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An Efficient Biological Treatment on Dairy Wastewater by Lactobacillusplantarum: Mathematical Modeling and Process Parameters Optimization

  • Mahshid Golalikhani and Seyed Hadi Razavi EMAIL logo
Published/Copyright: August 6, 2015

Abstract

The ability of Lactobacillusplantarum for biological treatment of dairy wastewater was investigated using a response surface method. The effects of three culture condition parameters of temperature (24.93–40.07°C), pH (4.3–6.7), and agitation rate (99.5–200.5 rpm) on the removal efficiency of sugar, total protein content (TPC), and chemical oxygen demand (COD) of the wastewater were studied. For each response parameter, a second-order polynomial model versus independent variables (p < 0.0001) was determined and statistically obtained with high coefficient of determination values (R2 > 0.95). Numerical optimization defined the optimum treatment conditions for achieving the highest removal efficiency was temperature of 28°C, pH of 5.03, and agitation rate of 147.51 rpm. Under the optimum condition, the removal efficiency values for sugar, TPC, and COD were predicted to be 72.18%, 54.51%, and 78.99%, respectively.

References

1. Harush D, Hampannavar U, Mallikarjunaswami M. Treatment of dairy wastewater using aerobic biodegradation and coagulation. Int J Environ Sci 2011;2011:23–6.Search in Google Scholar

2. Rashid M, West J. Dairy wastewater treatment with effective microorganisms and duckweed for pollutants and pathogen control. In: Rashid M, editor. Wastewater reuse–risk assessment, decision-making and environmental security. Netherlands: Springer, 2007:93–102.10.1007/978-1-4020-6027-4_10Search in Google Scholar

3. Eckenfelder W. Activated sludge: process design and control. Boca Raton, FL, USA: CRC Press, 1998.10.1201/9780203968567Search in Google Scholar

4. Börgardts P, Krischke W, Trösch W, Brunner H. Integrated bioprocess for the simultaneous production of lactic acid and dairy sewage treatment. Bioprocess Eng 1998;19:321–9.10.1007/s004490050527Search in Google Scholar

5. Fadda S, Vildoza MJ, Vignolo G. The acidogenic metabolism of Lactobacillus plantarum CRL 681 improves sarcoplasmic protein hydrolysis during meat fermentation. J Muscle Foods 2010;21:545–56.10.1111/j.1745-4573.2009.00202.xSearch in Google Scholar

6. Kleerebezem M, Boekhorst J, van Kranenburg R, Molenaar D, Kuipers OP, Leer R, et al. Complete genome sequence of Lactobacillus plantarum WCFS1. Proc Natl Acad Sci U S A 2003;100:1990–5.10.1073/pnas.0337704100Search in Google Scholar PubMed PubMed Central

7. Gharibzahedi SM, Razavi SH, Mousavi SM. High efficiency canthaxanthin production by a novel mutant isolated from Dietzia natronolimnaea HS-1 using central composite design analysis. Ind Crop Prod 2012;40:345–54.10.1016/j.indcrop.2012.03.030Search in Google Scholar

8. Gharibzahedi SMT, Razavi SH, Mousavi SM. Optimal development of a new stable nutraceutical nanoemulsion based on the inclusion complex of 2-hydroxypropyl-β-cyclodextrin with canthaxanthin accumulated by Dietzia natronolimnaea HS-1 using ultrasound-assisted emulsification. J Dispers Sci Technol 2015;36:614–25.10.1080/01932691.2014.921188Search in Google Scholar

9. Kushwaha JP, Srivastava VC, Mall ID. Treatment of dairy wastewater by commercial activated carbon and bagasse fly ash: parametric, kinetic and equilibrium modelling, disposal studies. Bioresour Technol 2010;101:3474–83.10.1016/j.biortech.2010.01.002Search in Google Scholar PubMed

10. Wichern M, Lübken M, Horn H. Optimizing sequencing batch reactor (SBR) reactor operation for treatment of dairy wastewater with aerobic granular sludge. Water Sci Technol 2008;58:1199–206.10.2166/wst.2008.486Search in Google Scholar PubMed

11. Ray B. Fundamental food microbiology. Boca Raton, FL, USA: CRC Press, 2013.10.1201/b16078Search in Google Scholar

12. Montet D, Ratamahenina R, Galzy P, Pina M, Graille A. A study of the influence of the growth media on the fatty acid composition in Candida lipolytica diddens and lodder. Biotechnol Lett 1985;7:733–44.10.1007/BF01032285Search in Google Scholar

13. Aber S, Sheydaei M. Removal of COD from industrial effluent containing indigo dye using adsorption method by activated carbon cloth: optimization, kinetic, and isotherm studies. Clean Soil Air Water 2012;40:87–94.10.1002/clen.201000434Search in Google Scholar

14. Miller GL. Use of dinitrosalicylic acid reagent for determination of reducing sugar. Anal Chem 1959;31:426–8.10.1021/ac60147a030Search in Google Scholar

15. Lowry OH, Rosebrough NJ, Farr AL, Randall RJ. Protein measurement with the folin phenol reagent. J Biol Chem 1951;193:265–75.10.1016/S0021-9258(19)52451-6Search in Google Scholar

16. Gharibzahedi SM, Razavi SH, Mousavi SM. Enzymatically hydrolyzed molasses and sodium citrate as new potentials for the improvement of canthaxanthin batch synthesis by Dietzia natronolimnaea HS-1: A statistical media optimization. Czech J Food Sci 2014;32:326–36.10.17221/472/2013-CJFSSearch in Google Scholar

17. Molenaar D, Bringel F, Schuren FH, Vos WM, Siezen RJ, Exploring KM. Lactobacillus plantarum genome diversity by using microarrays. J Bacteriol 2005;187:6119–27.10.1128/JB.187.17.6119-6127.2005Search in Google Scholar PubMed PubMed Central

18. Mukhtar H. Protease biosynthesis from Lactobacillus species: fermentation parameters and kinetics. J Food Process Preserv 2007;31:102–15.10.1111/j.1745-4549.2007.00111.xSearch in Google Scholar

19. Kamaruddin MA, Yusoff MS, Abdul Aziz H, Basri NK. Removal of COD, ammoniacal nitrogen and colour from stabilized landfill leachate by anaerobic organism. Appl Water Sci 2013;3:359–66.10.1201/b20005-18Search in Google Scholar

20. Hermida C, Corrales G, Canada FJ, Aragon JJ, Mayoralas AF. Optimizing the enzymatic synthesis of β-D-galactopyranosyl-D-xyloses for their use in the evaluation of lactase activity in vivo. J Bioorgan Med Chem 2007;15:4836–40.10.1016/j.bmc.2007.04.067Search in Google Scholar PubMed

21. Skovbjerg H. Immunoelectrophoretic studies on human small-intestinal brush-border proteins. Biochem J 1981;193:887–880.10.1042/bj1930887Search in Google Scholar PubMed PubMed Central

22. Marrec CL. Responses of lactic acid bacteria to osmotic stress. In: Tsakalidou E, Papadimitriou K, editors. Stress responses of lactic acid bacteria. Springer, New York: Dordrecht, Heidelberg, London 2011;67–90.10.1007/978-0-387-92771-8_4Search in Google Scholar

23. Seesuriyachan P, Kuntiya A, Sasaki K, Techapun C. Coagulation as pre-treatment of dairy wastewater by lactic acid bacteria. Process Biochem 2009;44:406–11.10.1016/j.procbio.2008.12.006Search in Google Scholar

24. Bevilacqua A, Sinigaglia M, Corbo M. An acid/alkaline stress and the addition of amino acids induce a prolonged viability of Lactobacillus plantarum loaded into alginate gel. Food Microbiol 2010;142:242–6.10.1016/j.ijfoodmicro.2010.05.030Search in Google Scholar PubMed

25. Rusten B, Eikebrokk B, Thorvaldsen G. Coagulation as pretreatment of food industry wastewater. Water Sci Technol 1990;22:1–8.10.2166/wst.1990.0060Search in Google Scholar

26. Kaewsuk J, Thorasampan W, Thanuttamavong M, Tae-Seo G. Kinetic development and evaluation of membrane sequencing batch reactor (MSBR) with mixed cultures photosynthetic bacteria for dairy wastewater treatment. J Environ Manage 2010;91:1161–8.10.1016/j.jenvman.2010.01.012Search in Google Scholar PubMed

27. O’Sullivan E, Condon S. Intracellular pH is a major factor in the induction of tolerance to acid and other stresses in Lactococcus lactis. Appl Environ Microbiol 1997;63:4210–15.10.1128/aem.63.11.4210-4215.1997Search in Google Scholar PubMed PubMed Central

28. O’Sullivan E, Condon S. Relationship between acid tolerance, cytoplasmic pH, and ATP and H + −ATPase levels in chemostat cultures of Lactococcus lactis. Appl Environ Microbiol 1999;65:2287–93.10.1128/AEM.65.6.2287-2293.1999Search in Google Scholar PubMed PubMed Central

29. Montgomery DC. Design and analysis experiments, 5th edn. New York: Wiley, 2001.Search in Google Scholar

30. Chowdhury S, Saha PD. Biosorption of methylene blue from aqueous solutions by a waste biomaterial: hen feathers. Appl Water Sci 2012;2:209–19.10.1007/s13201-012-0039-0Search in Google Scholar

31. Wang JP, Chen YZ, Wang Y, Yuan SJ, Yu HQ. Optimization of the coagulation-flocculation process for pulp mill wastewater treatment using a combination of uniform design and response surface methodology. Water Res 2011;45:5633–40.10.1016/j.watres.2011.08.023Search in Google Scholar PubMed

32. Benatti CT, Tavares CR, Guedes TA. Optimization of Fenton’s oxidation of chemical laboratory wastewaters using the response surface methodology. J Environ Manag 2006;80:66.10.1016/j.jenvman.2005.08.014Search in Google Scholar PubMed

33. Körbahti BK, Aktaş N, Tanyolaç A. Optimization of electrochemical treatment of industrial paint wastewater with response surface methodology. J Hazard Mater 2007;148:83–90.10.1016/j.jhazmat.2007.02.005Search in Google Scholar PubMed

34. Aleboyeh A, Daneshvar N, Kasiri MB. Optimization of C.I. acid red 14 azo dye removal by electrocoagulation batch process with response surface methodology. Chem Eng Process 2008;47:827–32.10.1016/j.cep.2007.01.033Search in Google Scholar

35. Sakkas VA, Islam MA, Stalikas C, Albanis TA. Photocatalytic degradation using design of experiments: a review and example of the Congo red degradation. J Hazard Mater 2010;175:33–44.10.1016/j.jhazmat.2009.10.050Search in Google Scholar PubMed

Published Online: 2015-8-6
Published in Print: 2016-2-1

©2016 by De Gruyter

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