rofiq sunaryanto - OPTIMIZING FERMENTATION MEDIUM TO PRODUCE CYCLOSPORIN A USING RESPONSE SURFACE METHODOLOGY

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      Publication Details (including relevant citation   information):

        MAKARA Journal of Technology Series, Vol 16, No 1 (2012)

      Abstract:

      Response surface methodology (RSM) is a three factorial model   which illustrates the relationship between one or more   independent variables. RSM can be used to optimize the   fermentation medium for the production of Cyclosporin A from the   isolate Tolypocladium inflatum. The optimal point of the response   surface area is predicted by using a second-degree polynomial   model and applying the statistic model obtained from the central   composite design (CCD). The results of optimizing the   fermentation medium for Cyclopsorin using the three independent   variables of glucose, casein, and KH2PO4 show that all three of   the independent variables affect the production of Cyclosporin A.   There is a positive interaction between the independent variables   of glucose and casein, however, there is no visible interaction   between glucose with KH2PO4 and casein with KH2PO4. By using the   mathematical model the total optimum result obtained is 1230.5 mg   L-1, glucose concentrate 28.5 g L-1, KH2PO4 concentrate 0.74   gL-1, and casein concentrate 9.8 g L-1. Laboratory validation   shows that Cyclosporin A productivity is 1197.285 mg L-1. There   is a value difference of 2.7% between the expected productivity   of Cyclosporin A using the mathematical model and the actual   production in laboratory tests.

      Keywords: Cyclosporin A, optimization, response surface   methodology

      Address (URL): http://journal.ui.ac.id/index.php/technology/article/view/1335