Optimization and modeling of phenanthrene degradation by Mycobacterium sp. 6PY1 in a biphasic medium using response-surface methodology

被引:0
|
作者
Arwa Abdelhay
Jean-Pierre Magnin
Nicolas Gondrexon
Stéphane Baup
John Willison
机构
[1] Institut National Polytechnique de Grenoble,Laboratoire d’Electrochimie at de Physico
[2] Centre National de la Recherche Scientifique (CNRS),chimie des Matériaux et des Interfaces (LEPMI)
[3] Université Joseph Fourier,Laboratoire d’Electrochimie et de Physico
[4] IRTSV,chimie des Matériaux et des Interfaces (LEPMI)
[5] Laboratoire de Chimie et Biologie des Métaux (LCBM),Laboratoire d’Electrochimie et de Physico
来源
Applied Microbiology and Biotechnology | 2008年 / 78卷
关键词
Polycyclic aromatic hydrocarbons; Phenanthrene; Biodegradation; Biphasic culture; Design of experiments;
D O I
暂无
中图分类号
学科分类号
摘要
In the present paper, the degradation of phenanthrene, a model polycyclic aromatic hydrocarbon compound, by the Mycobacterium strain 6PY1 was optimized in a biphasic culture medium. The optimization and modeling were performed using the design of experiments methodology. The temperature, the silicone oil/mineral salts medium volume ratio, and the initial cell concentration, were used as the central composite design parameters. In all experiments, the phenanthrene was degraded to undetectable levels. Response surface methodology was successfully employed to derive an empirical model describing the rate and time of degradation and to deduce the optimal degradation conditions. As a result of the optimization processes, the optimal responses for the degradation rate, the volumetric degradation rate, and the 90% degradation time were estimated to be 0.172 mg h−1, 22 mg l−1 h−1, and 18 h, respectively.
引用
收藏
页码:881 / 888
页数:7
相关论文
共 50 条
  • [1] Optimization and modeling of phenanthrene degradation by Mycobacterium sp 6PY1 in a biphasic medium using response-surface methodology
    Abdelhay, Arwa
    Magnin, Jean-Pierre
    Gondrexon, Nicolas
    Baup, Stephane
    Willison, John
    APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2008, 78 (05) : 881 - 888
  • [2] Optimization of lipids’ ultrasonic extraction and production from Chlorella sp. using response-surface methodology
    Bilel Hadrich
    Ismahen Akremi
    Mouna Dammak
    Mohamed Barkallah
    Imen Fendri
    Slim Abdelkafi
    Lipids in Health and Disease, 17
  • [3] Optimization of Medium Using Response Surface Methodology for Lipid Production by Scenedesmus sp.
    Yang, Fangfang
    Long, Lijuan
    Sun, Xiumei
    Wu, Hualian
    Li, Tao
    Xiang, Wenzhou
    MARINE DRUGS, 2014, 12 (03) : 1245 - 1257
  • [4] OPTIMIZATION OF A CULTURE-MEDIUM FOR STREPTOMYCIN PRODUCTION USING RESPONSE-SURFACE METHODOLOGY
    SAVAL, S
    PABLOS, L
    SANCHEZ, S
    BIORESOURCE TECHNOLOGY, 1993, 43 (01) : 19 - 25
  • [5] Optimization of Fermentation Culture Medium for Sanghuangporus alpinus Using Response-Surface Methodology
    Gao, Yuhan
    Li, Xiaomin
    Xu, Hui
    Sun, Huijuan
    Zhang, Junli
    Wu, Xiaoping
    Fu, Junsheng
    HORTICULTURAE, 2024, 10 (05)
  • [6] Medium Optimization of Tetraselmis sp.-1 Using Response Surface Methodology
    沈继红
    High Technology Letters, 2003, (02) : 27 - 30
  • [7] Medium Optimization for the Production of Lipidless Biomass By Cunninghamella sp. 2A1 Using Response Surface Methodology
    Aminah, Siti S.
    Aidil, A. H.
    Mohtar, Wan W. Y.
    MALAYSIAN JOURNAL OF MICROBIOLOGY, 2006, 2 (01) : 40 - 45
  • [8] Optimization of medium for decolorization of Congo red by Enterobacter sp. SXCR using response surface methodology
    Prasad, Shiv Shankar
    Aikat, Kaustav
    DESALINATION AND WATER TREATMENT, 2014, 52 (31-33) : 6166 - 6174
  • [9] Optimization of Medium for Carotenoids Production by Arthrobacter sp. PAMC 25486 Using Response Surface Methodology
    Kim, Hyun-do
    Choi, Jong-il
    Han, Se Jong
    KOREAN CHEMICAL ENGINEERING RESEARCH, 2014, 52 (06): : 834 - 839
  • [10] Original Optimization of carbofuran insecticide degradation by Enterobacter sp. using response surface methodology (RSM)
    Mustapha, Mohammed Umar
    Halimoon, Normala
    Johari, Wan Lutfi W.
    Abd Shokur, Mohamed Yunus
    JOURNAL OF KING SAUD UNIVERSITY SCIENCE, 2020, 32 (03) : 2254 - 2262