Automation of Process Evaluation of Saccharification of Wheat Starch Followed by Fermentation of Glucose to Prepare Bioethanol Using Digital Image Processing

  • Neha Patni
  • Pooja Shah
  • Jayneel VoraEmail author
  • Vinit Shah
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 107)


During the last few decades, an increase in the pollution rate has been noticed due to extreme consumption of fossil fuels, mainly in big residential areas. All petroleum-based conventional fuels can be substituted by renewable bio-based fuels such as biodiesel, hydrogen, bioethanol. Bioethanol is generally produced from starchy materials (such as corn, wheat, cereals), lignocellulosic biomass and sucrose-containing feedstocks. Saccharification of starch is done using enzymes, followed by a fermentation process using baker’s yeast Saccharomyces cerevisiae. Experiments are carried out to see the day-wise decrease in concentration of glucose and increase in the concentration of ethanol. This may induce manual error as regular monitoring of the process with skilled supervision is required. In this paper, we propose “Auto Monitor” to introduce the digital image processing to automate monitoring of the said chemical process. This automation will help us get timely and accurate monitoring of various parameters like percentage of the chemical formation.


Bioethanol Fermentation Image processing Automation Saccharification 


  1. 1.
    Hansen, A.C., Zhang, Q., Lyne, P.W.L.: Ethanol-diesel fuel blends–a review. Bioresour. Technol. 96, 277–85 (2005)CrossRefGoogle Scholar
  2. 2.
    Balat, M.: Global bio-fuel processing and production trends. Energy Explore Exploit 25, 195–218 (2007)CrossRefGoogle Scholar
  3. 3.
    Mustafa, B., Havva, B., Cahide, O.: Progress in bioethanol processing. Prog. Energy Combust. Sci. 34, 551–573 (2008)CrossRefGoogle Scholar
  4. 4.
    Smith, A.M.: Prospects for increasing starch and sucrose yields for bioethanol production. Plant J. 54(4), 546–558 (2008)CrossRefGoogle Scholar
  5. 5.
    Lee, J.S., Parameswaran, B., Lee, J.P., Park, S.C.: Recent developments of key technologies on cellulosic ethanol production. J. Sci. Ind. Res. 67, 865–873 (2008)Google Scholar
  6. 6.
    Linoj Kumar, N.V., Dhavala, P., Goswami, A., Maithel, S.: Liquid biofuels in South Asia: resources and technologies. Asian Biotechnol. Develop. Rev. 8, 31–49 (2006)Google Scholar
  7. 7.
    Pejin, D.J., Vucurovic, V.M., Popov, S.D., Dodic, J.M., Dodic, S.N.: Production of bioethanol from kantata wheat variety. APTEFF 37, 155–161 (2006)CrossRefGoogle Scholar
  8. 8.
    Shanks, R., Kong, I.: Thermoplastic Starch, Thermoplastic Elastomers, Prof. Adel El-Sonbati (Ed.) (2012)Google Scholar
  9. 9.
  10. 10.
    McLaughlin, R.A.: Randomized Hough transform: improved ellipse detection with comparison. Pattern Recogn. Lett. 19(3), 299–305 (1998)CrossRefGoogle Scholar
  11. 11.
    Xu, L., Oja, E., Kultanen, P.: Anew curve detection method: Randomized Hough Transform (RHT). Pattern Recogn. Lett. 11, 331–338 (1990)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Neha Patni
    • 1
  • Pooja Shah
    • 1
  • Jayneel Vora
    • 1
    Email author
  • Vinit Shah
    • 1
  1. 1.Nirma UniversityAhmedabadIndia

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