TY - JOUR
T1 - L-asparaginase from soil actinomycetes
T2 - Optimization of process variables using Plackett Burman method
AU - Kumar, Mithilesh
AU - Muralidharan, Anuraag
AU - Pai, Aravinda
AU - Subrahmanyam, V. M.
AU - Kamath, Venkatesh
N1 - Publisher Copyright:
© RJPT All right reserved.
PY - 2019/7
Y1 - 2019/7
N2 - Extensive exploration of soil microorganisms in search of novel metabolites have edified researchers on the available natural products for drug discovery. Actinomycetes are filamentous Gram positive bacteria capable of producing wide array of bioactive metabolites. High GC content in the DNA, makes the organism unique and peculiar from other microorganisms. The present article contains data on purification and characterization of L-asparaginase from soil actinomycetes. Soil samples were collected from different locations in Udupi fish market, Karnataka, India. A total of 106 isolates were screened through rapid plate assay method, out of which 17 were found active. Furthermore, a promising isolate FMCL-13A with maximum enzyme activity was chosen by submerged fermentation technique. Statistical designs viz., Placket-Burman (PB) was employed for optimization of various experimental parameters in order to enhance L-asparaginase production. The nutritional variables which affects the enzyme production by submerged fermentation from the active isolate was optimized by PB model.
AB - Extensive exploration of soil microorganisms in search of novel metabolites have edified researchers on the available natural products for drug discovery. Actinomycetes are filamentous Gram positive bacteria capable of producing wide array of bioactive metabolites. High GC content in the DNA, makes the organism unique and peculiar from other microorganisms. The present article contains data on purification and characterization of L-asparaginase from soil actinomycetes. Soil samples were collected from different locations in Udupi fish market, Karnataka, India. A total of 106 isolates were screened through rapid plate assay method, out of which 17 were found active. Furthermore, a promising isolate FMCL-13A with maximum enzyme activity was chosen by submerged fermentation technique. Statistical designs viz., Placket-Burman (PB) was employed for optimization of various experimental parameters in order to enhance L-asparaginase production. The nutritional variables which affects the enzyme production by submerged fermentation from the active isolate was optimized by PB model.
UR - http://www.scopus.com/inward/record.url?scp=85074370572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074370572&partnerID=8YFLogxK
U2 - 10.5958/0974-360X.2019.00592.4
DO - 10.5958/0974-360X.2019.00592.4
M3 - Article
AN - SCOPUS:85074370572
SN - 0974-3618
VL - 12
SP - 3487
EP - 3490
JO - Research Journal of Pharmacy and Technology
JF - Research Journal of Pharmacy and Technology
IS - 7
ER -