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Analysis of variance (ANOVA) for the quadratic response surface model for prodigiosin production by Serratia marcescens Source DF Adj SS Adj MS F-Value P-Value
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Serratia marcescens commonly synthesize a red pigment known as prodigiosin. Prodigiosin is considered a promising pharmaceutical due to its documented properties of having antimicrobial, anticancer, and immunosuppressive effects. This investigation involved the isolation of Serratia marcescens, a bacterium capable of producing prodigiosin, from gre...
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Context 1
... analysis of variance (ANOVA) was conducted to assess the significance and adequacy of the regression model. The results (Table 4) indicated that the regression model was statistically significant (p = 0.019) The lack of significance (P > 0.05) in the lack of fit test suggests that the model is suitable for achieving optimal prodigiosin synthesis by the organism as shown in Table 4. The impact of the variables on prodigiosin production demonstrated that only the inoculum size had a statistically significant effect on biosurfactant production (p < 0.05), while the other variable levels did not have a significant influence on the observed responses (Table 4). ...Context 2
... analysis of variance (ANOVA) was conducted to assess the significance and adequacy of the regression model. The results (Table 4) indicated that the regression model was statistically significant (p = 0.019) The lack of significance (P > 0.05) in the lack of fit test suggests that the model is suitable for achieving optimal prodigiosin synthesis by the organism as shown in Table 4. The impact of the variables on prodigiosin production demonstrated that only the inoculum size had a statistically significant effect on biosurfactant production (p < 0.05), while the other variable levels did not have a significant influence on the observed responses (Table 4). ...Context 3
... results (Table 4) indicated that the regression model was statistically significant (p = 0.019) The lack of significance (P > 0.05) in the lack of fit test suggests that the model is suitable for achieving optimal prodigiosin synthesis by the organism as shown in Table 4. The impact of the variables on prodigiosin production demonstrated that only the inoculum size had a statistically significant effect on biosurfactant production (p < 0.05), while the other variable levels did not have a significant influence on the observed responses (Table 4). The model's fit was assessed based on the regression coefficient (R 2 ) value, which was 72.38%. ...