• Title/Summary/Keyword: 미생물 농도

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옥수수전분 및 기장의 방사선 재조사에 따른 검지 특성

  • 김현구;양영민;최맑음;권중호
    • Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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    • 2003.10a
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    • pp.133.1-133
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    • 2003
  • 옥수수 전분 및 기장에 대해 방사선 재조사 후 검지 특성 평가 및 조사선량과의 상관성을 분석하였다. 즉, 국산 및 중국산 옥수수 전분과 기장(Panicum miliaceum) 분말을 비조사구, 5 kGy 조사구로 구분하여 $0{\pm}1^{\circ}C$, 암소에 12개월간 보관하면서 6개월마다 5 kGy로 재조사하여 점도, surface color, 미생물 농도 TBA value등을 측정하였다. 옥수수 전분의 점도는 저장기간 중 초기의 값을 유지하면서 각 시점에서 비조사구, 5 kGy 처리구, 5 kGy 재조사구순으로 높게 측정되어 방사선 처리 및 재조사에 의한 점도의 감소 현상을 볼 수 있었다. 이러한 현상은 기장(Panicum miliaceum) 분말에서도 동일하게 나타났다. 표면색깔의 경우 L및 a 값은 조사 및 재조사 여부에 따른 차이를 볼 수 없었으나 b값은 비조사구, 5 kGy 조사구, 5 kGy 재조사구 순으로 높게 측정되어 방사선 조사에 따라 황색화가 진행되는 것으로 나타났다. 미생물 농도는 비조사구의 경우 초기에 $10^2$CFU/g 이상 측정되었고 저장기간 동안 증가하였으며 조사구 및 재조사구에서는 저장 기간 중 측정되지 않았다. TBA value의 경우, 방사선조사구 및 재조사구일수록 높게 나타났으며 저장 기간동안 증가하였다. 따라서 방사선 조사 및 재조사처리를 함으로써 전분질 농산물의 점도 감소와 황색화의 진행 그리고 미생물 살균효과 및 지방질 산패 현상을 확인하였다.

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A Study on the Characteristics of microbial surface for Enhanced Efficiency of Mine Tailings Cleanup (광미 정화의 효율 증진을 위한 미생물 표면 특성에 관한 연구)

  • 이지희;김준호;전민하;류두현;최상일
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 1999.04a
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    • pp.94-96
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    • 1999
  • 충북 단양에 위치한 조일 광산에서 채취한 구리와 아연으로 오염된 광미(광산 폐기물로서 금속 추출 후 남은 찌꺼기)를 효율적으로 처리하기 위한 생물학적 용출기법(bioleaching) 에서 기본 배지 조성(9K medium)을 변화시켜 미생물의 표면 특성을 측정하고 미생물 표면 특성이 용출 효율에 미치는 영향을 관찰하였다. 인을 첨가하지 않았을 때 소수성 값은 62.5%, 질소원 농도가 45mM일 때의 소수성 값은 66.7%로 미생물 표면 특성이 가장 소수성인 특성을 가지고 있었으며, 구리와 아연의 용출 효율도 가장 높게 나타나는 상관 관계를 나타냈다. 또한 광미에 부착된 미생물의 양을 측정해 본 결과, 미생물 표면 특성이 소수성일수록 광미에 부착된 미생물의 양도 많다는 것을 알 수 있었다.

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Measurement of Ammonia Inhibition of Activated Sludge by DHA-INT (DHA-INT를 이용한 활성슬러지의 암모니아 저해도)

  • Lee, Sang-Min;Jung, Jin-Young;Chung, Yun-Chul
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.11
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    • pp.1969-1976
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    • 2000
  • It is a time consuming work to identify the inhibition of unknown chemicals or industrial wastewater. Thus it is needed to establish a fast assay tool for finding a toxicant source. Biomass activity and ammonia inhibition were measured by DHAINT method. Ammonia inhibition tests were comprised of total ammonia inhibition and free ammonia inhibition. Those inhibitions were carried out by nitrifier and heterotroph each other with nitrifier inhibitor. The ammonia inhibition was proportional to an amount of total ammonia and pH increase. It meaned that a free ammonia played a key role for ammonia inhibition. however both total ammonia and free ammonia should be considered for an accurate assay of the ammonia inhibition. Nitrifier was more sensitive than heterotroph when the ammonia concentration above 3.000mg/L.

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Bacterial Behavior in Soil under Electric Field and its Effect on Electrokientic Bioremediation (전기장하 토양내에서 미생물 이동특성과 동전기 생물학적복원의 효과)

  • Kim, Sang-Joon;Park, Ji-Yeon;Lee, You-Jin;Yang, Ji-Won
    • KSBB Journal
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    • v.21 no.3
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    • pp.175-180
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    • 2006
  • In this study, it could be found that the microbial movement in soil under electric field mainly occurred by electrophoresis and electroosmosis. The contribution of electrophoresis on the microbial mobility and flux was generally higher than that of electroosmosis. In the electrokinetic(EK) bioremediation of a pentadecane-contaminated soil, the microbial population increased simultaneously at anode and cathode regions of the soil specimen because both electrophoresis and electroosmosis affected on the microbial movement. After initial operation, the microbial population was high in order of anode, middle, and cathode regions due to their negatively-charged surface and oxygen generation at anode. However, the uniform contaminant removal was achieved by the microbial movement with two-directionality.

A Simulation Study of Two-stage Fed-batch Culture for Optimization and Control of PHB Production (PHB 생산의 최적화 및 제어를 위한 이단유가식 배양의 전산모사)

  • 이재호;이용우;유영제
    • Microbiology and Biotechnology Letters
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    • v.20 no.6
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    • pp.668-676
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    • 1992
  • For the purpose of optimizing poly-l3-hydroxybutyrate (PHB) production from Alcaligenes eutrophus, two-stage fed-batch culture was adopted. In this system, specifk growth rate was maximized during the first stage whereas specific production rate was maximized during the second stage. The optimal concentrations of glucose and ammonium chloride were 16.6 and 0.54 g/I in the growth stage and 20.0 and 0.07 g/l in the production stage, respectively. Proportional feedback control considering time lag was suggested for PHB production process and a simulator was developed for real-time control purpose.

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The Basic Design Parameters and Effluent Characteristics for Aerobic Fixed Biofilm Reactor (호기성 고정생물막 반응기에서 기초 설계인자와 유출수의 성상)

  • 박태주;송승구
    • KSBB Journal
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    • v.7 no.3
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    • pp.235-245
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    • 1992
  • A number of experiments to treat wastewater of a dye plant were conducted to investigate the basic design parameters and effluent characteristics for aerobic fixed biofilm reactor upon the variation of organic loading rate. The media used for this study were SARAN 4000 D with specific surface area $153m^2/m^3$, and 1000 D with specific surface area $307m^2/m^3$. The influent COD concentration ranged from 1250 to 4080 mg/L. Substrate removal and variation of biomass concentration were observed. At the beginning, the effluent quality was poor but improved as the time passed. However the effluent quality became seriously deteriorated when the media clogged. At influent COD of 1250mg/L, the effluent COD varied little, even if the organic loading rate increased from 0.63 to 2.5kg COD/$m^3$/day. It was also noted that the design parameters for activated sludge process could be applied to an aerobic fixed biofilm process under the experimental conditions.

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Protoplast Formation of the Amylolytic Yeast and Saccharomyces cerevisiae by Snail Lytic Enzyme from Helix pomatia (Snail Lytic Enzyme에 의한 전분리용성 효모 및 Saccharomyces cerevisiae의 원형질체 형성)

  • 구영조;박완수;신동화;유태종
    • Microbiology and Biotechnology Letters
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    • v.13 no.2
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    • pp.137-144
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    • 1985
  • Studies were conducted on the conditions for preparation of yeast protoplasts utilizing Hansenula anomala var. anomala FRI YO-32 as well as Saccharomyces cerevisiae KFCC 32356 and a lytic enzyme from the snail Helix pomatia. The cell wails of the strain FRI YO-32 and S cerevisiae were found to be resistant to activity of the snail lytic enzyme if they were not treated with thiol compounds. Dithiothreitol was found to be more effective than 2-mercaptoethanol, but the latter was considered to be practical. As factors influencing the formation of yeast protoplast, it was considered to be concentration and incubation time of 2-mercaptoethanol or the lytic enzyme, growth stages in yeast cultivation, initial number of yeast cells, and concentration of osmotic stabilizer (KCI). Optimum conditions for the preparation of yeast protoplasts were determined.

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BTXS Compounds Biodegradability by Pseudomonas sp. Isolated from a Bioreactor (미생물반응기에서 분리한 Pseudomonas 속 세균의 BTXS Compounds 분해 특성)

  • Cho, Young-Cheol;Jang, Hyun-Sup;Hwang, Sun-Jin
    • Journal of Korean Society of Environmental Engineers
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    • v.29 no.6
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    • pp.678-683
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    • 2007
  • We isolated a toluene-degrading bacterium, TDB-4, from a bioreactor which designed to remove volatile organic compounds (VOCs) from the contaminated air. Based on the results of 16S rRNA gene analysis, it was classified as Pseudomonas sp. The toluene degradability was estimated in the variable toluene and bacterial concentrations. The bacterial growth and degradation rate was higher in the samples supplied with 50 ${\mu}mole/vial$ of toluene than with 10 ${\mu}mole/vial$. It was decreased, however, in the samples with 100 ${\mu}mole/vial$, indicating that toluene inhibit the growth or degradation activity of TDB-4 at high concentration. When the degradation ability of other compounds was examined, TDB-4 can degrade other VOCs such as styrene, benzene, and xylene. These results will be helpful to optimize the operating conditions to improve the efficiency of a bioreactor in detoxification of VOCs.

Synergistic Antibacterial Activity of Fig (Ficus carica) Leaves Extract Against Clinical Isolates of Methicillin-resistant Staphylococcus aureus (병원내에서 분리된 메티실린내성 황색포도상구균에 대한 무화과잎 추출물의 항미생물효과)

  • Lee, Young-Soo;Cha, Jeong-Dan
    • Microbiology and Biotechnology Letters
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    • v.38 no.4
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    • pp.405-413
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    • 2010
  • Fig (Ficus carica L.) belongs to the mulberry tree (Moraceae) which is one of the oldest fruits in the world. It has been used as a digestion promoter and a cure for ulcerative inflammation and eruption in Korea. The present study investigated the antimicrobial activity of methanol (MeOH) extract of fig leaves against methicillin-resistant Staphylococcus aureus (MRSA) isolated in clinic. The MeOH extract (MICs, 2.5 to 20 mg/mL; MBCs, 5 to 20 mg/mL) was demonstrated as antibacterial activity in isolates MRSA 1-20. The administration of the MeOH extract in combination with oxacillin or ampicillin induced a reduction of ${\geq}$4-8-fold in all tested bacteria, which was considered to be synergistic based on a FICI of ${\leq}$0.375-0.5. Furthermore, time-kill study was found that a combination of MeOH extract with oxacillin or ampicillin produced a more rapid decrease in the concentration of bacteria CFU/mL than MeOH extract alone. The results suggest that fig leaves could be employed as a natural antibacterial agent in MRSA infection care products.

Development of deep learning structure for complex microbial incubator applying deep learning prediction result information (딥러닝 예측 결과 정보를 적용하는 복합 미생물 배양기를 위한 딥러닝 구조 개발)

  • Hong-Jik Kim;Won-Bog Lee;Seung-Ho Lee
    • Journal of IKEEE
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    • v.27 no.1
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    • pp.116-121
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    • 2023
  • In this paper, we develop a deep learning structure for a complex microbial incubator that applies deep learning prediction result information. The proposed complex microbial incubator consists of pre-processing of complex microbial data, conversion of complex microbial data structure, design of deep learning network, learning of the designed deep learning network, and GUI development applied to the prototype. In the complex microbial data preprocessing, one-hot encoding is performed on the amount of molasses, nutrients, plant extract, salt, etc. required for microbial culture, and the maximum-minimum normalization method for the pH concentration measured as a result of the culture and the number of microbial cells to preprocess the data. In the complex microbial data structure conversion, the preprocessed data is converted into a graph structure by connecting the water temperature and the number of microbial cells, and then expressed as an adjacency matrix and attribute information to be used as input data for a deep learning network. In deep learning network design, complex microbial data is learned by designing a graph convolutional network specialized for graph structures. The designed deep learning network uses a cosine loss function to proceed with learning in the direction of minimizing the error that occurs during learning. GUI development applied to the prototype shows the target pH concentration (3.8 or less) and the number of cells (108 or more) of complex microorganisms in an order suitable for culturing according to the water temperature selected by the user. In order to evaluate the performance of the proposed microbial incubator, the results of experiments conducted by authorized testing institutes showed that the average pH was 3.7 and the number of cells of complex microorganisms was 1.7 × 108. Therefore, the effectiveness of the deep learning structure for the complex microbial incubator applying the deep learning prediction result information proposed in this paper was proven.