{"title":"传统链霉菌NCIM 2418固态发酵生产新霉素的培养基组成优化。","authors":"B M Vastrad, S E Neelagund","doi":"10.1155/2014/674286","DOIUrl":null,"url":null,"abstract":"<p><p>Neomycin production of Streptomyces fradiae NCIM 2418 was optimized by using response surface methodology (RSM), which is powerful mathematical approach comprehensively applied in the optimization of solid state fermentation processes. In the first step of optimization, with Placket-Burman design, ammonium chloride, sodium nitrate, L-histidine, and ammonium nitrate were established to be the crucial nutritional factors affecting neomycin production significantly. In the second step, a 2(4) full factorial central composite design and RSM were applied to determine the optimal concentration of significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the important nutrients for the maximum were obtained as follows: ammonium chloride 2.00%, sodium nitrate 1.50%, L-histidine 0.250%, and ammonium nitrate 0.250% with a predicted value of maximum neomycin production of 20,000 g kg(-1) dry coconut oil cake. Under the optimal condition, the practical neomycin production was 19,642 g kg(-1) dry coconut oil cake. The determination coefficient (R (2)) was 0.9232, which ensures an acceptable admissibility of the model. </p>","PeriodicalId":9268,"journal":{"name":"Biotechnology Research International","volume":"2014 ","pages":"674286"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2014/674286","citationCount":"14","resultStr":"{\"title\":\"Optimization of Medium Composition for the Production of Neomycin by Streptomyces fradiae NCIM 2418 in Solid State Fermentation.\",\"authors\":\"B M Vastrad, S E Neelagund\",\"doi\":\"10.1155/2014/674286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Neomycin production of Streptomyces fradiae NCIM 2418 was optimized by using response surface methodology (RSM), which is powerful mathematical approach comprehensively applied in the optimization of solid state fermentation processes. In the first step of optimization, with Placket-Burman design, ammonium chloride, sodium nitrate, L-histidine, and ammonium nitrate were established to be the crucial nutritional factors affecting neomycin production significantly. In the second step, a 2(4) full factorial central composite design and RSM were applied to determine the optimal concentration of significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the important nutrients for the maximum were obtained as follows: ammonium chloride 2.00%, sodium nitrate 1.50%, L-histidine 0.250%, and ammonium nitrate 0.250% with a predicted value of maximum neomycin production of 20,000 g kg(-1) dry coconut oil cake. Under the optimal condition, the practical neomycin production was 19,642 g kg(-1) dry coconut oil cake. The determination coefficient (R (2)) was 0.9232, which ensures an acceptable admissibility of the model. </p>\",\"PeriodicalId\":9268,\"journal\":{\"name\":\"Biotechnology Research International\",\"volume\":\"2014 \",\"pages\":\"674286\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1155/2014/674286\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotechnology Research International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2014/674286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2014/6/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology Research International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2014/674286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/6/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
摘要
采用响应面法(RSM)对传统链霉菌NCIM 2418生产新霉素进行了优化。响应面法是一种综合应用于固态发酵工艺优化的强大数学方法。在第一步优化中,采用Placket-Burman设计,确定了氯化铵、硝酸钠、l -组氨酸和硝酸铵是影响新霉素产量的关键营养因子。第二步,采用2(4)全因子中心组合设计和RSM来确定显著变量的最佳浓度。通过对实验数据的多元回归分析,确定了一个二阶多项式。得到的重要营养物质的最适用量为:氯化铵2.00%、硝酸钠1.50%、l -组氨酸0.250%、硝酸铵0.250%,预计最大新霉素产量为2万g kg(-1)干椰子油饼。在此条件下,实际新霉素产量为19642 g kg(-1)干椰子油饼。决定系数(R(2))为0.9232,保证了模型的可接受性。
Optimization of Medium Composition for the Production of Neomycin by Streptomyces fradiae NCIM 2418 in Solid State Fermentation.
Neomycin production of Streptomyces fradiae NCIM 2418 was optimized by using response surface methodology (RSM), which is powerful mathematical approach comprehensively applied in the optimization of solid state fermentation processes. In the first step of optimization, with Placket-Burman design, ammonium chloride, sodium nitrate, L-histidine, and ammonium nitrate were established to be the crucial nutritional factors affecting neomycin production significantly. In the second step, a 2(4) full factorial central composite design and RSM were applied to determine the optimal concentration of significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the important nutrients for the maximum were obtained as follows: ammonium chloride 2.00%, sodium nitrate 1.50%, L-histidine 0.250%, and ammonium nitrate 0.250% with a predicted value of maximum neomycin production of 20,000 g kg(-1) dry coconut oil cake. Under the optimal condition, the practical neomycin production was 19,642 g kg(-1) dry coconut oil cake. The determination coefficient (R (2)) was 0.9232, which ensures an acceptable admissibility of the model.