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Microbial Degradation of PolycyclicAromatic Hydrocarbons in Soil byBacterium-Fungus Co-cultures
이철균,김정동 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.4
Two fungi and the phenanthrene-degrading bacterial strain Rhodococcus sp. IC10 were used as inocula for the bioremediation of petroleum hydrocarbon-contaminated soil from a manufactured gas plant area. The two fungi, which were previously isolated from different hydrocarbon-contaminated soil samples, were identified as Aspergillus terreus and Penicillium sp. In addition, two types of co-cultures which consist of fungal species including A. terreus or Penicillium sp. with Rhodococcus sp. IC10 were applied. After a 10-week incubation period, the concentrations of anthracene, phenanthrene, and pyrene were totally biodegraded by days 68, 54, and 64, for the 16 polycyclic aromatic hydrocarbons (PAH’s) tested. The ecotoxicity of the soil after bioremediation did not show any effect on the survival of Daphnia magna (24 h-old-daphnids). However, the toxicity on seed germination of Brassica alba and the oxidoreductase activity of Bacillus cereus declined after 5- and 10-weeks of incubation, respectively. Co-cultures of Penicillium sp. and Rhodococcus sp. IC10 revealed the best efficiency at reducing ecotoxicity.
FEA–Based Optimal Design of Permanent Magnet DC Motor Using Internet Distributed Computing
이철균,최홍순 한국전기전자학회 2009 전기전자학회논문지 Vol.13 No.3
The computation time of FEA(finite element analysis) for one model may range from a few seconds up to several hours according to the complexity of the simulated model. If these FEA is used to calculate the objective and the constraint functions during the optimal solution search, it causes very excessive execution time. To resolve this problem, the distributed computing technique using internet web service is proposed in this paper. And the dynamic load balancing mechanisms are established to advance the performance of distributed computing. To verify its validity, this method is applied to a traditional mathematical optimization problem. And the proposed FEA-based optimization using internet distributed computing is applied to the optimal design of the permanent magnet dc motor(PMDCM) for automotive application.
유전자 재조합 세포 발효의 온.라인 유도 : 제 3부. 조건 최적화 및 콤퓨터 자동 제어
이철균,최차용 한국생물공학회 1989 KSBB Journal Vol.4 No.3
필드 하드웨어와 소프트웨어를 자체 개발하고 컴퓨터 인터페이싱을 수행하여 유전 재조합세포 발효 공정을 온.라인으로 휘드.백 및 휘드.포워드 식 자동제어 할 수 있었다. 유전자 재조합 세포들이 발현을 위하여 온도 유도 및 화학약품 유도 방법을 사용하였다. 빠르고 안정된 반응을 보이고 정확한 자동 제어를 수행할 수 있었다. The computer interfaced by the necessary hardwares and the software developed in PARTs I and II were used to control the fermentation with recombinant cells in an on-line feedback-feed-forward manner. The recombinant cells were induced for expression either thermally or chemically. Very accurate controls with fast response and no oscillation could be performed.
광합성 미세조류 Haematococcus lacustris로부터 추출한 아스탁산틴 (astaxanthin)의 고정화
이철균,박제권 한국키틴키토산학회 2008 한국키틴키토산학회지 Vol.17 No.1
Ubiquitous photosynthetic microalgae, Haematococcus lacustris, is believed to be the organism which can accumulate the highest levels of astaxanthin cultured under the stress conditions. In the present study our research aim is to establish the best condition for the immobilization of astaxanthin onto a matrix, chitosan. In order to optimize the condition for the immobilization of astaxanthin, cells were crushed using a mortar and extracted using ice-cold deionized water with small contents of ethanol. Cell extractants were immobilized by adsorption in physically onto chitosan, a natural polymer, for the immobilization of astaxanthin. A complex of chitosan and astaxanthin can be used as high-value of unique biomaterials in various fields such as in medical science, pharmaceutical, food, food or feed additives.
Evaluation of Central Metabolism Based on a Genomic Database of Synechocystis PCC6803
이철균,홍성주 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.2
Cyanobacteria produce industrially important secondary metabolites such as lipopeptide, oligosaccharide, fatty acid (esp. sulfolipid), etc. Among them, Synechocystis PCC6803 is the first strain with a publicly available full genome sequence, as of 1996, and is one of the most extensively studied photosynthetic microorganisms. Using this genomic information, the central metabolism of Synechocystis PCC6803 was reconstructed, including photosynthesis, oxidative phosphorylation, glycolysis, pyruvate metabolism, TCA cycle, carbon fixation, and transport system. Each biochemical reaction was carefully incorporated into the model, taking into consideration the metabolite formula, stoichiometry, charge balance, and thermodynamic properties using information from genomic and metabolic databases as well as biochemical literature. The metabolic flux of the model was calculated using flux balance analysis according to its cultivation with various carbon sources. The results of simulation were in accordance with experimental data, which suggests that the central metabolism model can properly estimate the behavior of Synechocystis PCC6803. This model would aid in the understanding of the whole cell metabolism of Synechocystis PCC6803, the first effort of its kind for photosynthetic bacteria.