National Academy of Agricultural Sciences (NAAS)
|
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Chitinases – the primary chitinolytic enzymes have gained great attention due to its industrial, environmental, agricultural, medicinal and biotechnological applications. Nevertheless, the industrial-scale production of this enzyme remains in its early stages due to low yielding strains and high cost of production. This study focuses on enhancing chitinase production from low- cost chitin substrate through cumulative optimization, harnessing a high-yielding novel chitinase-producing strain isolated from Mimosa pudica root nodules. Among the various isolates, the best chitinase producer, identified as Paenibacillus yonginensis, exhibited an inherent high chitinase activity of 1.08 U/100 ml. Using Minitab statistical software, contemporary statistical optimization techniques were applied to optimize the media for Paenibacillus yonginensis chitinase production. Through Plackett-Burman design, it was determined that various factors including substrate (colloidal chitin), incubation time and pH were notably significant. Further optimization with a central composite design (CCD) approach using Response Surface Methodology (RSM) resulted in improved medium composition that yielded chitinase production up to 2.22 U/100 ml. It would be advantageous to use a high chitinase producing isolate in conjunction with the inexpensive and reliable nature of chitin as a carbon source to produce constant enzyme yields.
Adnan, M., Zafar, M., & Anwar, Z. (2024a). Screening of chitinolytic microfungi and optimization of parameters for hyperproduction of chitinase through solid-state fermentation technique. Applied Biochemistry and Biotechnology, 196(4), 1840–1862. https://doi.org/10.1007/s12010-023-04663-y
Anglin, C., Wyss, U. P., & Pichora, D. R. (2000). Mechanical testing of shoulder prostheses and recommendations for glenoid design. Journal of Shoulder and Elbow Surgery, 9(4), 323–331. https://doi.org/10.1067/mse.2000.105451
Bhattacharya, D., Nagpure, A., & Gupta, R. K. (2007). Bacterial chitinases: Properties and potential. Critical Reviews in Biotechnology, 27(1), 21–28. https://doi.org/10.1080/07388550601168223
Chang, C.-Y., Lee, C.-L., & Pan, T.-M. (2006). Statistical optimization of medium components for the production of Antrodia cinnamomea AC0623 in submerged cultures. Applied Microbiology and Biotechnology, 72(4), 654–661. https://doi.org/10.1007/s00253-006-0325-6
Cheng, K. W. E., Wang, H. Y., & Cheng, D. K. W. (2008). Design and analysis of an electronic ballast with a secondary DC output. International Journal of Circuit Theory and Applications, 36(8), 883–898. https://doi.org/10.1002/cta.466
Etesami, H. (2022). Root nodules of legumes: A suitable ecological niche for isolating non-rhizobial bacteria with biotechnological potential in agriculture. Current Research in Biotechnology, 4, 78–86. https://doi.org/10.1016/j.crbiot.2022.01.003
Flach, J., Pilet, P.-E., & Jollès, P. (1992). What’s new in chitinase research? Experientia, 48(8), 701–716. https://doi.org/10.1007/BF02124285
Garima, D., & Anil, K. (2021). Statistical optimization of chitinase production by Box–Behnken design in submerged fermentation using Bacillus cereus GS02. Journal of Applied Biology & Biotechnology. https://doi.org/10.7324/JABB.2021.9205
Gohel, V., Chaudhary, T., Vyas, P., & Chhatpar, H. S. (2006). Statistical screenings of medium components for the production of chitinase by the marine isolate Pantoea dispersa. Biochemical Engineering Journal, 28(1), 50–56. https://doi.org/10.1016/j.bej.2005.09.002
Patil, R. S., Ghormade, V., & Deshpande, M. V. (2000). Chitinolytic enzymes: An exploration. Enzyme and Microbial Technology, 26(7), 473–483. https://doi.org/10.1016/S0141-0229(00)00134-4
Plackett, R. L., & Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 33(4), 305–325. https://doi.org/10.1093/biomet/33.4.305
Plackett, R. L., & Burman, J. P. (1946b). The design of optimum multifactorial experiments. Biometrika, 33(4), 305–325. https://doi.org/10.1093/biomet/33.4.305
Rathore, A. S., & Gupta, R. D. (2015). Chitinases from bacteria to human: Properties, applications, and future perspectives. Enzyme Research, 2015, 1–8. https://doi.org/10.1155/2015/791907
Roberts, W. K., & Selitrennikoff, C. P. (1988). Plant and bacterial chitinases differ in antifungal activity. Microbiology, 134(1), 169–176. https://doi.org/10.1099/00221287-134-1-169
Sashiwa, H., & Aiba, S. (2004). Chemically modified chitin and chitosan as biomaterials. Progress in Polymer Science, 29(9), 887–908. https://doi.org/10.1016/j.progpolymsci.2004.04.001
Singh, A. K., Mehta, G., & Chhatpar, H. S. (2009). Optimization of medium constituents for improved chitinase production by Paenibacillus sp. D1 using statistical approach. Letters in Applied Microbiology, 49(6), 708–714. https://doi.org/10.1111/j.1472-765X.2009.02731.x
Thakur, N., Gupta, R., K. Nath, A., Chauhan, A., Thakur, M., Dogra, R. K., & Pandey, H. (2019). Isolation, screening and characterization of chitinase producing fungi from apple orchards of shimla and kinnaur district, india. International Journal of Current Microbiology and Applied Sciences, 8(01), 1556–1563. https://doi.org/10.20546/ijcmas.2019.801.163![]() |
![]() |
![]() |
![]() |
![]() |