title: Statistical optimization of culture conditions for bacterial cellulose production using Box-Behnken design.
abstract: Culture conditions in a jar fermentor for bacterial cellulose (BC) production from A. xylinum BPR2001 were optimized by statistical analysis using Box-Behnken design. Response surface methodology was used to predict the levels of the factors, fructose (X1), corn steep liquor (CSL) (X2), dissolved oxygen (DO) (X3), and agar concentration (X4). Total 27 experimental runs by combination of each factor were carried out in a 10-L jar fermentor, and a three-dimensional response surface was generated to determine the effect of the factors and to find out the optimum concentration of each factor for maximum BC production and BC yield. The fructose and agar concentration highly influenced the BC production and BC yield. However, the optimum conditions according to changes in CSL and DO concentrations were predicted at almost central values of tested ranges. The predicted results showed that BC production was 14.3 g/L under the condition of 4.99% fructose, 2.85% CSL, 28.33% DO, and 0.38% agar concentration. On the other hand, BC yield was predicted in 0.34 g/g under the condition of 3.63% fructose, 2.90% CSL, 31.14% DO, and 0.42% agar concentration. Under optimized culture conditions, improvement of BC production and BC yield were experimentally confirmed, which increased 76% and 57%, respectively, compared to BC production and BC yield before optimizing the culture conditions.
authors.affiliation: Chemical Resources Laboratory, Tokyo Institute of Technology, R1-29-4259 Nagatsuta, Midori-ku, Yokohama, 226-8503, Japan.
authors.forename: Sangok
authors.initials: S
authors.lastname: Bae
authors.forename: Makoto
authors.initials: M
authors.lastname: Shoda
mesh_terms: D000362:Agar / Q000378:metabolism; D000465:Algorithms; D019149:Bioreactors / Q000382:microbiology*; D018929:Cell Culture Techniques / Q000295:instrumentation / Q000379:methods*; D002482:Cellulose / Q000096:biosynthesis*; D003198:Computer Simulation; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005632:Fructose / Q000737:chemistry*; D041822:Gluconacetobacter xylinus / Q000254:growth & development* / Q000378:metabolism*; D008954:Models, Biological; D010100:Oxygen / Q000378:metabolism*; D003313:Zea mays / Q000382:microbiology
chemical_list: D005632:Fructose; D000362:Agar; D002482:Cellulose; D010100:Oxygen