Skip to main content

Modeling and Theoretical Analysis of Isomaltooligosaccharide (IMO) Production Using Fed-Batch Process

  • Chapter
  • First Online:
Biotechnology and Biochemical Engineering
  • 909 Accesses

Abstract

Isomaltooligosaccharide (IMO), a potential prebiotic, has been successfully produced in an enzymatic reaction using α-glucosidase obtained from Aspergillus niger PFS 08 and maltose as a substrate in a batch system (Basu et al. in Catal Sci Technol 5:2945–2958, 2015). The reaction mechanism was modeled using a set of experimental data and later validated against a different experimental data in the same study. In the present study, thus obtained model has been extended to a fed-batch system where in theoretical analysis has been carried out. The model simulations were carried for constant feeding, and linear feeding. Some of the simulations have resulted in higher yields in comparison to the batch experiments. It has been observed that in case of constant feeding, i.e., feeding at a constant flowrate throughout the fed-batch, with flow rate of 0.005 L/h and above value has improved the yield of IMO significantly. The yield of IMO (g IMO/g maltose) for batch experiment was 0.38 at the end of 60 h (Basu et al. in Catal Sci Technol 5:2945–2958, 2015), whereas at flow-rates ≥0.005 L/h the yield of IMO ranged between 0.50 and 0.53 at the end of 60 h. Similarly, in case of linear feeding, where in the feed was a linear function of time, the yields in IMO increased significantly. Here in linear feeding, different incremental slopes, ranging 2 × 10−5 to 2 × 10−1 L/h2 were selected to dose the maltose in separate simulations, and it was observed that the yields of IMO ranged between 0.42 and 0.58 in case of 60 h of fed-batch reaction. Using both constant and linear feeding profiles, simulations were again carried for a time period of 24 h as the yield of IMO in the batch reaction was maximum at the end of 24 h. From these simulation results, the yields observed were greater than 0.6. Finally from this theoretical study it could be concluded that higher yields and productivity can be achieved in the fed-batch process of IMO production in comparison to batch setup.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ashino, R., Nagase, M., Vaillancourt, R.: Behind and beyond the MATLAB ODE Suite. Comput. Math. Appl. 40(4–5), 491–512 (2000)

    Google Scholar 

  • Basu, A., Mutturi, S., Prapulla, S.G.: Modeling of enzymatic production of isomaltooligosaccharides: a mechanistic approach. Catal. Sci. Technol. 5, 2945–2958 (2015)

    Article  CAS  Google Scholar 

  • Gibson, G.R., Roberfroid, M.B.: Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. J. Nutr. 125, 1401–1412 (1995)

    CAS  Google Scholar 

  • Glor, E.B., Miller, C.H., Spandau, D.F.: Degradation of starch and its hydrolytic products by oral bacteria. J. Dent. Res. 67, 75–81 (1988)

    Article  CAS  Google Scholar 

  • Licht, T.R., Ebersbach, T., Frøkiær, H.: Prebiotics for prevention of gut infections. Trends Food Sci. Technol. 23, 70–82 (2012)

    Article  CAS  Google Scholar 

  • Pan, Y.C., Lee, W.C.: Production of high-purity isomalto-oligosaccharides syrup by the enzymatic conversion of transglucosidase and fermentation of yeast cells. Biotechnol. Bioeng. 89, 797–804 (2005)

    Article  CAS  Google Scholar 

  • Sheu, D.C., Huang, C.I., Duan, K.J.: Production of isomaltooligosaccharides by alpha-glucosidase immobilized in chitosan beads and by polyethyleneimine-glutaraldehyde treated mycelia of Aspergillus carbonarious. Biotechnol. Tech. 11, 287–291 (1997)

    Article  CAS  Google Scholar 

  • Yoo, S.H., Kweon, M.R., Kim, M.J., Auh, J.H., Jung, D.S., Kim, J.R., Yook, C., Kim, J.W., Park, K.H.: Branched oligosaccharides concentrated by yeast fermentation and effectiveness as a low sweetness humectant. J. Food Sci. 60, 516–519 (1995)

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors would like to thank Director, CSIR-CFTRI and Head, Microbiology and Fermentation Technology, CSIR-CFTRI for their kind support and encouragement.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sarma Mutturi .

Editor information

Editors and Affiliations

Appendix

Appendix

\( G \)

Glucose

V 4r

Maximum velocity of hydrolysis of isomaltose to glucose (g/L h)

\( G_{2}^{{}} \)

Maltose

K 4M

Michaelis-Menton constant of hydrolysis of isomaltose to glucose (g/L)

\( G_{2}^{'} \)

Isomaltose

K 4iG

Competitive inhibition constant by glucose on isomaltose as substrate (g/L)

\( G_{3} \)

Panose

v 5r

Maximum velocity of hydrolysis of maltotriose to maltose (g/L h)

\( G_{3}^{'} \)

Maltotriose

K 5M

Michaelis-Menton constant of hydrolysis of maltotriose to maltose (g/L)

\( G_{3}^{''} \)

Isomaltotriose

K 5iG

Competitive inhibition constant by glucose on maltotriose as substrate (g/L)

\( G_{4} \)

Maltotetraose

K 5iG2

Competitive inhibition constant bymaltose on maltotriose as substrate (g/L)

\( G_{4}^{'} \)

Glucosyl-panose

v 6r

Maximum velocity of hydrolysis of maltotetraose to maltotriose (g/L h)

v

Maximum velocity (g/L h)

K 6M

Michaelis-Menton constant of hydrolysis of maltotetraose to maltotriose (g/L)

K M

Michaelis-Menton constant (g/L)

K 6iG

Competitive inhibition constant by glucose on maltotetraose as substrate (g/L)

K i

Inhibition constant (g/L)

v 7r

Maximum velocity of hydrolysis of glucosyl-panose to panose (g/L h)

R

Rate of reaction (1, 2, 3, … subscripts denotes Eqs. 1, 2, 3, …)

K 7M

Michaelis-Menton constant of hydrolysis of glucosyl-panose to panose (g/L)

v 1r

Maximum velocity of hydrolysis of maltose to glucose (g/L h)

K 7iG

Competitive inhibition constant by glucose on glucosyl-panose as substrate (g/L)

K 1M

Michaelis-Menton constant of hydrolysis of maltose to glucose (g/L)

v 8r

Maximum velocity of hydrolysis of isomaltotriose to isomaltose (g/L h)

K 1iG2

Substrate inhibition constant of hydrolysis of maltose to glucose (g/L)

K 8M

Michaelis-Menton constant of hydrolysis of isomaltotriose to isomaltose (g/L)

v 2r

Maximum velocity of hydrolysis of panose to isomaltose (g/L h)

v 9r

Maximum velocity of transglucosylation of maltose to maltotriose (g/L h)

K 2M

Michaelis-Menton constant of hydrolysis of panose to isomaltose (g/L)

K 9M

Michaelis-Menton constant of transglucosylation of maltose to maltotriose (g/L)

v 3r

Maximum velocity of hydrolysis of panose to maltose (g/L h)

K 9iG2

Substrate inhibition constant of transglucosylation of maltose to maltotriose (g/L)

K 3M

Michaelis-Menton constant of hydrolysis of panose to maltose (g/L)

v 10r

Maximum velocity of transglucosylation of maltose to panose (g/L h)

K 3iG

Competitive inhibition constant by glucose on panose as substrate (g/L)

K 10M

Michaelis-Menton constant of transglucosylation of maltose to panose (g/L)

K 3iG2

Competitive inhibition constant by maltose on panose as substrate (g/L)

K 10iG2

Substrate inhibition constant of transglucosylation of maltose to panose (g/L)

v 11r

Maximum velocity of transglucosylation of isomaltose to isomaltotriose (g/L h)

K 13M

Michaelis-Menton constant of transglucosylation of panose to glucosyl-panose (g/L)

K 11M

Michaelis-Menton constant of transglucosylation of isomaltose to isomaltotriose (g/L)

K 13iG2

Competitive inhibition constant by maltose on panose as substrate (g/L)

K 11iG

Substrate inhibition constant of transglucosylation of isomaltose to isomaltotriose (g/L)

v 14r

maximum velocity of transglucosylation of glucose to isomaltose (g/L h)

v 12r

Maximum velocity of transglucosylation of maltotriose to maltotetraose (g/L h)

K 14M

Michaelis-Menton constant of transglucosylation of glucose to isomaltose (g/L)

K 12M

Michaelis-Menton constant of transglucosylation of maltotriose to maltotetraose (g/L)

  

K 12iG2

Substrate inhibition constant of transglucosylation of maltotriose to maltotetraose (g/L)

  

v 13r

Maximum velocity of transglucosylation of panose to glucosyl-panose (g/L h)

  

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this chapter

Cite this chapter

Mutturi, S., Basu, A. (2016). Modeling and Theoretical Analysis of Isomaltooligosaccharide (IMO) Production Using Fed-Batch Process. In: B. D., P., Gummadi, S., Vadlani, P. (eds) Biotechnology and Biochemical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-1920-3_8

Download citation

Publish with us

Policies and ethics