Hairy Roots pp 311-327 | Cite as

Strategies for Monitoring and Modeling the Growth of Hairy Root Cultures: An In Silico Perspective

  • Mandavi Goswami
  • Salman Akhtar
  • Khwaja OsamaEmail author


Hairy roots have been identified as a good source of secondary metabolites in plants. These secondary metabolites in the genera of phytochemicals have been used by humans since long in the form of drugs, flavors, colors, and others. Thereby, large-scale culture of hairy roots, its management, and production have been conferred as most important and critical steps at industrial scale. Conversely, culture of hairy roots in bioreactors at industrial scale has proven to be a tedious job and requires continuous monitoring and precise control of the system. These challenges for hairy roots owe to their heterogeneous nature. Conventional methods for monitoring of such cultures have failed to work well within this system. So, indirect methods are being used for continuous monitoring of growth and metabolite content in hairy roots. Efficiency and efficacy of these indirect methods depend largely upon models of hairy root growth, product synthesis, and substrate utilization. Several mathematical and computational models have been developed to explain hairy root growth. Some of these models are complex mathematical equations which are based on physical principles, while others are computational models derived from empirical data. This chapter intends to outline and explain some of the prominent models for hairy root growth and their mode and mechanism of action in large-scale bioreactors.


Artificial neural network Genetic algorithm Hairy root culture Hidden Markov model Image analysis Mathematical model Metabolic flux analysis 


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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of BioengineeringIntegral UniversityLucknowIndia

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