Engineering interventions in enzyme production: Lab to industrial scale

Ayon Tarafdar, Ranjna Sirohi, Vivek Kumar Gaur, Sunil Kumar, Poonam Sharma, Sunita Varjani, Hari Om Pandey, Raveendran Sindhu, Aravind Madhavan, Reshmy Rajasekharan, Sang Jun Sim

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

Commercial enzyme production has gained popularity due to its extensive applications in traditional and modern industrial sectors. Rigorous research activities are being conducted worldwide to make the enzyme production system more efficient, cost-effective and hence, sustainable. To overcome the lacunae in earlier enzyme production methods, new engineering interventions are being introduced to meet the growing demand for industrial enzymes. This review focuses initially on the current global scenario of the enzyme market followed by a discussion on different bioreactor design approaches. The use of novel membrane based, airlift and reciprocating plate bioreactors along with the emergence of micro-reactors have also been discussed. Further, the review covers different modelling and optimization strategies for the enzyme production process including advanced techniques like neural networks, adaptive neuro-fuzzy inference systems and genetic algorithms. Finally, the required thrust areas in the enzyme production sector have been highlighted with directions for future research.

Original languageEnglish
Article number124771
JournalBioresource technology
Volume326
DOIs
Publication statusPublished - 2021 Apr

Keywords

  • Bioreactors
  • Genetic algorithm
  • Microreactors
  • Modeling
  • Neural network

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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