Abstract
The nutritional requirements for antimicrobial agent production using Streptomyces hygroscopicus were analyzed in shake flask experiments. Antimicrobial activity was tested against Staphylococcus aureus and Bacillus cereus. The mathematical models have been generated with relative high complexity in order to give an adequate fit to the data. All the results suggest a high dependence of produced antimicrobial agent quantities on the amount of carbon, nitrogen, and phosphorus in cultivation medium. The statistical results of the generated models reflect the high predictive ability. The derived models were validated using leave-one-out cross-validation technique, and from statistical point of view, they have significantly high values of the cross-validation parameters.
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Kuta, F. A., Nimzing, L., & Orka’a, P. Y. (2009). Applied Medical Informatics, 24, 42–46.
Bottone, E. J. (2010). Clinical Microbiology Reviews, 23, 382–398.
Anitha, A., & Rebeeth, M. (2009). Academic Journal of Plant Sciences, 2, 119–123.
Singh, N., & Rai, V. (2012). International Journal of Pharmacy and Pharmaceutical Sciences, 4, 94–101.
Sanchez, S., & Demain, A. L. (2002). Enzyme and Microbial Technology, 31, 895–906. 17.
Mizumoto, S., & Shoda, M. (2007). Applied Microbiology and Biotechnology, 76, 101–108.
Montgomery, D. C. (2012). Design and analysis of experiments (8th ed.). New York: Wiley.
Murthy, M., Swaminathan, T., Rakshit, S. K., & Kosugi, Y. (2000). Bioprocess and Biosystems Engineering, 22, 35–39.
Constans, P., & Hirst, J. D. (2000). Journal of Chemical Information and Computer Sciences, 40, 452–459.
Khodadoust, S. (2012). Indian Journal of Chemical Technology, 5, 2001–2008.
Cross, T. (1989). In D. H. Bergey & J. G. Holt (Eds.), Bergey’s manual of systematic bacteriology (p. 2340). Baltimore: Williams & Wilkins Company.
Williams, S. T., Goodfellow, M., Alderson, G., Wellington, E. M. H., Sneath, P. H. A., & Sackin, M. J. (1983). Journal of General Microbiology, 129, 1743–1813.
Bauer, A. W., Kirby, W. M., Sherris, J. C., & Turck, M. (1966). American Journal of Clinical Pathology, 45, 493–496.
Hallander, H. O., & Laurell, G. (1972). Antimicrobial Agents and Chemotherapy, 1, 422–426.
Podunavac-Kuzmanović, S., Cvetković, D., & Gadžurić, S. (2011). Acta Periodica Technologica, 42, 251–261.
Palmer, D., O’Boyle, N., Glen, R., & Mitchell, J. (2006). Journal of Chemical Information and Modeling, 47, 150–158.
Akbar, J., Iqbal, S., Batool, F., Karim, A., & Chan, K. (2012). International Journal of Molecular Sciences, 46, 111–115.
Asadpour, S., Chamsaz, M., & Haron, M. J. (2012). Research Journal of Pharmaceutical, Biological and Chemical Sciences, 3, 850–860.
Zou, C., & Zhou, L. (2007). Molecular Simulation, 33, 517–530.
Hobbs, G., Frazer, C. M., Gardner, D. C. J., Flett, F., & Oliver, S. G. (1990). Journal of General Microbiology, 136, 2291–2296.
Acknowledgments
This work was financially supported by the Provincial Secretariat for Science and Technological Development, Autonomous Province of Vojvodina, Project Number: 114-451-5041/2013 and the research projects No. 172012 and No. 172014 supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia.
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Dodić, J., Grahovac, J., Kalajdžija, N. et al. Chemometric Approach to Prediction of Antibacterial Agent Production by Streptomyces hygroscopicus . Appl Biochem Biotechnol 174, 534–541 (2014). https://doi.org/10.1007/s12010-014-1115-8
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DOI: https://doi.org/10.1007/s12010-014-1115-8