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Optimization of Physico-Chemical Parameters for the Production of Endoxylanase Using Combined Response Surface Method and Genetic Algorithm

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Optimization, Variational Analysis and Applications (IFSOVAA 2020)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 355))

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Abstract

Endoxylanase production by Trichoderma reesei Rut C-30 was optimized under solid-state fermentation using a mixture of waste paper and wheat bran. Most effective variables for the endoxylanase production in screening experiments were incubation day, substrate ratio, solid:liquid ratio, and pH of the medium. In this chapter, a quadratic model was developed through response surface method followed by genetic algorithm to optimize the operational conditions for maximum endoxylanase production. The predicted optimal parameter for hybrid RSM-GA was tested and the final endoxylanase activity obtained was assessed very close to the predicted value. Optimization leads to the enhancement of endoxylanase activity by \(\sim \)2.5 fold.

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References

  1. Ahmad, I., Jeenanunta, C., Chanvarasuth, P., Komolavanij, S.: Prediction of physical quality parameters of frozen shrimp (Litopenaeus vannamei): an artificial neural networks and genetic algorithm approach. Food Bioproc. Tech. 7(5), 1433–1444 (2014)

    Google Scholar 

  2. Alvarez, M.J., Ilzarbe, L., Viles, E., Tanco, M.: The use of genetic algorithms in response surface methodology. Qual. Technol. Quant. Manag. 6(3), 295–307 (2009)

    Article  MathSciNet  Google Scholar 

  3. Azin, M., Mravej, R., Zareh, D.: Production of xylanase by Trichoderma longibrachiatum on a mixture of wheat bran and wheat straw: optimization of culture condition by Taguchi method. Enzyme Microb. Technol. 40, 801–805 (2007)

    Google Scholar 

  4. Bajaj, B.K., Sharma, M., Sharma, S.: Alkalistable endo-\(\beta \)-1,4-xylanase production from a newly isolated alkalitolerant Penicillium sp. SS1 using agro-residues. 3 Biotech. 1, 83–90 (2011)

    Google Scholar 

  5. Chatterjee, S., Bandopadhyay, S.: Reliability estimation using a genetic algorithm-based artificial neural network: an application to a load–haul–dump machine. Expert Syst. Appl. 39(12), 10943–10951 (2012)

    Google Scholar 

  6. Chen, G.Y., Fu, K.Y., Liang, Z.W., Sema, T., Li, C., Tontiwachwuthikul, P., Idem, R.: The genetic algorithm based back propagation neural network for MMP prediction in \(CO_2\)-EOR process. Fuel 126, 202–212 (2014)

    Article  Google Scholar 

  7. Colina, A., Sulbarán-De-Ferrer, B., Aiello, C., Ferrer, A.: Xylanase production by Trichoderma reesei Rut C-30 on rice straw. Appl. Biochem. Biotechnol. 108, 715–724 (2003)

    Google Scholar 

  8. Danmaliki, G.I., Saleh, T.A., Shamsuddeen, A.A.: Response surface methodology optimization of adsorptive desulfurization on nickel/activated carbon. Chem. Eng. J. 313, 993–1003 (2017)

    Article  Google Scholar 

  9. Das, M., Banerjee, R., Bal, S.: Multivariable parameter optimization for endoglucanase production by Trichoderma reesei Rut C-30 from Ocimum gratissimum seed. Braz. Arch. Biol. Technol. 51, 35–41 (2008)

    Google Scholar 

  10. Draper, N.R., John, J.A.: Response-surface design for quantitative and qualitative variables. Technometrics 30(4), 423–8 (1988)

    Article  MathSciNet  Google Scholar 

  11. Draper, N.R., Lin, D.K.J.: Small response-surface designs. Technometrics 32(2), 187–194 (1990)

    Article  MathSciNet  Google Scholar 

  12. Fortkamp, D., Knob, A.: High xylanase production by Trichoderma viride using pineapple peel as substrate and its application in pulp biobleaching. Afr. J. Biotech. 13(22), 2248–2259 (2014)

    Google Scholar 

  13. Gerber, P.J., Heitmann, J.A., Joyce, T.W.: Purification and characterization of xylanases form Trichoderma. Bioresour. Technol. 61, 127–40 (1997)

    Google Scholar 

  14. Gervais, P., Molin, P.: The role of water in solid-state fermentation. J. Biochem. Eng. 13, 85–101 (2003)

    Article  Google Scholar 

  15. Goyal, M., Kalra, K.L., Sarren, V.K., Soni, G.: Xylanase production with xylan rich lignocellulosic wastes by a local soil isolate of Trichoderma viride. Braz. J. Microbiol. 39(3), 535–541 (2008)

    Google Scholar 

  16. He, J., Sato, M. (eds.): Advances in Computing Science-ASIAN 2000: 6th Asian Computing Science Conference Penang, Malaysia, November 25–27, 2000 Proceedings (No. 1961). Springer Science & Business Media (2000)

    Google Scholar 

  17. Joshi, C., Khare, S.K.: Induction of xylanase in thermophilic fungi Scytalidium thermophilum and Sporotrichum thermophile. Braz. Arch. Biol. Biotechnol. 55(1), 21–27 (2012)

    Google Scholar 

  18. Kalyanmoy, D.: Optimizations for Engineering Design- Algorithm and Examples, pp. 290–333. Prentice Hall of India, New Delhi (1996)

    Google Scholar 

  19. Kapoor, V., Singh, R., Banerjee, R., Kumar, V.: Statistical optimization of production parameters for endoglucanase by Trichoderma reesei Rut C-30 employing agro-residue. Dyn. Biochem. Process Biotech. Mol. Biol. 5, 35–40 (2011)

    Google Scholar 

  20. Knob, A., Beitel, S.M., Fortkamp, D., Terrasan, C.R., de Almeida, A.F.: Production, purification, and characterization of a major Penicillium glabrum xylanase using Brewer’s spent grain as substrate. Biomed Res. Int. 1–8 (2013)

    Google Scholar 

  21. Lakshmanan, V.: Using a genetic algorithm to tune a bounded weak echo region detection algorithm. J. Appl. Meteorol. 39, 222–230 (1999)

    Article  Google Scholar 

  22. Liu, J., Youn, X., Zeng, G., Shi, J., Chen, S.: Effect of biosurfactant on cellulase and xylanase production by Trichoderma viride in solid substrate fermentation. Process Biochem. 41, 2347–2351 (2006)

    Google Scholar 

  23. Miller, G.L.: Use of dinitrosalicylic acid reagent for determining reducing sugars. Anal. Chem. 31, 426–428 (1959)

    Article  Google Scholar 

  24. Mourabet, M., El Rhilassi, A., El Boujaady, H., Bennani-Ziatni, M., Taitai, A.: Use of response surface methodology for optimization of fluoride adsorption in an aqueous solution by Brushite. Arab. J. Chem. 10, S3292–S3302 (2017)

    Article  Google Scholar 

  25. Myers, R.H., Montgomery, D.C.: Response Surface Methodology: Process and Product Optimization Using Designed Experiments, p. 43. Wiley, New York (2002)

    MATH  Google Scholar 

  26. Norazlina, I., Pushpahvalli, B., Ku Halim, K..H.., Norakma, M..N.: Comparable study of xylanase production from Aspergillus niger via solid state culture. J. Chem. Chemical Eng. 6(12), 1106–1113 (2012)

    Google Scholar 

  27. Ravichandra, K., Yaswanth, V.V.N., Nikhila, B., Ahmad, J., Srinivasa Rao, P., Uma, A., Ravindrababu, V., Prakasham, R.S.: Xylanase production by isolated fungal strain, Aspergillus fumigatus RSP-8 (MTCC 12039): Impact of agro-industrial material as substrate. Sugar Tech. 18(1), 29–38 (2016)

    Google Scholar 

  28. Reczey, K., Szengyel, Zs., Eklund, R., Zacchi, G.: Cellulase production by Trichoderma reesei. Bioresour. Technol. 57, 25–30 (1996)

    Google Scholar 

  29. Sharma, D.N., Kumar, J.R.: Optimization of dross formation rate in plasma arc cutting process by response surface method. Materials Today: Proceedings (2020)

    Google Scholar 

  30. Sharma, D.N., Tewari, M.: Optimization of Friction Stir Welding parameters using combined Taguchi L9 and Genetic Algorithm. International Conference an artificial intelligence and application (IEEE-COER-ICAIA-2019) (2019)

    Google Scholar 

  31. Singh, R., Kapoor, V., Kumar, V.: Production of thermostable, \(Ca^{+2}\)-independent, maltose producing \(\alpha \)-amylase by Streptomyces sp. MSC702 (MTCC 10772) in submerged fermentation using agro-residues as sole carbon source. Ann. Microbiol. 62, 1003–1012 (2012)

    Google Scholar 

  32. Singh, R., Kapoor, V., Kumar, V.: Influence of carbon and nitrogen sources on the \(\alpha \)-amylase production by a newly isolated thermotolerant Streptomyces sp. MSC702 (MTCC 10772). Asian J. Biotechnol. 3(6), 540–553 (2011)

    Google Scholar 

  33. Soliman, H.M., Sherief, A.A., Tanash, A.B.E.: Production of Xylanase by Aspergillus niger and Trichoderma viride using some agriculture residues. Int. J. Agric. Res. 7, 46–57 (2012)

    Google Scholar 

  34. Thygesen, A., Thomsen, A.B., Schmidt, A.S., Jorgensen, H., Ahring, B.K., Olsson, L.: Production of cellulose and hemicelluloses degrading enzymes by filamentous fungi cultivated on wet oxidized wheat straw. Enzyme Microb. Technol. 32, 606–615 (2003)

    Article  Google Scholar 

  35. Venter, G.: Non-dimensional response surfaces for structural optimization with uncertainty. Ph.D. thesis, University of Florida, USA (1998)

    Google Scholar 

  36. **ong, H., Weymarn, N.V., Leisola, M., Turunen, O.: Influence of pH on the production of xylanases by Trichoderma reesei Rut C-30. Process Biochem. 39, 731–736 (2004)

    Google Scholar 

  37. Yolmeh, M., Jafari, S.M.: Applications of response surface methodology in the food industry processes. Food Bioproc. Tech. 10(3), 413–433 (2017)

    Article  Google Scholar 

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Acknowledgements

We would like to thank the anonymous referees for their suggestions, which improved the original version of the chapter.

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Authors and Affiliations

  1. Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Vishal Kapoor & Devaki Nandan

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  1. Vishal Kapoor
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  2. Devaki Nandan
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Correspondence to Vishal Kapoor .

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Editors and Affiliations

  1. Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Laha

  2. Institut de Mathématiques de Toulouse, Paul Sabatier University, Toulouse, France

    Pierre Maréchal

  3. Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    S. K. Mishra

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Kapoor, V., Nandan, D. (2021). Optimization of Physico-Chemical Parameters for the Production of Endoxylanase Using Combined Response Surface Method and Genetic Algorithm. In: Laha, V., Maréchal, P., Mishra, S.K. (eds) Optimization, Variational Analysis and Applications. IFSOVAA 2020. Springer Proceedings in Mathematics & Statistics, vol 355. Springer, Singapore. https://doi.org/10.1007/978-981-16-1819-2_14

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