• Title/Summary/Keyword: growth optimization

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Statistical Optimization of Growth Medium for the Production of the Entomopathogenic and Phytotoxic Cyclic Depsipeptide Beauvericin from Fusarium oxysporum KFCC 11363P

  • Lee, Hee-Seok;Song, Hyuk-Hwan;Ahn, Joong-Hoon;Shin, Cha-Gyun;Lee, Gung-Pyo;Lee, Chan
    • Journal of Microbiology and Biotechnology
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    • v.18 no.1
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    • pp.138-144
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    • 2008
  • The production of the entomopathogenic and phytotoxic cyclic depsipeptide beauvericin (BEA) was studied in submerged cultures of Fusarium oxysporum KFCC 11363P isolated in Korea. The influences of various factors on mycelia growth and BEA production were examined in both complete and chemically defined culture media. The mycelia growth and BEA production were highest in Fusarium defined medium. The optimal carbon and nitrogen sources for maximizing BEA production were glucose and $NaNO_3$, respectively. The carbon/nitrogen ratio for maximal production of BEA was investigated using response surface methodology (RSM). Equations derived by differentiation of the RSM model revealed that the production of BEA was maximal when using 108 mM glucose and 25 mM $NaNO_3$.

Process Modeling and Optimization for Characteristics of ZnO Thin Films using Neural Networks and Genetic Algorithms (신경망과 유전 알고리즘을 이용한 광소자용 ZnO 박막 특성 공정 모델링 및 최적화)

  • Ko, Young-Don;Kang, Hong-Seong;Jeong, Min-Chang;Lee, Sang-Yeol;Myoung, Jae-Min;Yun, Il-Gu
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07a
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    • pp.33-36
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    • 2004
  • The process modeling for the growth rate in pulsed laser deposition(PLD)-grown ZnO thin films is investigated using neural networks(NNets) and the process recipes is optimized via genetic algorithms(GAs). D-optimal design is carried out and the growth rate is characterized by NNets based on the back-propagation(BP) algorithm. GAs is then used to search the desired recipes for the desired growth rate. The statistical analysis is used to verify the fitness of the nonlinear process model. This process modeling and optimization algorithms can explain the characteristics of the desired responses varying with process conditions.

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Medium Optimization for Cell Growth and Metabolite Formation from Haematococcus sp. under Mixotrophic Cultivation (혼합영양 조건하에서 Haematococcus sp.의 배지 최적화 및 대사산물 생산)

  • Kim, Hyo Seon;Kim, Sung-Koo;Jeong, Gwi-Taek
    • Microbiology and Biotechnology Letters
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    • v.48 no.3
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    • pp.337-343
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    • 2020
  • In this study, the medium optimization for cell growth and metabolite formation of Haematococcus sp. under mixotrophic cultivation was investigated. As a result, modified MS medium was selected as the basal medium; glucose was selected as the carbon source, with an optimum concentration of 10 g/l, and potassium nitrate was chosen as the nitrogen source, with an optimum concentration of 1.9 g/l. Under optimum conditions, Haematococcus sp. demonstrated an increase in biomass concentration from 0.18 gDW/l to 5.58 gDW/l in 14 days, after which there was a 31-fold increase in its growth. At the same time, the concentrations of chlorophyll and carotenoids were 172.16 mg/l and 42.33 mg/l, respectively. This work will contribute to the basic data for mass cultivation of microalgae.

Short-term Reactive Power Reserve Optimization Based on Trajectory Sensitivity

  • Sun, Quancai;Cheng, Haozhong;Zhang, Jian;Li, Baiqing;Song, Yue
    • Journal of Electrical Engineering and Technology
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    • v.12 no.2
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    • pp.541-548
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    • 2017
  • An increasing concern is paid to short-term voltage stability with the growth of penetration of induction motor loads. Reactive power reserve(RPR) of power system is critical to improve voltage stability. A definition of short-term voltage stability-related RPR(SVRPR) is proposed. Generators vary their contributions to voltage stability with their location and system condition, etc. Voltage support coefficient based on the second-order trace sensitivity method is proposed to evaluate SVRPR's contribution to short-term voltage stability. The evaluation method can account for the generator's reactive support in transient process and the contingency severity. Then an optimization model to improve short-term voltage stability is built. To deal with multiple contingencies, contingency weight taking into account both its probability and severity is proposed. The optimization problem is solved by primal dual interior point method. Testing on IEEE_39 bus system, it is indicated that the method proposed is effective. Short-term voltage stability is improved significantly by the way of SVRPR optimization. Hence, the approach can be used to prevent the happening of voltage collapse during system's contingency.

Process Optimization of Polyurethane Pre-polymer for Medical Application (의료용 폴리우레탄 Pre-polymer의 중합공정 최적화)

  • Hur, Kwang-Tae;Koo, Yang;Ha, Man-Kyung;Kwak, Jae-Seob
    • 한국금형공학회:학술대회논문집
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    • 2008.06a
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    • pp.203-208
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    • 2008
  • Recently, the modern society in development and industrial growth is investing a lot of time and much effort to improvement and environment of life quality. Thus, the casting tape which uses environmentally friendly and human body friendly water hardening process Polymer is rapidly substituted for the gypsum cast product which has been plentifully used in medical treatment. Until currently, prior researches have a tendency to focusing the analysis about chemical creation expense and reaction quality rather than the issue about optimization of the process for this polymerization. In the polymerization process which has been accomplished with actual same chemical creation expense, there has been a problem which is the possibility of getting a different result. This is because the optimization of respectively control factors is not accomplished which affect at polymerization process. Therefore, this research sees the chemical qualities of casting tape Polymer, consequently selects the polymerization process which is suitable. And, by using a experimental design, this research will evaluate the affects which the respective factors have on remaining NCO and viscosity. futhermore, this research will carry out the process optimization which can get the above results.

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Sintering process optimization of ZnO varistor materials by machine learning based metamodel (기계학습 기반의 메타모델을 활용한 ZnO 바리스터 소결 공정 최적화 연구)

  • Kim, Boyeol;Seo, Ga Won;Ha, Manjin;Hong, Youn-Woo;Chung, Chan-Yeup
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.31 no.6
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    • pp.258-263
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    • 2021
  • ZnO varistor is a semiconductor device which can serve to protect the circuit from surge voltage because its non-linear I-V characteristics by controlling the microstructure of grain and grain boundaries. In order to obtain desired electrical properties, it is important to control microstructure evolution during the sintering process. In this research, we defined a dataset composed of process conditions of sintering and relative permittivity of sintered body, and collected experimental dataset with DOE. Meta-models can predict permittivity were developed by learning the collected experimental dataset on various machine learning algorithms. By utilizing the meta-model, we can derive optimized sintering conditions that could show the maximum permittivity from the numerical-based HMA (Hybrid Metaheuristic Algorithm) optimization algorithm. It is possible to search the optimal process conditions with minimum number of experiments if meta-model-based optimization is applied to ceramic processing.

Photovoltaic Properties of Cu(In1Ga)Se2Thin film Solar Cells Depending on Growth Temperature (성장온도에 따른 Cu(In1Ga)Se2박막 태양전지의 광전특성 분석)

  • 김석기;이정철;강기환;윤경훈;송진수;박이준;한상옥
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.16 no.2
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    • pp.102-107
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    • 2003
  • This study puts focus on the optimization of growth temperature of CIGS absorber layer which affects severely the performance of solar cells. The CIGS absorber layers were prepared by three-stage co-evaporation of metal elements in the order of In-Ga-Se. The effect of the growth temperature of 1st stage was found not to be so important, and 350$^{\circ}C$ to be the lowest optimum temperature. In the case of growth temperature at 2nd/3rd stage, the optimum temperature was revealed to be 550$^{\circ}C$. The XRD results of CIGS films showed a strong (112) preferred orientation and the Raman spectra of CIGS films showed only the Al mode peak at 173cm$\^$-1/. Scanning electron microscopy results revealed very small grains at 2nd/3rd stage growth temperature of 480$^{\circ}C$. At higher temperatures, the grain size increased together with a reduction in the number of the voids. The optimization of experimental parameters above mentioned, through the repeated fabrication and characterization of unit layers and devices, led to the highest conversion efficiency of 15.4% from CIGS-based thin film solar cell with a structure of Al/ZnO/CdS/CIGS/Mo/glass.

Enhanced Biomass Productivity of Freshwater microalga, Parachlorella kessleri for Fixation of Atmospheric CO2 Using Optimal Culture Conditions (최적 배양 조건을 이용한 CO2 제거 목적의 담수 미세조류 Parachlorella kessleri의 바이오매스 생산성 향상)

  • Z-Hun Kim;Sun Woo Hong;Jinu Kim;Byungrak Son;Mi-Kyung Kim;Yong Hwan Kim;Jin Hyun Seol;Su-Hwan Cheon
    • Journal of Marine Bioscience and Biotechnology
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    • v.16 no.1
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    • pp.36-44
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    • 2024
  • This study attempted to improve the growth of the freshwater microalgae, Parachlorella kessleri, through the sequential optimization of culture conditions. This attempt aimed to enhance the microalgae's ability to fixate atmospheric CO2. Culture temperature and light intensity appropriate for microalgal growth were scanned using a high-throughput photobioreactor system. The supplied air flow rate varied from 0.05 to 0.3 vvm, and its effect on the growth rate of P. kessleri was determined. Next, sodium phosphate buffer was added to the culture medium (BG11) to enhance CO2 fixation by increasing the availability of CO2(HCO3-) in the culture medium. The results indicated that optimal culture temperature and light intensity were 20℃-25℃ and 300 μE/m2/s, respectively. Growth rates of P. kessleri under various air flow rates highly depended on the increase of the culture's flow rate and pH which determines CO2 availability. Adding sodium phosphate buffer to BG11 to maintain a constant neutral pH (7.0) improved microalgal growth compared to control conditions (BG11 without sodium phosphate). These results indicate that the CO2 fixation rate in the air could be enhanced via the sequential optimization of microalgal culture conditions.

Optimization of Medium Composition for Growth of Leuconostoc mesenteroides

  • Kim, Hyeon;Eom, Hyeon-Ju;Seo, Dong-Mi;Han, Nam-Su
    • 한국생물공학회:학술대회논문집
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    • 2003.04a
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    • pp.153-156
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    • 2003
  • The MRS medium is widely used as an optimized medium for the growth of Lactobacillus spp. and also used for the growth of Leuconostoc spp. Leuconostoc mesenteroides shows quite different physicochemical properties compared to Lactobacilli spp. and it is one of the major strain of kimchi fermenting microorganisms with its usefulness in our traditional foods and availability in biotechnology in the future, specifically tailor-made medium is necessary for the growth of Leuconostoc mesenteroides. Sequential experimental designs (Plackett-Burman, fractional factorial, steepest ascent, central composite design and response surface methodology) were introduced to optimize and improve the Leuconostoc medium. Fifteen medium ingredients were investigated and fructose, sodium acetate and ammonium citrate were determined to give a critical and positive effect for cell-growth. The yield of biomass using the optimal medium was improved more than that of the MRS medium and the result of fed-batch culture showed the capability of the improvement in cell mass similar to the E.coli system.

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Optimization of submerged culture conditions for the mycelial growth and exo-biopolymer production by Cordyceps millitaris

  • Park, Jong-Pil;Sinha, Jayanta;Song, Chi-Hyeon;Yun, Jong-Won
    • 한국생물공학회:학술대회논문집
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    • 2000.11a
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    • pp.317-320
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    • 2000
  • The optimal temperature and pH for both mycelial growth and exe-biopolymer production by Cordyceps millitaris in shake flask culture were found to be $20^{\circ}C$ and 6.0, respectively. Sucrose (4%) and corn steep powder (1%) were the most suitable carbon and nitrogen source for mycelial growth and exo-biopolymer production. The maximum specific growth rate $(0.142h^{-1})$ was achieved when sucrose was used as the sole carbon source. Exo-biopolymer production was increased with the increase in C/N molar ratio concentration, probably due to the facilitated carbon uptake. Under the optimal culture conditions, the maximum mycelial growth exe-biopolymer concentration were reached to around 13.3 g dry cell weigh/l and 3.33 g/l, respectively.

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