Pretreatment of Food Industry Wastewater by Coagulation: Process Modeling and Optimization

Yıl 2019, Cilt: 15 Sayı: 3, 307 - 316, 30.09.2019

Senem Yazıcı Güvenç , Emine Can Güven

https://doi.org/10.18466/cbayarfbe.581611

Cited By: 2

Öz

In this study, coagulation processes using FeCl₃6H₂O
and Al₂(SO₄)₃18H₂O as coagulants
were employed and designed for chemical oxygen demand (COD) and total suspended
solids (TSS) removal from food industry wastewater via response surface
methodology (RSM). RSM was used for the optimization of coagulation processes
and evaluation of the effects and interactions between process variables (pH,
coagulant dosage and reaction time). ANOVA was used to analyze the experimental
data obtained in the study and secondary regression models were developed by
using Statgraphics Centurion XVI.I software. The optimum conditions were pH 9,
dosage 1500 mg/L and time 25 min for maximum COD removal efficiency for FeCl₃6H₂O
and pH 9, dosage 1493 mg/L and time 25 min for Al₂(SO₄)₃18H₂O.
Under optimum conditions, COD and TSS removal efficiencies were 46.4% and 96.7%
for FeCl₃6H₂O and 31.2% and 96.2% for Al₂(SO₄)₃18H₂O,
respectively. ANOVA results showed that the responses of model have high
coefficient values (R² > 0.80), and hence the second order
regression model can be explained with these experimental data. The proposed
model fits very well with the experimental data with R² of 0.9677
for COD and 0.9543 for TSS removal for FeCl₃6H₂O and
0.9456 for COD and 0.9260 for TSS removal for Al₂(SO₄)₃18H₂O,
respectively. Model results showed that the RSM for coagulation processes using
both coagulants is a powerful tool for optimizing the experimental conditions.
Moreover, it can be concluded that both coagulation processes may be an
effective alternative pre-treatment process for food industry wastewater.

Anahtar Kelimeler

Al2(SO4)318H2O, Coagulation, FeCl36H2O, Optimization, RSM

Kaynakça

• 1. Amuda, OS, Amoo, IA, Ajayi, OO. 2006. Performance optimization of coagulant/flocculant in the treatment of wastewater from a beverage industry. Journal of Hazardous Materials; 129(1–3): 69–72.
• 2. Amokrane, A, Comel, C, Veron, J. 1997. Landfill leachates pretreatment by coagulation-flocculation. Water Research; 31(11): 2775–2782.
• 3. Amuda, OS, Amoo, IA. 2007. Coagulation/flocculation process and sludge conditioning in beverage industrial wastewater treatment. Journal of Hazardous Materials; 141(3): 778–83.
• 4. Gao, B, Yue, Q. 2005. Effect of SO42-/Al3+ ratio and OH-/Al3+ value on the characterization of coagulant poly-aluminum-chloride-sulfate (PACS) and its coagulation performance in water treatment. Chemosphere; 61(4): 579–584.
• 5. Song, Z, Williams, CJ, Edyvean, R. 2004. Treatment of tannery wastewater by chemical coagulation. Desalination; 164249–259. 6. Randtke, SJ. 1988. Organic contaminant removal by coagulation and related process combinations. Journal-American Water Works Association; 80(5): 40–56.
• 7. Pavón-Silva, T, Pacheco-Salazar, V, Carlos Sánchez-Meza, J, Roa-Morales, G, Colín-Cruz, A. 2009. Physicochemical and biological combined treatment applied to a food industry wastewater for reuse. Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering; 44(1): 108–115.
• 8. Varank, G, Yazici Guvenc, S, Demir, A. 2018. A comparative study of electrocoagulation and electro-Fenton for food industry wastewater treatment: Multiple response optimization and cost analysis. Separation Science and Technology (Philadelphia); 53(17): 2727–2740.
• 9. Beltran de Heredia, J, Dominguez, JR, Lopez, R. 2004. Treatment of cork process wastewater by a successive chemical- physical method. Journal of Agricultural and Food Chemistry; 52(14): 4501–4507.
• 10. Minhalma, M, De Pinho, MN. 2001. Flocculation/flotation/ultrafiltration integrated process for the treatment of cork processing wastewaters. Environmental Science & Technology; 35(24): 4916–4921.
• 11. Can, OT, Gengec, E, Kobya, M. 2019. TOC and COD removal from instant coffee and coffee products production wastewater by chemical coagulation assisted electrooxidation. Journal of Water Process Engineering; 28: 28–35.
• 12. Ozbey-Unal, B, Balcik-Canbolat, C, Dizge, N, Keskinler, B. 2018. Treatability studies on optimizing coagulant type and dosage in combined coagulation/membrane processes for table olive processing wastewater. Journal of Water Process Engineering; 26: 301–307.
• 13. Weng, SC, Jacangelo, JG, Schwab, KJ. 2019. Sustainable practice for the food industry: assessment of selected treatment options for reclamation of washwater from vegetable processing. International Journal of Environmental Science and Technology; 16(3): 1369–1378.
• 14. Li, H, Zhou, S, Sun, Y, Lv, J. 2010. Application of response surface methodology to the advanced treatment of biologically stabilized landfill leachate using Fenton’s reagent. Waste Management; 30(11): 2122–2129.
• 15. Herney-Ramirez, J, Lampinen, M, Vicente, MA, Costa, CA, Madeira, LM. 2008. Experimental design to optimize the oxidation of Orange II dye solution using a clay-based Fenton-like catalyst. Industrial & Engineering Chemistry Research; 47(2): 284–294.
• 16. Mohajeri, L, Aziz, HA, Isa, MH, Zahed, MA. 2010. A statistical experiment design approach for optimizing biodegradation of weathered crude oil in coastal sediments. Bioresource Technology; 101(3): 893–900.
• 17. APHA. 2005. Standard Methods for Examination of Water and Wastewater. 21th ed. American Public Health Association.
• 18. Dutta, S, Bhattacharyya, A, Ganguly, A, Gupta, S, Basu, S. 2011. Application of response surface methodology for preparation of low-cost adsorbent from citrus fruit peel and for removal of methylene blue. Desalination; 275(1–3): 26–36.
• 19. Sridhar, R, Sivakumar, V, Thirugnanasambandham, K. 2016. Response surface modeling and optimization of upflow anaerobic sludge blanket reactor process parameters for the treatment of bagasse based pulp and paper industry wastewater. Desalination and Water Treatment; 57(10): 4345–4356.
• 20. Kim, S-C. 2016. Application of response surface method as an experimental design to optimize coagulation-flocculation process for pre-treating paper wastewater. Journal of Industrial and Engineering Chemistry; 3893–102.