• 제목/요약/키워드: bioprocess monitoring

검색결과 34건 처리시간 0.021초

Ratiometric pH Measurements Using LysoSensor DND-192

  • Kang, Jung-Sook;Kostov, Yordan
    • BMB Reports
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    • 제35권4호
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    • pp.384-388
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    • 2002
  • A method for the ratiometric pH sensing using LysoSensor DND-192 is presented in this paper. It works in the physiological pH range. It is based on the use of two fluorophores which differ significantly in their lifetimes. As the discrimination of their emissions is performed through two different frequencies, this method can allow significant overlap of the emission spectra. A simple long-pass filter, or a combination of long-and short-pass filters, was used instead of narrow-bandpass devices. Importantly, the measurements were carried out under strong ambient light. The method could be used in a wide variety of applications, such as intracellular measurements, microscopy, bioprocess monitoring, etc.

Enhancement in the Viability and Biosensing activity of Freeze-Dried Recombinant Bioluminescent Bacteria

  • Park, Sue-Hyung;Gu, Man-Bock
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권3호
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    • pp.202-206
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    • 2000
  • The genetically-engineered Escherichia coli strain, DPD2540, which contains a fabA:::luxCDAbefusion gene, gives a bioluminescent output when membrane fatty acid synthesis is needed. For more pactical application of this strain in the filed as biosensor, freezedrying was adopted. A 12% surcrose solution with Luria-Bertani (LB) broth, as determined by the viability after freeze-drying, was found to be most most effective composition for lyophilization solution among various compositions testitons tested. Rapid freezing with liquid nitrogen also gave the best viability after freeze-drying as compared to samples frozen at-7$0^{\circ}C$ and -2$0^{\circ}C$. The biosensing activities of the cells showed a greater sensitivity when the cells from the expontial phase were freeze-dried. Finally, the optimum temperature for use of the freeze-dried cells in the biodencor field was determined.

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Analysis of pH Change and an Automatic pH Control with A New Function:On-Line Estimation of Acetic Acid

  • Jung, Yoon-Keun;Hur, Won
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제2권2호
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    • pp.69-72
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    • 1997
  • The pH of microbial culture medium was calculated from equations of equilibrium, meterial balances for ionic components and electro-neutrality theory. Ammonium ion consumption and Acetic acid production are found out to be the major contributors for the alteration of the pH as well as the buffer capacity of the medium. By measuring the buffer capacity on-line, levels of acetic acid were estimated by a software sensor using pH signal in a fermentation process of E.coli growing in a minimal medium. The measured values of acetic acid showed good correlation to those of estimated by the software sensor.

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In Situ Monitoring of Biofilm Formations of Escherichia coli and Pseudomonas putida by Use of Lux and GFP Reporters

  • Khang, Youn-Ho;Rober S. Burlage
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제3권1호
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    • pp.6-10
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    • 1998
  • A plasmid vector containing two reporter genes, mer-lux and lac-GFP, was transformed to both Escherichia coli and Pseudomonas putida. Their cellular activities and biofilm characteristics were investigated in flow-cell units by measuring bioluminescent lights and fluorescent levels of GFP. Bioluminescence was effective to monitor temporal cell activities, whereas fluorescent level of GFP was useful to indicate the overall cell activities during biofilm development. The light production rates of E. coli and P. putida cultures were dependent upon concentrations of HgCl2. Mercury molecules entrapped in P. putida biofilms were hardly washed out in comparison with those in E. coli biofilms, indicating that P. putida biofilms may have higher affinity to mercury molecules than E. coli biofilms. It was observed that P. putida expressed GFP cDNA in biofilms but not in liquid cultures. This may indicate that the genetic mechanisms of P. putida were favorably altered in biofilm conditions to make a foreign gene expression possible.

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Characterization of gltA::luxCDABE Fusion in Escherichia coli as a Toxicity Biosensor

  • Ahn, Joo-Myung;Kim, Byoung-Chan;Gu, Man-Bock
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제11권6호
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    • pp.516-521
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    • 2006
  • The use of gltA gene, as a new biomarker for environmental stress biomonitoring, was investigated because of its key position as the first enzyme of the tricarboxylic acid (TCA) cycle. A recombinant bioluminescent Escherichia coli strain, EBJM2, was constructed using a plasmid carrying the citrate synthase (gltA) promoter transcribing the Photorhabdus luminescens IuxCDABE genes (gltA::luxCDABE). The responses from this strain were studied with five different classes of toxicants: DNA damage chemicals, phenolics, oxidative-stress chemicals, PAHs, and organic solvents. EBJM2 responded strongly to DNA damage chemicals, such as mitomycin C (MMC) and methyl-nitro-nitrosoguanidine (MNNG) and nalidixic acid with the strongest responses. In contrast, tests with several compounds from the other four classes of toxicants gave no significant response. Therefore, EBJM2 was found to be sensitive to DNA damage chemicals.

유전자 재조합 대장균에 의만 5-Aminolevulinic Acid (ALA)의 생산 및 공정 모니터링 II. 2차원 형광센서에 의안 공정 모니터링 (Production and Process Monitoring of 5-Aminolevulinic Acid (ALA) by Recombinant E. coli II. process Monitoring by a 2-Dimensional Fluorescence Sensor)

  • 이종일;정상윤;임용식;정상욱
    • KSBB Journal
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    • 제19권1호
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    • pp.27-32
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    • 2004
  • 본 연구에서는 2차원 형광 센서를 이용하여 ALA 생산 공정을 실시간 모니터링하고 오프라인 분석 데이터와 비교, 고찰하였다. 배양액의 pH나 균체의 성장 특성 등 생물공정내의 환경 변화에 따라 형광 특성에 차이를 보였으며 최소배지인 MS8 배지에 IPTG, LA 및 기질 (포도당, 숙신산) 등을 첨가한 후 형광 특성의 변화를 살펴본 결과 균체의 성장이나 세포내 대사현상의 변화를 형광 차이로부터 확인할 수 있었다 2차원 형광센서에 의해 실시간 모니터링 된 형광 스펙트럼데이터는 기질 및 생산물 그리고 세포내 효소 활성 등의 각종 공정 변수와 좋은 상관성을 보였다. 따라서 본 연구에서 사용한 2차원 형광센서는 ALA 대량 생산을 위해 주요한 공정변수를 실시간 모니터링 하는데 매우 효과적이라 할 수 있으며 향후 공정의 제어 및 최적화에도 이용될 수 있다.

흐름주입분석기술에 의한 푸마르산과 숙신산의 모니터링 기술 개발 (Development of On-line Monitoring Techniques for Fumaric Acid and Succinic Acid by Flow Injection Analysis)

  • 손옥재;김춘광;이종일
    • KSBB Journal
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    • 제18권5호
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    • pp.377-384
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    • 2003
  • 본 연구에서는 푸마르산 또는 숙신산을 생산/소비하는 생물공정에서 각 물질의 농도를 온라인 모니터링을 하기 위한 흐름주입분석기술 (FIA)을 개발하였다. 각 효소반응에 필요한 효소 (Fum/MDH, ICL/ICDH)를 VA-Epoxy Biosynth E3-carrier에 공유 결합에 의해 고정화하였고 소형 고정화 효소반응기를 흐름주입분석 장치에 도입하였다. 푸마르산-FIA 및 숙신산-FIA 시스템에서 고정화 효소 반응기의 특성 (예를 들면, 고정화 Fum/MDH 효소 반응기와 ICL/ICDH 효소 반응기는 최적 pH가 9.0이었으며 35$^{\circ}C$의 반응온도에서 최대 활성을 보임) 을 연구하였고 실제 생물공정에의 적용 가능성을 조사하기 위해 각 FIA 시스템의 성능을 조사하였다. 또한 모사공정과 실제 발효공정에서 푸마르산과 숙신산의 농도를 온라인 모니터링하여 오프라인 분석값과 비교하였고 잘 일치함을 볼 수 있었다.

Modeling of Recycling Oxic and Anoxic Treatment System for Swine Wastewater Using Neural Networks

  • Park, Jung-Hye;Sohn, Jun-Il;Yang, Hyun-Sook;Chung, Young-Ryun;Lee, Minho;Koh, Sung-Cheol
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권5호
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    • pp.355-361
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    • 2000
  • A recycling reactor system operated under sequential anoxic and oxic conditions for the treatment of swine wastewater has been developed, in which piggery slurry is fermentatively and aerobically treated and then part of the effluent is recycled to the pigsty. This system significantly removes offensive smells (at both the pigsty and the treatment plant), BOD and others, and may be cost effective for small-scale farms. The most dominant heterotrophic were, in order, Alcaligenes faecalis, Brevundimonas diminuta and Streptococcus sp., while lactic acid bacteria were dominantly observed in the anoxic tank. We propose a novel monitoring system for a recycling piggery slurry treatment system through the use of neural networks. In this study, we tried to model the treatment process for each tank in the system (influent, fermentation, aeration, first sedimentation and fourth sedimentation tanks) based upon the population densities of the heterotrophic and lactic acid bacteria. Principal component analysis(PCA) was first applied to identify a relationship between input and output. The input would be microbial densities and the treatment parameters, such as population densities of heterotrophic and lactic acid bacteria, suspended solids(SS), COD, NH$_4$(sup)+-N, ortho-phosphorus (o-P), and total-phosphorus (T-P). then multi-layer neural networks were employed to model the treatment process for each tank. PCA filtration of the input data as microbial densities was found to facilitate the modeling procedure for the system monitoring even with a relatively lower number of imput. Neural network independently trained for each treatment tank and their subsequent combined data analysis allowed a successful prediction of the treatment system for at least two days.

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Biological Constraints in Algal Biotechnology

  • Torzillo, Giuseppe;Pushparaj, Benjamin;Masojidek, Jiri;Vonshak, Avigad
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제8권6호
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    • pp.338-348
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    • 2003
  • In the past decade, considerable progress has been made in developing the appropriate biotechnology for microalgal mass cultivation aimed at establishing a new agro-industry. This review points out the main biological constraints affecting algal biotechnology outdoors and the requirements for making this biotechnology economically viable. One of them is the availability of a wide variety of algal species and improved strains that favorably respond to varying environmental conditions existing outdoors. It is thus just a matter of time and effort before a new methodology like genetic engineering can and will be applied in this field as well. The study of stress physiology and adaptation of microalgae has also an important application in further development of the biotechnology for mass culturing of microalgae. In outdoor cultures, cells are exposed to severe changes in light and temperature much faster than the time scale re-quired for the cells to acclimate. A better understanding of those parameters and the ability to rapidly monitor those conditions will provide the growers with a better knowledge on how to optimize growth and productivity. Induction of accumulation of high value products is associated with stress conditions. Understanding the physiological response may help in providing a better production system for the desired product and, at a later stage, give an insight of the potential for genetic modification of desired strains. The potential use of microalgae as part of a biological system for bioremediation/detoxification and wastewater treatment is also associated with growing the cells under stress conditions. Important developments in monitoring and feedback control of the culture behavior through application of on-line chlorophyll fluorescence technique are in progress. Understanding the process associated with those unique environmental conditions may help in choosing the right culture conditions as well as selecting strains in order to improve the efficiency of the biological process.

인공신경망에 의한 생물공정에서 2차원 형광스펙트럼의 분석 I - 자기조직화망에 의한 형광스펙트럼의 분류 - (Analysis of Two-Dimensional Fluorescence Spectra in Biotechnological Processes by Artificial Neural Networks I - Classification of Fluorescence Spectra using Self-Organizing Maps -)

  • 이금일;임용식;김춘광;이승현;정상욱;이종일
    • KSBB Journal
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    • 제20권4호
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    • pp.291-298
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    • 2005
  • 본 연구는 재조합 대장균과 S.cerevisiae의 발효공정에서 형광스펙트럼 데이터를 수집하였으며, SOM을 이용하여 형광스펙트럼 데이터를 특정 그룹으로 분류하고 발효공정을 분석하고자 하였다. 배출가스 내 이산화탄소농도와 세포농도 같은 공정변수들은 SOM 알고리즘으로부터 얻은 분산 및 정규화된 가중치들과 좋은 연관성을 나타내었다. 전체 스펙트럼 데이터의 분류는 생물공정 모델링을 위한 매우 중요한 단계인데 그 이유는 몇몇 여기파장과 방출파장의 유의한 조합들이 전체영역의 스펙트럼 데이터로부터 추출되기 때문이다. 예를 들면, 본 연구에서 SOM을 이용하여 추출한 98개의 스펙트럼 데이터의 예제들은 부분최소자승법이나 감독신경망 (supervised neural network)을 이용한 공정의 모델링에 사용될 수 있다.