Optimization of phenol degradation by Candida tropicalis Z-04 using Plackett-Burman design and response surface methodology

Journal of Environmental Sciences

Volumn 23, Issue 1, 2011, Pages 22-30

  Zhou, Jiangya ^a   Yu, Xiaojuan ^a   Ding, Cong ^a   Wang, Zhiping ^a   Zhou, Qianqian ^a   Pao, Hao ^a   Cai, Weimin ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Candida tropicalis Z 04; Optimization; Phenol degradation; Plackett Burman design; Response surface methodology

Indexed keywords

ANALYSIS RESULTS; CANDIDA TROPICALIS; CENTRAL COMPOSITE DESIGNS; EXPERIMENTAL VALUES; HIGH-STRENGTH; INOCULUM SIZE; MUTUAL INTERACTION; OPTIMAL CONDITIONS; OPTIMAL REGIONS; OPTIMAL VALUES; OPTIMUM CONDITIONS; OPTIMUM STRATEGY; PHENOL DEGRADATION; PHENOL-DEGRADING AEROBIC GRANULES; PLACKETT-BURMAN DESIGNS; REMOVAL EFFICIENCIES; RESPONSE SURFACE ANALYSIS; RESPONSE SURFACE METHODOLOGY; SIGNIFICANT FACTORS; STATISTICAL EXPERIMENTAL DESIGN; STEEPEST ASCENT METHOD; YEAST EXTRACTS;

DEGRADATION; DESIGN; EXPERIMENTS; OPTIMIZATION; PHENOLS; REMOVAL; SURFACE ANALYSIS; SURFACE PROPERTIES; YEAST;

BIODEGRADATION;

PHENOL;

BIODEGRADATION; CONCENTRATION (COMPOSITION); EFFICIENCY MEASUREMENT; EXPERIMENTAL DESIGN; INOCULATION; OPTIMIZATION; PHENOL; YEAST;

ANALYSIS OF VARIANCE; ARTICLE; BIOREMEDIATION; CANDIDA TROPICALIS; ECOSYSTEM RESTORATION; METABOLISM; METHODOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY;

ANALYSIS OF VARIANCE; BIODEGRADATION, ENVIRONMENTAL; CANDIDA TROPICALIS; ENVIRONMENTAL REMEDIATION; PHENOL; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS;

CANDIDA TROPICALIS;

EID: 78651062596     PISSN: 10010742     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1001-0742(10)60369-5     Document Type: Article

References (32)

1. Abdel-Fattah YR, Saeed HM, Gohar YM, El-Baz MA Improved production of Pseudomonas aeruginosa uricase by optimization of process parameters through statistical experimental designs. Process Biochemistry 2005, 40(5):1707-1714.
2. Agarry SE, Solomon BO Kinetics of batch microbial degradation of phenols by indigenous Pseudomonas fluorescence. International Journal of Environmental Science and Technology 2008, 5(2):223-232.
3. Agarry SE, Solomon BO, Layokun SK Optimization of process variables for the microbial degradation of phenol by Pseudomonas aeruginosa using response surface methodology. African Journal of Biotechnology 2008, 7(14):2409-2416.
4. Alper N, Beste Y Modelling of phenol removal in a batch reactor. Process Biochemistry 2005, 40(3-4):1233-1239.
5. Annadurai G, Ling LY, Lee JF Statistical optimization of medium components and growth conditions by response surface methodology to enhance phenol degradation by Pseudomonas putida. Journal of Hazardous Materials 2008, 151(1):171-178.
6. APHA (American Public Health Association), 1998. Standard Methods for the Examination of Water and Wastewater (20th ed.). Washington DC, USA.
7. Arutchelvan V, Kanakasabai V, Elangovan R, Nagarajan S, Muralikrishnan V Kinetics of high strength phenol degradation using Bacillus brevis. Journal of Hazardous Materials 2006, 129(1-3):216-222.
8. Bandyopadhyay K, Das D, Maiti BR Kinetics of phenol degradation using Pseudomonas putida MTCC 1194. Bio-process and Biosystems Engineering 1998, 18(5):373-377.
9. Chen XC, Bai JX, Cao JM, Li ZJ, Xiong J, Zhang L, et al. Medium optimization for the production of cyclic adenosine 3′,5′-monophosphate by microbacterium sp. no. 205 using response surface methodology. Bioresource Technology 2009, 100(2):919-924.
10. Francis F, Sabu A, Nampoothiri KM, Ramachandran S, Ghosh S, Szakacs G, et al. Use of response surface methodology for optimizing process parameters for the production of a-amylase by Aspergillus oryzae. Biochemical Engineering Journal 2003, 15(2):107-115.
11. Gattrell M, Kirk DW The electrochemical oxidation of aqueous phenol at a glassy-carbon electrode. The Canadian Journal of Chemical Engineering 1990, 68(6):997-1013.
12. Ghanem KM, Al-Garni SM, Al-Shehri AN Statistical optimization of cultural conditions by response surface methodology for phenol degradation by a novel Aspergillus flavus isolate. African Journal of Biotechnology 2009, 8(15):3576-3583.
13. Gheshlaghi R, Scharer JM, Moo-Young M, Douglas PL Medium optimization for hen egg white lysozyme production by recombinant Aspergillus niger using statistical methods. Biotechnology and Bioengineering 2005, 90(6):754-760.
14. Grady C Biodegradation: its measurements and microbiological basis. Biotechnology and bioengineering 1984, 27(5):660-674.
15. He YQ, Tan TW Use of response surface methodology to optimize culture medium for production of lipase with Candida sp. 99-125. Journal of Molecular Catalysis B: Enzymatic 2006, 43(1-4):9-14.
16. Ho KL, Lin B, Chen YY, Lee DJ Biodegradation of phenol using Corynebacterium sp DJ1 aerobic granules. Bioresource Technology 2009, 100(21):5051-5055.
17. Imandi SB, Bandaru VV, Somalanka SR, Bandaru SR, Garapati HR Application of statistical experimental designs for the optimization of medium constituents for the production of citric acid from pineapple waste. Bioresource Technology 2008, 99(10):4445-4450.
18. Kennedy M, Krouse D Strategies for improving fermentation mediumperformance: A review. Journal of Industrial Microbiology and Biotechnology 1999, 23(6):456-475.
19. Kobayashi H, Rittmann BE Microbial removal of hazardous organic compounds. Environmental Science and Technology 1982, 16(3):170-183.
20. Korbahti BK, Salih B, Tanyolac A Electrochemical conversion of phenolic wastewater on carbon electrodes in the presence of NaCl. Journal of Chemical Technology and Biotechnology 2002, 77(1):70-77.
21. Krug M, Straube G Degradation of phenolic compounds by the yeast Candida tropicalis HP 15.11. Some properties of the first two enzymes of the degradation pathway. Journal of Basic Microbiology 1986, 26(5):271-281.
22. Lob KC, Tar CPP Effect of additional carbon sources on biodegradation of phenol. Bulletin of Environmental Contamination and Toxicology 2000, 64(6):756-763.
23. Mohana S, Shrivastava S, Divecha J, Madamwar D Response surface methodology for optimization of medium for decolorization of textile dye Direct Black 22 by a novel bacterial consortium. Bioresource Technology 2008, 99(3):562-569.
24. Pistonesi MF, Nezio MSD, Centurion ME, Palomeque ME, Lista AG, Band BSF Determination of phenol, resorcinol and hydroquinone in air samples by synchronous fluorescence using partial least-squares (PLS). Talanta 2006, 69(5):1265-1268.
25. Plackett RL, Burman JP The design of optimum multi-factorial experiments. Biometrika 1946, 33(4):305-325.
26. Prpich PG, Daugulis AG Enhanced biodegradation of phenol by a microbial consortium in a solid-liquid two-phase partitioning bioreactor. Biodegradation 2005, 16(4):329-339.
27. Saravanan P, Pakshirajan K, Saha P Growth kinetics of an indigenous mixed microbial consortium during phenol degradation in a batch reactor. Bioresource Technology 2008, 99(1):205-209.
28. Saravanan P, Pakshirajan K, Saha P Biodegradation of phenol and m-cresol in a batch and fed batch operated internal loop airlift bioreactor by indigenous mixed micro-bial culture predominantly Pseudomonas sp. Bioresource Technology 2008, 99(18):8553-8558.
29. Stanbury PF, Whitaker A, Hall SJ Media for industrial fermentations. Principles of Fermentation Technology 1986, 93-122. Pergamon Press, Oxford.
30. Tang XJ, He GQ, Chen QH, Zhang XY, Ali MAM Medium optimization for the production of thermal stable β-glucanase by Bacillus subtilis ZJF-1A5 using response surface methodology. Bioresource Technology 2004, 93(2):175-181.
31. US EPA (Environmental Protection Agency) Phenol Ambient Water Quality Criteria 1979, Office of Planning and Standards, Washington DC, USA.
32. Yang RD, Humphrey AE Dynamic and steady state studies of phenol biodegradation in pure and mixed cultures. Biotechnology and Bioengineering 1975, 17(8):1211-1235.