AU - Perić-Grujić, Aleksandra AU - Lazović, Saša PY - 2020 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4513 AB - 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 and 8 dm(3)min(-1)) and gas composition (Ar, Ar/O-2) were optimized to achieve the best performance of the plasma treatment. An 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 those of the other two dyes, which could be explained by the complexity of its molecular structure. It was concluded that the oxidation was very dependent on all three mentioned parameters. The ANN predicted the treatment time as the crucial factor for decolourisation performance of RO 16 and DR 28, while the Ar flow rate was the most relevant for RB 19 decolourisation. The obtained results suggest that the plasma needle is a promising tool for the oxidation of organic pollutants and that an ANN could be used for optimization of the treatment parameters to achieve high removal rates. PB - Srpsko hemijsko društvo, Beograd T2 - Journal of the Serbian Chemical Society T1 - ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle EP - 844 IS - 6 SP - 831 VL - 85 DO - 10.2298/JSC191004002M ER -
@article{ author = "Mitrović, Tatjana and Ristić, Mirjana and Perić-Grujić, Aleksandra and Lazović, Saša", year = "2020", 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 and 8 dm(3)min(-1)) and gas composition (Ar, Ar/O-2) were optimized to achieve the best performance of the plasma treatment. An 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 those of the other two dyes, which could be explained by the complexity of its molecular structure. It was concluded that the oxidation was very dependent on all three mentioned parameters. The ANN predicted the treatment time as the crucial factor for decolourisation performance of RO 16 and DR 28, while the Ar flow rate was the most relevant for RB 19 decolourisation. The obtained results suggest that the plasma needle is a promising tool for the oxidation of organic pollutants and that an ANN could be used for optimization of the treatment parameters to achieve high removal rates.", publisher = "Srpsko hemijsko društvo, Beograd", journal = "Journal of the Serbian Chemical Society", title = "ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle", pages = "844-831", number = "6", volume = "85", doi = "10.2298/JSC191004002M" }
Mitrović, T., Ristić, M., Perić-Grujić, A.,& Lazović, S.. (2020). ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle. in Journal of the Serbian Chemical Society Srpsko hemijsko društvo, Beograd., 85(6), 831-844. https://doi.org/10.2298/JSC191004002M
Mitrović T, Ristić M, Perić-Grujić A, Lazović S. ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle. in Journal of the Serbian Chemical Society. 2020;85(6):831-844. doi:10.2298/JSC191004002M .
Mitrović, Tatjana, Ristić, Mirjana, Perić-Grujić, Aleksandra, Lazović, Saša, "ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle" in Journal of the Serbian Chemical Society, 85, no. 6 (2020):831-844, https://doi.org/10.2298/JSC191004002M . .