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Multi-Objective Optimization Through Machine Learning Modeling for Production of Xylooligosaccharides from Alkali-Pretreated Corn-Cob Xylan Via Enzymatic Hydrolysis

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Indian Journal of Microbiology Aims and scope Submit manuscript

Abstract

The hemicellulose content present in corn cobs can help in producing a high amount of xylooligosaccharides (XOS) in an eco-friendly manner. In this work, the XOS was produced from alkali pre-treated corn-cobs having a true yield of 38 ± 1.4% via enzymatic hydrolysis with the help of xylanase from T. lanuginosus VAPS-24. The production process was optimized to achieve a high concentration of XOS using innovative multi-objective optimization through machine learning modeling and finding out the most suitable parameters where xylobiose production is higher than xylose. The Multi-objective connected neural networks (MOCNN) model with tangent sigmoid activation function yielded a correlation coefficient of 96.51%; there were six optimal sets where xylobiose concentration was higher than xylose. The best-optimized conditions yielded 3.03 mg/ml of xylobiose and 1.31 mg/ml of xylose. Therefore, this novel approach of machine learning can target the increasing demand for xylooligosaccharides in the growing industrial market of prebiotics.

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Acknowledgements

PS acknowledges the support from the Department of Biotechnology, Government of India (Grant No. BT/PR27437/BCE/8/1433/2018). PS also acknowledges the Lab Infrastructure grant by BHU, Varanasi (F (C) /XVIII-Spl.Fund/Misc/Infrastructure/Instt.Sc/2019-2020/10290 and BTISNET- Sub-Distributed Information Centre, funded by DBT, Govt. of India at the School of Biotechnology, Banaras Hindu University, and Varanasi, India. IK acknowledges the support of the University Research Scholarship by M.D. University, Rohtak, and India No. R&S/R-15/19/1868.

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  1. Pratyoosh Shukla

    Present address: School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, 221005, India

Authors and Affiliations

  1. Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, Haryana, 124001, India

    Ishu Khangwal & Pratyoosh Shukla

  2. Optimization and Mechatronics Laboratory, Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India

    Deepak Chhabra

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  1. Ishu Khangwal
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IK prepared the original draft of the manuscript and analyzed data and PS conceptualized the experiments and edited the final draft and supervised the study. DC contributed in software support and validation of data.

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Correspondence to Pratyoosh Shukla.

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Khangwal, I., Chhabra, D. & Shukla, P. Multi-Objective Optimization Through Machine Learning Modeling for Production of Xylooligosaccharides from Alkali-Pretreated Corn-Cob Xylan Via Enzymatic Hydrolysis. Indian J Microbiol 61, 458–466 (2021). https://doi.org/10.1007/s12088-021-00970-2

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