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Updated: May 5, 2026

Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor
Published on: October 15, 2015
Optimization of leucomalachite green degradation through electron beam and persulfate oxidation using box-behnken
Bao Quoc Tran1, Kun-Yi Andrew Lin2, Faten Boujelbane3
1Ho Chi Minh City University of Natural Resources and Environment, Ho Chi Minh City, 70000, Viet Nam.
Abstract:
This study explored the treatment of Leucomalachite Green (LMG) solutions using an electron beam and sodium persulfate (Na2S2O8), employing Box-Behnken design (BBD) to optimize operational variables such as absorbed dose, initial pH and Na2S2O8 concentration. The findings highlighted an optimal absorbed dose of 4.5 kGy, a Na2S2O8 concentration of 1.0 mM, and an initial pH of 6, leading to a remarkable 97.77% removal of LMG. The adjusted R2 for the model indicated a close match of 1.4% between predicted and actual outcomes under these optimized conditions, affirming the quadratic model's suitability for predicting the LMG removal process using combined EB and Na2S2O8. To assess the environmental impact of the LMG treatment, the study applied SimaPro 9.4 with the TRACI tool, examining ten distinct environmental impact categories. The results unveiled that deionized water and Na2S2O8 exhibited a notable impact on global warming (GW) and ecotoxicity (ET) in controlled laboratory settings. Furthermore, a comparative analysis of four scenarios shed light on the environmental implications of different energy sources. Notably, electricity generated from waste incineration demonstrated a substantial influence on all environmental indicators. In contrast, natural gas emerged as the cleanest source for electricity generation, offering a promising avenue for reducing environmental impacts. This study presents a practical method for addressing dye contaminants through the employment of EB in conjunction with Na2S2O8, with potential implications for broader applications.
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