Research Article
Factorial Design to Optimize Biosurfactant Production by Yarrowia lipolytica
Table 4
Experimental design and results of the 24 full factorial design for carbon source analyses.
| Run | | | | | | |
| 1 | | | | | 9.0 | 6.9 | 2 | | | | | 19.5 | 62.3 | 3 | | | | | 2.0 | 11.6 | 4 | | | | | 11.0 | 25.5 | 5 | | | | | 2.6 | 12.8 | 6 | | | | | 10.7 | 70.2 | 7 | | | | | 2.0 | 27.5 | 8 | | | | | 9.9 | 39.3 | 9 | | | | | 27.8 | 56.2 | 10 | | | | | 20.2 | 82.9 | 11 | | | | | 14.4 | 48.8 | 12 | | | | | 14.8 | 40.0 | 13 | | | | | 14.9 | 47.3 | 14 | | | | | 12.6 | 76.8 | 15 | | | | | 14.4 | 38.9 | 16 | | | | | 13.0 | 26.0 | 17 | 0 | 0 | 0 | 0 | 10.9 | 42.3 | 18 | 0 | 0 | 0 | 0 | 9.8 | 43.1 | 19 | 0 | 0 | 0 | 0 | 11.2 | 43.9 |
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The coded variables ( = 1, 2, 3, 4) are defined in Table 2. Variation in surface tension (mN ), Emulsification index (%).
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