TY - JOUR
T1 - Engineering interventions in enzyme production
T2 - Lab to industrial scale
AU - Tarafdar, Ayon
AU - Sirohi, Ranjna
AU - Gaur, Vivek Kumar
AU - Kumar, Sunil
AU - Sharma, Poonam
AU - Varjani, Sunita
AU - Pandey, Hari Om
AU - Sindhu, Raveendran
AU - Madhavan, Aravind
AU - Rajasekharan, Reshmy
AU - Sim, Sang Jun
PY - 2021/4
Y1 - 2021/4
N2 - 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.© 2021 Elsevier Ltd.
AB - 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.© 2021 Elsevier Ltd.
KW - Bioreactors
KW - Genetic algorithm
KW - Microreactors
KW - Modeling
KW - Neural network
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85100434472&origin=recordpage
U2 - 10.1016/j.biortech.2021.124771
DO - 10.1016/j.biortech.2021.124771
M3 - RGC 21 - Publication in refereed journal
C2 - 33550211
SN - 0960-8524
VL - 326
JO - Bioresource Technology
JF - Bioresource Technology
M1 - 124771
ER -