Optimization of laccase from Lysinibacillus boronitolerans using response surface methodology

被引:0
作者
Panchal, Kamaljit [1 ]
Bhatti, Laxmi [1 ]
Suhag, Meenakshi [2 ]
Khatak, Sunita [1 ]
Kumar, Rajesh [1 ]
机构
[1] Kurukshetra Univ, Univ Inst Engn & Technol, Dept Biotechnol, Kurukshetra 136119, Haryana, India
[2] Kurukshetra Univ, Inst Environm Studies, Kurukshetra 136119, Haryana, India
关键词
OVAT; Extracellular laccase; Bioremediation; Surface response methodology; Central composite design; DESIGN; DYES;
D O I
10.1007/s11756-025-01990-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The screening of thirty two bacterial isolates collected from dye contaminated soil for laccase production revealed the high laccase production potential of the isolate K14. The laccase-producing bacterial strains were tested with guaiacol as a substrate. The bacterial isolate was identified as Lysinibacillus boronitolerans. To optimize a low-cost medium for laccase synthesis, the following parameters were used: temperature (37 degrees C), pH (7), inoculum (1%), incubation period (5 days). The media's efficiency for laccase production was statistically evaluated. An artificial neural network predicted optimal laccase production in the response surface model (RSM), with a net regression value of 0.98. The optimal media conditions for laccase production were as follows: carbon source (glucose 2%), nitrogen source (peptone 2%), inducer (copper sulfate 0.4 mM), pH (8), temperature (35 degrees C), inoculum size (1.5%) and duration (2 days). The minimal laccase production in the response surface model was 7.34 U/mL and the maximal laccase production was 12.23 U/mL on the 2nd day.
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页数:11
相关论文
共 42 条
[1]  
Aisha A, 2024, Nanomater Air Water Purif, P257, DOI [10.1002/9783527838059.ch11, DOI 10.1002/9783527838059.CH11]
[2]  
Ansari MKA, 2021, Acta Sci Microbiol, V4, DOI [10.1080/00194506.2019.1684211, DOI 10.1080/00194506.2019.1684211]
[3]  
Bhankar U, 2023, Lett Appl NanoBioSci, V12, P144, DOI [10.3389/fmicb.2024.1408521, DOI 10.3389/FMICB.2024.1408521, 10.33263/LIANBS124.144, DOI 10.33263/LIANBS124.144]
[4]   Experimental design and multiple response optimization. Using the desirability function in analytical methods development [J].
Candioti, Luciana Vera ;
De Zan, Maria M. ;
Camara, Maria S. ;
Goicoechea, Hector C. .
TALANTA, 2014, 124 :123-138
[5]  
de Castro Coelho M, 2021, J King Saud Univ Sci, V33
[6]  
Deepa T., 2020, Environ Sustain, V3, P471, DOI [10.1007/s42398-020-00135-9, DOI 10.1007/S42398-020-00135-9]
[7]  
Devasia S, 2016, Int J Curr Microbiol Appl Sci, V5, P127, DOI [10.20546/ijcmas.2016.505.014, DOI 10.20546/IJCMAS.2016.505.014]
[8]  
Elshafei A.M., 2012, Advances in Life sciences, V2, P31, DOI DOI 10.5923/J.ALS.20120201.05
[9]  
Etezad SM, 2021, Prog Color Colorants Coat, V14, P79, DOI [10.30509/pccc.2021.81670, DOI 10.30509/PCCC.2021.81670]
[10]   Statistical optimisation of laccase production by isolated strain Aspergillus flavus PUF5 utilising ribbed gourd peels as the substrate and enzyme application on apple juice clarification [J].
Ghosh, Priyanka ;
Ghosh, Uma .
INDIAN CHEMICAL ENGINEER, 2020, 62 (04) :427-438