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. 2012 Oct 3;2012:626137. doi: 10.1155/2012/626137

Table 3.

The Box-Behnken design of RSM for the optimization of succinic acid production by A. succinogenes ATCC 55618.

Run Glucose (g L−1) Yeast extract (g L−1) MgCO3 (g L−1) OD660 Succinic acid production (g L−1)
1 70 (−1)a 10 (0) 50 (−1) 6.0 ± 0.7c 38.9 ± 1.3
2 90 (1) 10 (0) 50 (−1) 5.5 ± 0.8 40.3 ± 0.7
3 70 (−1) 10 (0) 70 (1) 0.6 ± 0.1 43.2 ± 5.5
4 90 (1) 10 (0) 70 (1) 5.7 ± 0.4 45.8 ± 0.9
5 70 (−1) 5 (−1) 60 (0) 1.3 ± 0.6 37.0 ± 2.5
6 90 (1) 5 (−1) 60 (0) 1.0 ± 0.8 38.1 ± 4.0
7 70 (−1) 15 (1) 60 (0) 8.0 ± 0.2 45.8 ± 1.3
8 90 (1) 15 (1) 60 (0) 7.8 ± 0.6 50.9 ± 0.7
9 80 (0) 5 (−1) 50 (−1) 0.8 ± 0.6 35.1 ± 1.7
10 80 (0) 5 (−1) 70 (1) 0.5 ± 0.1 34.8 ± 1.1
11 80 (0) 15 (1) 50 (−1) 8.3 ± 0.2 41.5 ± 2.6
12 80 (0) 15 (1) 70 (1) 6.2 ± 0.2 50.7 ± 0.8
13b 80 (0) 10 (0) 60 (0) 6.5 ± 1.0 49.6 ± 1.0
14b 80 (0) 10 (0) 60 (0) 5.8 ± 0.1 50.2 ± 1.5
15b 80 (0) 10 (0) 60 (0) 5.9 ± 0.1 49.0 ± 3.5

aReal values of independent variables and the corresponding coded level.

bRuns 13–15 were three replications.

cFor each trial, the dynamic profile of the succinic acid production was monitored. Multiple flasks were run at the same time, and three flasks were taken at each sampling point. Each data point was expressed by an average with an error bar (i.e., standard error from three independent samples).