Research Article

Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition

Table 3

ANOVA tables showing the regression model on abiomass concentration, blipid yield, and clipid productivity.

SourceSum of squaresDFMean squares valueProb >

Biomass concentrationa
Model115.55912.8414.200.0003Significant
(glucose)37.52137.5241.490.0001
(yeast extract)12.12112.1213.410.0052
(NaNO3)6.0916.096.730.0290
1.9111.912.110.1804
2.4512.452.700.1345
55.43155.4361.30<0.0001
0.0510.050.060.8117
2.1612.162.390.1563
1.9011.902.100.1810
Residual8.1490.90
Lack of Fit6.2151.242.570.1907Not significant
Pure Error1.9340.48
Cor Total123.6918

Lipid yieldb
Model38640.6294293.4022.14<0.0001Significant
(glucose)1454.2211454.227.500.0229
(yeast extract)168.751168.750.870.3752
(NaNO3)27.36127.360.140.7159
12340.99112340.9963.65<0.0001
20415.60120415.60105.30<0.0001
13070.60113070.6067.41<0.0001
189.901189.900.980.3482
1128.4611128.465.820.0391
4.8314.830.020.8781
Residual1744.999193.89
Lack of Fit942.455188.490.940.5391Not significant
Pure Error802.534200.63
Cor Total40385.6118

Lipid productivityc
Model48411.8295379.0964.82<0.0001Significant
(glucose)160.431160.431.930.1978
(yeast extract)80.03180.030.960.3518
(NaNO3)163.341163.341.970.1942
14549.79114549.79175.32<0.0001
19719.16119719.16237.61<0.0001
26767.04126767.04322.53<0.0001
133.841133.841.610.2360
190.051190.052.290.1645
136.061136.061.640.2324
Residual746.92982.99
Lack of Fit448.49589.701.200.4416Not significant
Pure Error298.43474.61
Cor Total49158.7418