Optimizing a quad-oxidant hybrid process based on hydrodynamic cavitation and UV radiation for Allura red degradation
This research investigated Allura Red (AR) degradation using a quad-oxidant hybrid process with hydrodynamic cavitation (HC) promoted by ultraviolet radiation (UV) in combination with sodium peroxydisulfate (PS) and hydrogen peroxide (H 2 O 2 ) as chemical agents. The experiments were carried out for 4 L synthetic AR-polluted wastewater containing 25 ppm AR. Optimization was performed using a Box-Behnken design (BBD) with H 2 O 2 (0–70 ppm), PS (0–200 ppm), and UV radiation (0–32 W). Response surface methodology (RSM) analysis revealed optimal conditions for the HC/H 2 O 2 /PS/UV process as 41.3 ppm H 2 O 2 , 197 ppm PS, and 31.7 W UV power. Under these conditions, 99.23 % decolorization efficiency with a kinetic rate constant (k) of 80.53 × 10 −3 min −1 and yield efficiency of 9.90 × 10 −3 mg kJ −1 was achieved. The optimum configuration also resulted in remarkable 74.33 % reduction of Chemical Oxygen Demand (COD) within 120 min. Techno-economic analysis, based on the efficiency-cost ratio (ECR) was conducted on all processes revealed that the ECR of the optimized HC/H 2 O 2 /PS/UV process was attained at 398.40. To clarify the role of reactive species, the influence of radical scavengers was investigated under the optimized conditions. Decolorization efficiency was reduced to 74.53 % and 53.10 % with the addition of tert-butanol and ethanol, respectively, with corresponding rate constants of 22.8 × 10 −3 min −1 and 12.62 × 10 −3 min −1 . • The combined process demonstrated a significant enhancement in Allura Red decolorization. • The experiments were designed using a Box-Behnken design. • The optimized process achieved a 99.23 % removal efficiency for the pollutant. • Economic evaluation based on the efficiency-to-cost ratio parameter revealed the efficacy of the process.
Authors
- Soroush Baradaran (ORCID: https://orcid.org/0000-0002-5887-8276)
- Mehran Shahryari
- Omid Vahidi
Institutions
- Iran University of Science and Technology (IR)
Publication Details
- Journal
- Water Resources and Industry
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1016/j.wri.2025.100287
- Citations
- 2
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.99