Optimization of actinomycin D production using response surface methodology as statistical tool.
In a general way, the isolated microbial strains from nature produce discrete amounts of a particular secondary metabolite. The identification and characterization of bioactive compounds from crude extracts, makes it possible to improve the production of a metabolite of interest. The Streptomyces sp strain Caat 7-38, isolated from Caatinga biome rhizosphere which produces Actinomycin D, a potent antibiotic marketed under an antitumor agent. In order to improve the production of Actinomycin D, an experimental design 3¬k (33), generating response surfaces as a function of the independent variables: carbon source (%), nitrogen source (%) and temperature (°C) of culture conditions in ISP-2 medium, and as a dependent variable (response), the production of actinomycin D, was performed. The crude extracts generated in each one of the experiments were analyzed and processed by LC-MS with constructing an analytical curve with standard solution of 10, 50, 100, 200(?g/mL), and thus, the determination of the concentration of the compound in the different crude extracts. Through experimental results it was possible to obtain an empirical mathematical model that was able predicting the studied system, and thus, to determine the optimal values for each independent variable under the study ranges. With the validation of mathematical model and optimal values, we increased the production of Actinomycin D in 5-fold in regarding to control (standard growth media).
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| Idioma: | Portugues pt_BR |
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2018-02-08
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| Assuntos: | Estatística, Actinomycin D, |
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dig-alice-doc-10874952020-10-28T09:14:41Z Optimization of actinomycin D production using response surface methodology as statistical tool. PINTO, A. C. G. R. RODRIGUES, J. P. PETI, A. P. F. SILVA, L. H. F. MELO, I. S. de MORAES, L. A. B. A. C. G. R. PINTO; J. P. RODRIGUES; A. P. F. PETI; L. H. F. SILVA; ITAMAR SOARES DE MELO, CNPMA; L. A. B. MORAES. Estatística Actinomycin D In a general way, the isolated microbial strains from nature produce discrete amounts of a particular secondary metabolite. The identification and characterization of bioactive compounds from crude extracts, makes it possible to improve the production of a metabolite of interest. The Streptomyces sp strain Caat 7-38, isolated from Caatinga biome rhizosphere which produces Actinomycin D, a potent antibiotic marketed under an antitumor agent. In order to improve the production of Actinomycin D, an experimental design 3¬k (33), generating response surfaces as a function of the independent variables: carbon source (%), nitrogen source (%) and temperature (°C) of culture conditions in ISP-2 medium, and as a dependent variable (response), the production of actinomycin D, was performed. The crude extracts generated in each one of the experiments were analyzed and processed by LC-MS with constructing an analytical curve with standard solution of 10, 50, 100, 200(?g/mL), and thus, the determination of the concentration of the compound in the different crude extracts. Through experimental results it was possible to obtain an empirical mathematical model that was able predicting the studied system, and thus, to determine the optimal values for each independent variable under the study ranges. With the validation of mathematical model and optimal values, we increased the production of Actinomycin D in 5-fold in regarding to control (standard growth media). 2020-10-28T09:14:35Z 2020-10-28T09:14:35Z 2018-02-08 2017 Separatas In: BRAZILIAN CONFERENCE ON NATURAL PRODUCTS, 6.; ANUAL MEETING ON MICROMOLECULAR EVOLUTION, SYSTEMATICS AND ECOLOGY, 32., 2017. Vitória. Annals... Vitória: UFES, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1087495 Portugues pt_BR openAccess |
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Estatística Actinomycin D Estatística Actinomycin D |
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Estatística Actinomycin D Estatística Actinomycin D PINTO, A. C. G. R. RODRIGUES, J. P. PETI, A. P. F. SILVA, L. H. F. MELO, I. S. de MORAES, L. A. B. Optimization of actinomycin D production using response surface methodology as statistical tool. |
| description |
In a general way, the isolated microbial strains from nature produce discrete amounts of a particular secondary metabolite. The identification and characterization of bioactive compounds from crude extracts, makes it possible to improve the production of a metabolite of interest. The Streptomyces sp strain Caat 7-38, isolated from Caatinga biome rhizosphere which produces Actinomycin D, a potent antibiotic marketed under an antitumor agent. In order to improve the production of Actinomycin D, an experimental design 3¬k (33), generating response surfaces as a function of the independent variables: carbon source (%), nitrogen source (%) and temperature (°C) of culture conditions in ISP-2 medium, and as a dependent variable (response), the production of actinomycin D, was performed. The crude extracts generated in each one of the experiments were analyzed and processed by LC-MS with constructing an analytical curve with standard solution of 10, 50, 100, 200(?g/mL), and thus, the determination of the concentration of the compound in the different crude extracts. Through experimental results it was possible to obtain an empirical mathematical model that was able predicting the studied system, and thus, to determine the optimal values for each independent variable under the study ranges. With the validation of mathematical model and optimal values, we increased the production of Actinomycin D in 5-fold in regarding to control (standard growth media). |
| author2 |
A. C. G. R. PINTO; J. P. RODRIGUES; A. P. F. PETI; L. H. F. SILVA; ITAMAR SOARES DE MELO, CNPMA; L. A. B. MORAES. |
| author_facet |
A. C. G. R. PINTO; J. P. RODRIGUES; A. P. F. PETI; L. H. F. SILVA; ITAMAR SOARES DE MELO, CNPMA; L. A. B. MORAES. PINTO, A. C. G. R. RODRIGUES, J. P. PETI, A. P. F. SILVA, L. H. F. MELO, I. S. de MORAES, L. A. B. |
| format |
Separatas |
| topic_facet |
Estatística Actinomycin D |
| author |
PINTO, A. C. G. R. RODRIGUES, J. P. PETI, A. P. F. SILVA, L. H. F. MELO, I. S. de MORAES, L. A. B. |
| author_sort |
PINTO, A. C. G. R. |
| title |
Optimization of actinomycin D production using response surface methodology as statistical tool. |
| title_short |
Optimization of actinomycin D production using response surface methodology as statistical tool. |
| title_full |
Optimization of actinomycin D production using response surface methodology as statistical tool. |
| title_fullStr |
Optimization of actinomycin D production using response surface methodology as statistical tool. |
| title_full_unstemmed |
Optimization of actinomycin D production using response surface methodology as statistical tool. |
| title_sort |
optimization of actinomycin d production using response surface methodology as statistical tool. |
| publishDate |
2018-02-08 |
| url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1087495 |
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| _version_ |
1756027157345206272 |