• 한국지하수토양환경학회지:지하수토양환경
• /
• 제21권5호
• /
• pp.8-15
• /
• 2016

Bioremediation, which uses microbes to degrade most organic pollutants in soil and groundwater, can be used in solving environmental issues in various polluted sites. In this research, a wind-driven bioventing system is built to degrade about 20,000 mg/kg of high concentration diesel pollutants in soil-pollution mode. The wind-driven bioventing test was proceeded by the bioaugmentation method, and the indigenous microbes used were Bacillus cereus, Achromobacter xylosoxidans, and Pseudomonas putida. The phenomenon of two-stage diesel degradation of different rates was noted in the test. In order to interpret the results of the mode test, three microbes were used to degrade diesel pollutants of same high concentration in separated aerated batch-mixing vessels. The data derived thereof was input into the Haldane equation and calculated by non-linear regression analysis and trial-and-error methods to establish the kinetic parameters of these three microbes in bioventing diesel degradation. The results show that in the derivation of μ_m (maximum specific growth rate) in biodegradation kinetics parameters, K_s (half-saturation constant) for diesel substance affinity, and K_i (inhibition coefficient) for the adaptability of high concentration diesel degradation. The K_s is the lowest in the trend of the first stage degradation of Bacillus cereus in a high diesel concentration, whereas K_i is the highest, denoting that Bacillus cereus has the best adaptability in a high diesel concentration and is the most efficient in diesel substance affinity. All three microbes have a degradation rate of over 50% with regards to Pristane and Phytane, which are branched alkanes and the most important biological markers.

• Environmental Engineering Research
• /
• 제15권4호
• /
• pp.183-190
• /
• 2010

Biogenic Mn oxides are expected to have great potential in the control of water pollution due to their high catalytic activity, although information on biological Mn oxidation is not currently sufficient. In this study, the growth of a Mn oxidizing microorganism, Pseudomonas putida MnB1, was examined, with the Mn oxides formed by this strain characterized. The growth of P. putida MnB1 was not significantly influenced by Mn(II), but showed a slightly decreased growth rate in the presence of Pb(II) and EE2, indicating their insignificant adsorption onto the cell surface. Mn oxides were formed by P. putida MnB1, but the liquid growth medium and resulting biogenic solids were poorly crystalline, nano-sized particles. Biogenic Mn oxidation by P. putida MnB1 followed Michaelis-Menten kinetics, with stoichiometric amounts of Mn oxides formed, which corresponded with the initial Mn(II) concentration. However, the formation of Mn oxides was inhibited at high initial Mn(II) concentration, suggesting mass transfer obstruction of Mn(II) due to the accumulation of Mn oxides on the extracellular layer. Mn oxidation by P. putida MnB1 was very sensitive to pH and temperature, showing sharp decreases in the Mn oxidation rates outside of the optimum ranges, i.e. pH 7.43-8.22 and around 20-$26^{\circ}C$.

• Food Science and Biotechnology
• /
• 제16권2호
• /
• pp.238-242
• /
• 2007

Square root models were developed for predicting the kinetics of growth of Listeria monocytogenes in sesame leaves as a function of temperature (4, 10, or $25^{\circ}C$). At these storage temperatures, the primary growth curves fit well ($R^2=0.898$ to 0.980) to a Gompertz equation to obtain lag time (LT) and specific growth rate (SGR). The square root models for natural logarithm transformations of the LT and SGR as a function of temperature were obtained by SAS's regression analysis. As storage temperature ($4-25^{\circ}C$) decreased, LT increased and SGR decreased, respectively. Square root models were identified as appropriate secondary models for LT and SGR on the basis of most statistical indices such as coefficient determination ($R^2=0.961$ for LT, 0.988 for SGR), mean square error (MSE=0.l97 for LT, 0.005 for SGR), and accuracy factor ($A_f=1.356$ for LT, 1.251 for SGR) although the model for LT was partially not appropriate as a secondary model due to the high value of bias factor ($B_f=1.572$). In general, our secondary model supported predictions of the effects of temperature on both LT and SGR for L. monocytogenes in sesame leaves.

• 농약과학회지
• /
• 제9권3호
• /
• pp.231-236
• /
• 2005

본 연구는 생산단계의 딸기에 4가지 살균제(tolclofos-m, folpet, procymidone, triflumizole)를 수확 10일전 안전사용 기준량으로 처리한 후 잔류량을 파악하였고, 이것을 근거로 6 가지 kinetic models(first order, zero order, second order, power function model, elovich model, parabolic model)에 따른 반감기를 비교하였다. 최적의 모델로 판명된 first order kinetic model로부터 구한 반감기를 이용하여 생산단계잔류허용기준(field tolerance)을 설정, 제시하였다. 잔류분석법의 적합성 판단을 위한 회수율 실험에서는 $85.1{\sim}105.0%$ 범위를 보였으며, 4 가지 약제 모두 약제 처리 5일 후 평균 73% 이상 소실되었다. 잔류량과 시간과의 상관관계는 first order kinetic model에서 가장 높은 결정계수값을 보였으며, 이를 이용하여 산출한 반감기로 생산단계 잔류허용기준(안)을 설정하였다. 이와 같은 결과는 최적의 kinetic model로 반감기를 산출해야 한다는 이론적 근거를 제시하는 것이며, 수확 후 또는 유통 중의 잔류허용기준뿐만 아니라 생산단계에서도 허용기준을 마련하여 부적합 품목을 사전에 차단할 수 있는 기준설정의 예로서 안전 농산물 공급과 농가소득에 크게 기여할 수 있는 기초자료가 될 것이라 사료된다.

• Toxicological Research
• /
• 제6권2호
• /
• pp.205-213
• /
• 1990

The regulation of neurotoxicants has usually been based upon setting reference doses by dividing a no observed adverse effect level (NOAEL) by uncertainty factors that theoretically account for interspecies and intraspecies extraploation of experimental results in animals to humans. Recently, we have proposed a four-step alternative procedure which provides quantitative estimates of risk as a function of dose. The first step is to establish a mathematical relationship between a biological effect or biomarker and the dose of chemical administered. The second step is to determine the distribution (variability) of individual measurements of biological effects or their biomarkers about the dose response curve. The third step is to define an adverse or abnormal level of a biological effect or biomarker in an untreated population. The fourth and final step is to combine the information from the first three steps to estimate the risk (proportion of individuals exceeding on adverse or abnormal level of a biological effect or biomarker) as a function of dose. The primary purpose of this report is to enhance the certainty of the first step of this procedure by improving our understanding of the relationship between a biomarker and dose of administered chemical. Several factors which need to be considered include: 1) the pharmacokinetics of the parent chemical, 2) the target tissue concentrations of the parent chemical or its bioactivated proximate toxicant, 3) the uptake kinetics of the parent chemical or metabolite into the target cell(s) and/or membrane interactions, and 4) the interaction of the chemical or metabolite with presumed receptor site(s). Because these theoretical factors each contain a saturable step due to definitive amounts of required enzyme, reuptake or receptor site(s), a nonlinear, saturable dose-response curve would be predicted. In order to exemplify this process, effects of the neurotoxicant, methlenedioxymethamphetamine (MDMA), were reviewed and analyzed. Our results and those of others indicate that: 1) peak concentrations of MDMA and metabolites are ochieved in rat brain by 30 min and are negligible by 24 hr, 2) a metabolite of MDMA is probably responsible for its neurotoxic effects, and 3) pretreatment with monoamine uptake blockers prevents MDMA neurotoxicity. When data generated from rats administerde MDMA were plotted as bilolgical effect (decreases in hippocampal serotonin concentrations) versus dose, a saturation curve best described the observed relationship. These results support the hypothesis that at least one saturable step is involved in MDMA neurotoxicity. We conclude that the mathematical relationship between biological effect and dose of MDMA, the first step of our quantitative neurotoxicity risk assessment procedure, should reflect this biological model information generated from the whole of the dose-response curve.

• 한국수산과학회지
• /
• 제12권3호
• /
• pp.167-173
• /
• 1979

생물학적 고정막(biological fixed-film)을 이용한 REMSMAS공법이 개발되었다. REMSMAS 공법에서 유기물질 제거속도에 관한 수학적 model는 CMAS공법과는 많은 차이점이 있었으며, 유기물질 제거속도에 대한 동력학적 해석은 screen media에 부착된 활성미생물과 부유상태의 미생물에 근거를 두어 해석하였다. 단일폭기 CMAS공법은 steady-strate에 도달된 후 연속적으로 공칭체류시간이 4.5, 6, 9.5 및 12시간으로 운전되었고 REMSMAS 공법은 공칭체류시간이 6시간 및 12시간으로 운전되었으며 운전초기는 nonsteady-state상태였다. 또한 시수는 원액을 약 18배 희석하여 COD값이 950mg/l, BOD값이 450mg/l 되도록 하였다. 부유상태의 미생물에 근거를 둔 설계인자들은 단일폭기 CMAS공법 의하여 구하여 졌으며 이 값들은 REMSMAS공법의 유기물 제거속도에 대한 동력학적 상수를 구하는 이용되었다. 단일폭기 CMAS공법에서 얻어진 $Y_2,\;K_d,(\mu_{max})_s\;and\;K_s$ 및 $K_s$값은 각각 0.78, 0.27/hr, 1.1/hr, 95mg/l였다. REMSMAS공법에서 단위표면적당 유기물 부하량상수 값은 $9.1mg/cm^2-day$였고 포화상수(Kg)값은 평균 53.5mg/l였다. REMSMAS공법은 steady-state 운전될 때는 유기물 제거율은 단일폭기 CMAS법 보다 높게 나타났으나 한계운전 기일에 도달됨에 따라 감소 한다.

• Journal of Microbiology and Biotechnology
• /
• 제27권6호
• /
• pp.1138-1149
• /
• 2017

The use of microalgal biomass is an interesting technology for the removal of heavy metals from aqueous solutions owing to its high metal-binding capacity, but the interactions with bacteria as a strategy for the removal of toxic metals have been poorly studied. The goal of the current research was to investigate the potential of Burkholderia tropica co-immobilized with Chlorella sp. in polyurethane discs for the biosorption of Hg(II) from aqueous solutions and to evaluate the influence of different Hg(II) concentrations (0.041, 1.0, and 10 mg/l) and their exposure to different contact times corresponding to intervals of 1, 2, 4, 8, 16, and 32 h. As expected, microalgal bacterial biomass adhered and grew to form a biofilm on the support. The biosorption data followed pseudo-second-order kinetics, and the adsorption equilibrium was well described by either Langmuir or Freundlich adsorption isotherm, reaching equilibrium from 1 h. In both bacterial and microalgal immobilization systems in the co-immobilization of Chlorella sp. and B. tropica to different concentrations of Hg(II), the kinetics of biosorption of Hg(II) was significantly higher before 60 min of contact time. The highest percentage of biosorption of Hg(II) achieved in the co-immobilization system was 95% at pH 6.4, at 3.6 g of biosorbent, $30{\pm}1^{\circ}C$, and a mercury concentration of 1 mg/l before 60 min of contact time. This study showed that co-immobilization with B. tropica has synergistic effects on biosorption of Hg(II) ions and merits consideration in the design of future strategies for the removal of toxic metals.

• 한국균학회지
• /
• 제27권4호통권91호
• /
• pp.304-311
• /
• 1999

영지버섯의 세포외 다당발효중 동력학적 특성을 기질(포도당, 전분), 기질농도$(1{\sim}7%)$ 및 계대배양(3회)의 함수로서 조사하였다. 영지버섯 균사체 증식은 logistic 모델이 Monod 모델 및 two- thirds power 모델과 비교하여 실험값에 잘 일치하였고, 기질 및 생성물은 Luedeking-Pirt 식에 의하여 잘 설명되었다. 또 다당 생성의 발효 기작은 증식연동형과 비증식 연동형이 함께 존재하는 혼합형이었으나 기질에 상관없이 비증식연동형 기작이 더 중요하였다. Glucose는 농도 증가에 따라 다당생성 및 기질소비의 기작이 증식연동형이 감소하고 비증식연동형이 증가하는 경향을 보였다. 그러나 starch를 사용하였을 경우는 glucose와는 달리, 기질소비의 증식연동형과 비증식연동형 기작이 모두 증가하여 높은 기질 이용성을 보였다. 아울러 starch배지에서는 glucose배지에서 보다 비증식속도의 증가와 계대배양시의 안정성을 보였다. 따라서 영지버섯의 배양시 starch배지는 비증식연동형에 의한 균체 생육 및 다당생성의 생합성 촉진에 의해 이들 생산성 및 계대배양시의 안정성을 증가시키는 것으로 생각되었다 최대의 균사체 생육 및 다당 생산은 각각 9.463 및 10.410 g/l로, 7% starch을 함유한 배지에서 $30^{\circ}C$로 7일간 진탕배양하였을 때 얻어졌다.

• 한국해양바이오학회지
• /
• 제15권2호
• /
• pp.41-48
• /
• 2023

The objective of the present study was to improve the biomass productivity of newly isolated freshwater green microalga Parachlorella sp. This was accomplished by culture conditions optimization, including CO₂ concentration, superficial gas velocity, and light intensity, in 0.5 L bubble column photobioreactors. The supplied CO₂ concentration and gas velocity varied from 0.032% (air) to 10% and 0.02 m/s - 0.11 m/s, respectively, to evaluate their effects on growth kinetics. Next, to maximize the production rate of Parachlorella sp., a lumostatic operation based on a specific light uptake rate (q_e) was applied. From these results, the optimal CO₂ concentration in the supplied gas and the gas velocity were determined to be 5% and 0.064 m/s, respectively. For the lumostatic operation at 10.2 µmol/g/s, biomass productivity and photon yield showed significant increases of 83% and 66%, respectively, relative to cultures under constant light intensity. These results indicate that the biomass productivity of Parachlorella sp. can be improved by optimizing gas properties and light control as cell concentrations vary over time.

• Bulletin of the Korean Chemical Society
• /
• 제35권5호
• /
• pp.1279-1284
• /
• 2014

The binding of TATA-binding protein (TBP) to the TATA-box containing promoter region is aided by many other transcriptional factors including TFIIA and TFIIB. The mechanistic insight into the assembly of RNA polymerase II preinitation complex (PIC) has been gained by either directly altering a function of target protein or perturbing molecular interactions using drugs, RNAi, or aptamers. Aptamers have been found particularly useful for studying a role of a subset of PIC on transcription for their ability to inhibit specific molecular interactions. One major hurdle to the wide use of aptamers as specific inhibitors arises from the difficulty with traditional assays to validate and determine specificity, affinity, and binding epitopes for aptamers against targets. Here, using a technique called the bio-layer interferometry (BLI) designed for a label-free, real-time, and multiplexed detection of molecular interactions, we studied the assembly of a subset of PIC, TBP binding to TATA DNA, and two distinct classes of aptamers against TPB in regard to their ability to inhibit TBP binding to TFIIA or TATA DNA. Using BLI, we measured not only equilibrium binding constants ($K_D$), which were overall in close agreement with those obtained by electrophoretic mobility shift assay, but also kinetic constants of binding ($k_{on}$ and $k_{off}$), differentiating aptamers of comparable KDs by their difference in binding kinetics. The assay developed in this study can readily be adopted for high throughput validation of candidate aptamers for specificity, affinity, and epitopes, providing both equilibrium and kinetic information for aptamer interaction with targets.