title: Optimization of medium composition for cis,cis-muconic acid production by a Pseudomonas sp. mutant using statistical methods.
abstract: cis,cis-Muconic acid (CCMA) is used as a platform chemical for the production of several high-value compounds. For this article, an optimization strategy has been used to optimize medium composition for CCMA production from fairly cheap benzoate by Pseudomonas sp. 1167. The effect of different concentrations of medium components on CCMA production was studied. CCMA yields obtained from Plackett-Burman design (PBD) showed wide variation (3.95-5.87 g/L), and the first-order model indicated that (NH(4))(2)SO(4) (P < 0.01) and K(2)HPO(4) · 3H(2)O (P < 0.02) were the significant components for CCMA production. Then the optimization was performed by steepest ascent design (SAD) and central composite design (CCD), and a validation experiment was conducted to verify the predicted value. The optimal medium composition was: 12 g/L sodium benzoate, 2.5 g/L sodium succinate, 0.7932 g/L (NH(4))(2)SO(4), 1.5612 g/L K(2)HPO(4) · 3H(2)O, 1.2 g/L MgSO(4) · 7H(2)O, 0.4 g/L yeast extract, 0.08 g/L FeCl(3) · 6H(2)O, and 0.08 g/L ethylenediamine tetraacetic acid (EDTA). Under these conditions, a maximum of 7.18 g/L CCMA was produced per 12 g/L benzoate with a highly efficient process within 11 hr and a molecular conversion yield of 61%. Altogether, our results provide valuable insights into nutritional supplementation of CCMA production by using statistical methods, which may benefit a cost-competitive industrial fed-batch fermentation process using a cheap substrate.
authors: a National Engineering Research Center for Non-food Biorefinery, Guangxi Academy of Sciences , Nanning , China.
authors: Neng-Zhong
authors: NZ
authors: Xie
authors: Qing-Yan
authors: QY
authors: Wang
authors: Qi-Xia
authors: QX
authors: Zhu
authors: Yan
authors: Y
authors: Qin
authors: Fei
authors: F
authors: Tao
authors: Ri-Bo
authors: RB
authors: Huang
authors: Ping
authors: P
authors: Xu
mesh_terms: D001565:Benzoates / Q000378:metabolism; D003198:Computer Simulation; D003470:Culture Media / Q000378:metabolism; D005285:Fermentation; D007218:Industrial Microbiology / Q000379:methods; D008954:Models, Biological; D015233:Models, Statistical; D009154:Mutation; D011549:Pseudomonas / Q000235:genetics / Q000378:metabolism*; D013011:Sorbic Acid / Q000031:analogs & derivatives* / Q000032:analysis / Q000378:metabolism
chemical_list: D001565:Benzoates; D003470:Culture Media; C005939:muconic acid; D013011:Sorbic Acid