• 제목/요약/키워드: Biokinetic Coefficient

검색결과 3건 처리시간 0.015초

활성슬러지공정에서 페놀이 2,4-디클로로페놀과 2,4-디니트로페놀을 함유한 복합페놀폐수의 미생물분해계수에 미치는 영향 (The Effects of Phenol on Biokinetic Coefficient of Multiple Phenol Derivatives of 2,4-Dichlorophenol and 2,4-Dinitrophenol in Activated Sludge Process)

  • 임계규
    • 공업화학
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    • 제10권3호
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    • pp.349-353
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    • 1999
  • 페놀성 산업폐수중 2,4-dichlorophenol과 2,4-dinitrophenol를 함유한 폐수에 대해서 phenol이 활성슬러지공법에서 이 두 물질의 미생물 분해와 활성슬러지공정에 대한 Eckenfelder 수정모델의 미생물분해계수 (biodegradation kinetic coefficient)에 미치는 영향을 연구실험하였다. 미생물 성장에 필요한 에너지원과 필수영양물질 (base mix. BM)을 함유한 폐수를 분해하고 있는 활성슬러지 시스템에 2,4-dichlorophenol과 2,4-dinitrophenol를 함유한 폐수를 유입시켰을 때 이 활성슬러지 시스템은 서서히 죽어갔고 미생물들이 다 씻겨 나갔다. 반면에 페놀에 먼저 순화되어 있는 활성슬러지 시스템에 2,4-dichlorophenol과 2,4-dichlrophenol을 함유한 폐수를 phenol과 함께 유입하였을 때는 분해가 잘 되었고, 분해효율은 $BOD_5$ 기준으로 91.9%에 달했다. 그리고 phenol, 2,4-dichlorophenol 및 2,4-dinitrophenol의 처리효율은 각각 99.8%, 43.3% 및 62.5%였다. 같은 반응조에 연이어서 유입한 에너지원과 필수 영양물질의 추가공급은 처리효율을 상당히 증가시켜 처리수 중의 phenol, 2,4-dichlorophenol 및 2,4-dinitrophenol 농도를 현저히 감소시켰다. 이러한 효과는 페놀에 의해 순화되어 있는 미생물이 BM의 추가공급으로 활성도가 증가되어 분해효율이 증가되었다고 본다. 페놀에 대한 미생물의 순화과정 없이 실험하였을 때는 정상상태를 유지할 수 없었기 때문에 그 결과로부터는 Eckenfelder 수정모델의 미생물분해계수의 값을 구할 수가 없없다. 순화과정을 거친 경우의 미생물분해계수는 12.44/day이었고, 추가적인 $BM\;47mg/l(BOD_5)$의 첨가에 의해서는 46.91/day로 증가되었다. 이러한 값들은 공정설계시에 설계값으로 사용될 수 있고 다른 벤젠유도체의 미생물분해연구에 기초자료로도 활용 될 수 있을 것이다.

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Biokinetics of Protein Degrading Clostridium cadaveris and Clostridium sporogenes in Batch and Continuous Mode of Operations

  • Koo, Taewoan;Jannat, Md Abu Hanifa;Hwang, Seokhwan
    • Journal of Microbiology and Biotechnology
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    • 제30권4호
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    • pp.533-539
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    • 2020
  • A quantitative real-time polymerase chain reaction (QPCR) was applied to estimate biokinetic coefficients of Clostridium cadaveris and Clostridium sporogenes, which utilize protein as carbon source. Experimental data on changes in peptone concentration and 16S rRNA gene copy numbers of C. cadaveris and C. sporogenes were fitted to model. The fourth-order Runge-Kutta approximation with non-linear least squares analysis was employed to solve the ordinary differential equations to estimate biokinetic coefficients. The maximum specific growth rate (μmax), half-saturation concentration (Ks), growth yield (Y), and decay coefficient (Kd) of C. cadaveris and C.sporogenes were 0.73 ± 0.05 and 1.35 ± 0.32 h-1, 6.07 ± 1.52 and 5.67 ± 1.53 g/l, 2.25 ± 0.75 × 1010 and 7.92 ± 3.71 × 109 copies/g, 0.002 ± 0.003 and 0.002 ± 0.001 h-1, respectively. The theoretical specific growth rate of C. sporogenes always exceeded that of C. cadaveris at peptone concentration higher than 3.62 g/l. When the influent peptone concentration was 5.0 g/l, the concentration of C.cadaveris gradually decreased to the steady value of 2.9 × 1010 copies/ml at 4 h Hydraulic retention time (HRT), which indicates a 67.1% reduction of the initial population, but the wash out occurred at HRTs of 1.9 and 3.2 h. The 16S rRNA gene copy numbers of C. sporogenes gradually decreased to steady values ranging from 1.1 × 1010 to 2.9 × 1010 copies/ml. C. sporogenes species was predicted to wash out at an HRT of 1.6 h.

Optimization and kinetic modeling for bioconversion of cheese whey to Ganoderma lucidum in batch fermentations

  • 송민경;이환영;황석환
    • 한국생물공학회:학술대회논문집
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    • 한국생물공학회 2002년도 생물공학의 동향 (X)
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    • pp.381-384
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    • 2002
  • Response surface methodology (RSM) was successfully applied to optimize for the production of Ganoderma lucidum in batch fermentations using the whey (40,000 mg latose/L) as substrate. This study was performed according to the central composite design (CCD) with respect to pH and temperature, where the designed intervals were 3.3$22.9^{\circ}C$$37.1^{\circ}C$, respectively. A second-order factorial design of the experiments was used to build empirical models providing a quantitative interpretation of the relationships between the two variables. The optimum conditions to maximize the production of G. lucidum were pH 4.2 and $28.3^{\circ}C$. At optimum conditions, the mycelial dry weight (MDW) and residual soluble COD (SCOD) were simultaneously used to evaluate the biokinetic coefficients assocoated with substrate inhibition model by nonlinear least squares method with 95% confidence interval. The. maximum microbial growth rates (${\mu}m$), half saturation coefficient ($K_s$), and the inhibition substrate concentration ($K_{is}$) were determined to be 0.095 l/hr, 128,000 mg SCOD/L and 49,000 mg SCOD/L, respectively. And the microbial yield coefficient (Y), biomass decay rate coefficient ($K_d$), and the maintenance energy coefficient ($m_s$) were determined to be 0.37 mg MDW/mg SCOD, 0.001 1/hr, and 0.0015 1/hr, respectively.

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