• Title/Summary/Keyword: response surface methodology(RSM)

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이축 압출 성형기를 이용한 붉은자루 동충하초의 압출 성형 (Extrusion-cooking Using Twin-screw Extruder on Cordyceps Pruinosa)

  • 김동은;성재모;강위수
    • Journal of Biosystems Engineering
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    • 제30권1호
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    • pp.8-16
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    • 2005
  • The extrusion-cooking condition on Cordyceps pruinosa was designed using twin-screw extruder. Response surface methodology (RSM) was used to investigate extrusion-cooking using a central composition design with varying die temperature $(114-146^{\circ}C)$, feed moisture $(22-38\%)$, feed rate (4-14 ka/h) and screw speed (120-280 rpm). System parameters (die pressure and specific mechanical energy (SME)) and extrudate parameters (density and water solubility index (WSI)) were statically analyzed using RSH. Die pressure was significantly affected by temperature, moisture contents and feed rate. SM was affected by screw speed and feed rate. When die temperature is $130^{\circ}C$ and moisture content $25\%$, the optimum pressure is shown. SME is about 20 Wh/kg, when feed rate is $10\~12kg/min$ and screw speed $200\~250rpm$. WSI was affected by temperature and moisture contents. Density was not affected by any factor. WSI increases by $7\%$ from about $23\%$ to about $30\%$, as temperature is raised from $120^{\circ}C\;to\;140^{\circ}C$. The WSI of Cordyceps pruinosa pulverized after extruding (PE) is about $26.97\%$ higher than that of raw material and $10\%$ higher than that of pulverized after drying (PD). The content of unsaturated fatty acid were not significantly different in PD and PE. Anti-oxidative activity of PE was 1.67-2.2 times higher than that of PD in Cordyceps pruinosa using 1- dipheny1-2-picrylhydrazyl method (DPPH).

고정화 효소를 이용한 Canola oil의 바이오디젤 전환 (Biodiesel Production from Canola oil Using the Immobilized Enzyme)

  • 장명귀;김덕근;이진석;박순철;김승욱
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2010년도 춘계학술대회 초록집
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    • pp.251.1-251.1
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    • 2010
  • 바이오디젤은 동식물성 기름과 메탄올의 트랜스에스테르화 반응에 의해 생산되는 지방산메틸에스테르(FAME, fatty acid methyl esters)로서, 트랜스에스테르화 공정에는 KOH, NaOH, $NaOCH_3$등의 균질계 화학촉매를 이용한 방법, 무촉매 공정인 초임계 메탄올 이용 방법, 그리고 효소촉매를 이용한 방법이 있다. 초임계 공정은 에너지 소비와 장치비가 커서 경제성이 떨어지는 것으로 보고되며 화학촉매 공정은 반응 효율이 높다는 장점을 가지고 있지만, 반응 및 정제단계가 복잡하고 정제과정에 폐수를 발생시키는 문제점을 가지고 있다. 고정화 효소를 사용하는 효소 공정은 에너지 비용의 절감, 후 처리 공정의 단순화, 고 순도의 글리세롤을 얻을 수 있는 장점이 있지만, 반응 속도가 느리고 효소 가격이 비싸다는 단점이 있어 현재까지 상업화되지 못하고 있다. 반응속도가 높고 재사용이 가능한 효소 촉매 공정 개발을 위해 본 연구에서는 Candida rugosa, Rizhopus oryzae 2종을 실리카에 동시 고정화하였다. 고정화 Lipase의 제조는 실리카겔을 과산화수소를 이용하여 전처리를 하고 Acetone과 3-APTES의 혼합용액을 첨가한 후 실리카겔과 (silanization)을 진행 하였다. 그리고 glutaraldehyde를 첨가 하여 공유 결합을 형성 한 후에 증류수를 사용하여 실리카겔을 회수하여 lipase(Rizhopus oryzae, Candida rugosa 10% 용액)를 고정화 하였다. 고정화 효소의 효소 활성을 측정한 결과 3000-3500 Unit(${\mu}mol/g{\cdot}min$)으로 측정되었다. 제조된 고정화 효소를 이용하여 Canola Oil을 바이오디젤로 전환하는 실험을 진행하였으며 생성물로부터 고정화 효소를 분리한 후에 상층의 에스테르층을 취하여 수세한 뒤 원심분리하여 FAME 함량을 측정한 결과 83%의 바이오디젤을 얻을 수 있었다. 그리고 효소 촉매 트랜스에스테르화 반응의 Enzyme, Water, Methanol 투입량의 반응 변수들에 대하여 반응표면분석법(Response Surface Methodology)을 적용하여 최적 반응조건을 도출하는 연구를 수행하였다.

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딸기의 알콜 발효 특성 모니터링 (Monitoring on Alcohol Fermentation Characteristics of Strawberry)

  • 이진만;김숙경;이기동
    • 한국식품영양과학회지
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    • 제32권5호
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    • pp.679-683
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    • 2003
  • 저장성이 낮은 딸기의 효율적인 이용 및 고부가가치 가공제품 개발을 위해 딸기식초 발효의 1단계인 딸기 과즙의 알콜 발효조건을 모니터링하였다. 딸기를 이용한 알콜발효에서 알콜함량이 가장 높게 나타나는 조건은 초기당도가 16.32$^{\circ}$Brix, 발효시간이 53.03 hr 및 발효온도가 28.83$^{\circ}C$일 때 가장 높은 9.22%를 나타내었으며, 산도가 가장 낮게 나타난 조건은 초기당도가 13.18$^{\circ}$Brix, 발효시간이 50.99 hr 및 발효온도가 24.69$^{\circ}C$일 때 가장 낮은 0.49%를 나타내었으며, 잔당함량이 가장 낮게 나타난 조건은 초기당도가 15.00$^{\circ}$Brix, 발효시간이 52.00 hr 및 발효온도가 26.0$0^{\circ}C$일 때 가장 높은 3.97$^{\circ}$Brix를 나타내었다. 알콜 발효조건에 따른 품질검사 결과 딸기식초 발효용 딸기 wine제조를 위한 최적 알콜 발효조건은 초기당도가 14$^{\circ}$Brix, 발효온도가 28$^{\circ}C$ 및 발효시간이 50 hr 일 때였다.

황토로부터 분리한 Bacillus licheniformis의 항진균 chitinase 생산과 효소 특성 (Production and Characterization of Antifungal Chitinase of Bacillus licheniformis Isolated from Yellow Loess)

  • 한귀환;봉기문;김종민;김평일;김시욱
    • KSBB Journal
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    • 제29권3호
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    • pp.131-138
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    • 2014
  • In this study, we isolated two novel chitinase producing bacterial strains from yellow loess samples collected from Jullanamdo province. The chitinase producing bacteria were isolated based on the zone size of clearance in the chitin agar plates. Both of them were gram positive, rod ($2{\sim}3{\times}0.3{\sim}0.4{\mu}m$), spore-forming, and motility positive. They were facultative anaerobic, catalase positive and hydrolyzed starch, gelatin, and casein. From the 16s rRNA gene sequence analysis, the isolates were labeled as Bacillus licheniformis KYLS-CU01 and B. licheniformis KYLS-CU02. The isolates showed higher extracellular chitinase activities than B. licheniformis ATCC 14580 as a control. The optimum temperature and pH for chitinase production were $40^{\circ}C$ and pH 7.0, respectively. Response Surface Methodology (RSM) was used to optimize the culture medium for efficient production of the chitinase. Under this optimal condition, 1.5 times higher chitinase activity of B. licheniformis KYLS-CU02 was obtained. Extracellular chitinases of the two isolates were purified through ammonium sulfate precipitation and anion-exchange DEAE-cellulose column chromatography. The specific activities of purified chitinase from B. licheniformis KYLS-CU01 and B. licheniformis KYLS-CU02 were 7.65 and 5.21 U/mg protein, respectively. The molecular weights of the two purified chitinases were 59 kDa. Further, the purified chitinase of B. licheniformis KYLS-CU01 showed high antifungal activity against Fusarium sp.. In conclusion, these two bacterial isolates can be used as a biopesticide to control pathogenic fungi.

LabVIEW 를 활용한 실시간 렌즈 사출성형 공정상태 진단 시스템 개발 (Development of Real-Time Condition Diagnosis System Using LabVIEW for Lens Injection Molding Process)

  • 나초록;남정수;송준엽;하태호;김홍석;이상원
    • 한국정밀공학회지
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    • 제33권1호
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    • pp.23-29
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    • 2016
  • In this paper, a real-time condition diagnosis system for the lens injection molding process is developed through the use of LabVIEW. The built-in-sensor (BIS) mold, which has pressure and temperature sensors in their cavities, is used to capture real-time signals. The measured pressure and temperature signals are processed to obtain features such as maximum cavity pressure, holding pressure and maximum temperature by the feature extraction algorithm. Using those features, an injection molding condition diagnosis model is established based on a response surface methodology (RSM). In the real-time system using LabVIEW, the front panels of the data loading and setting, feature extraction and condition diagnosis are realized. The developed system is applied in a real industrial site, and a series of injection molding experiments are conducted. Experimental results show that the average real-time condition diagnosis rate is 96%, and applicability and validity of the developed real-time system are verified.

참외의 알콜 및 초산발효 특성 모니터링 (Monitoring on Alcohol and Acetic acid Fermentation Properties of Muskmelon)

  • 이기동;권승혁;이명희;김숙경;권중호
    • 한국식품과학회지
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    • 제34권1호
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    • pp.30-36
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    • 2002
  • 과잉 생산되는 참외를 효율적으로 이용하기 위하여 2단계로 알콜 및 초산 발효에 의해 천연양조 식초를 제조하였다. 참외를 이용한 알콜발효에서 알콜함량은 초기 당함량 $17.83^{\circ}Brix$ 및 82.65 h의 발효건조에서 최대치(7.47%)를 나타내었다. 산함량은 초기 당함량 $12.17^{\circ}Brix$ 및 60.56 h의 발효 시간에서 최소치(0.46%)를 나타내었으며, 잔당 함량은 초기당함량 $10.02^{\circ}Brix$ 및 105.61 h의 발효시간에서 4.49%로 가장 낮았다. 초산발효에서 잔류알콜 함량은 교반속도 200 rpm 및 발효시간 150 h에서 0.03%로 최소치를 나타내었으며, 산도는 교반속도 200 rpm 및 발효시간 250 h 동안 발효시킨 경우 5.27%로 최대치를 나타내었다.

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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둥굴레 근경의 가열조건에 따른 갈변반응 특성의 모니터링 (Monitoring of Maillard Reaction Characteristics under Various Roasting Conditions of Polygonatum odoratum Root)

  • 박난영;정용진;이기동;권중호
    • 한국식품영양과학회지
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    • 제29권4호
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    • pp.647-654
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    • 2000
  • 반응표면분석법을 이용하여 둥굴레 근경의 가열조건에 따 라 갈변 반응기질과 관능적 특성을 모니터링하였다. 총 유리당은 중심점에서 최소점을 나타 내었고 그 전후로 증가하는 경향을 나타내었고, 총 유리아미노산은 볶음온도가 증가하고 볶 음시간이 길어질수록 감소하는 경향을 나타내었다. 그 중 threonine, glycine 및 serine의 함 량응ㄴ 시간이 경\ulcorner마에 따라 초기함량의 91~94%가 감소함을 보였다. 또한 갈색도는 볶음 시간 18분까지 볶음온도와 볶음시간이 증가할수록 증가하다가 그 이후로 감소하는 경향을 나타내었다. 둥굴레의 맛, 색, 향에 대한 관능적 평가는 5% 이내에서 유의차가 인정되었다. 전반적 기호도는 볶음온도는 13$0^{\circ}C$에서 볶음시간 15분과 25분에서 높은 것으로 나타났다. 향에 대한 관능적 품질과 유리아미노산은 갈변반응의 다른 기질에 비하여 높은 수준에서의 상관관계를 나타내었다.

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Poly(L-Lactide)-Degrading Enzyme Production by Actinomadura keratinilytica T16-1 in 3 L Airlift Bioreactor and Its Degradation Ability for Biological Recycle

  • Sukkhum, Sukhumaporn;Tokuyama, Shinji;Kitpreechavanich, Vichien
    • Journal of Microbiology and Biotechnology
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    • 제22권1호
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    • pp.92-99
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    • 2012
  • The optimal physical factors affecting enzyme production in an airlift fermenter have not been studied so far. Therefore, the physical parameters such as aeration rate, pH, and temperature affecting PLA-degrading enzyme production by Actinomadura keratinilytica strain T16-1 in a 3 l airlift fermenter were investigated. The response surface methodology (RSM) was used to optimize PLA-degrading enzyme production by implementing the central composite design. The optimal conditions for higher production of PLA-degrading enzyme were aeration rate of 0.43 vvm, pH of 6.85, and temperature at $46^{\circ}C$. Under these conditions, the model predicted a PLA-degrading activity of 254 U/ml. Verification of the optimization showed that PLA-degrading enzyme production of 257 U/ml was observed after 3 days cultivation under the optimal conditions in a 3 l airlift fermenter. The production under the optimized condition in the airlift fermenter was higher than un-optimized condition by 1.7 folds and 12 folds with un-optimized medium or condition in shake flasks. This is the first report on the optimization of environmental conditions for improvement of PLA-degrading enzyme production in a 3 l airlift fermenter by using a statistical analysis method. Moreover, the crude PLA-degrading enzyme could be adsorbed to the substrate and degraded PLA powder to produce lactic acid as degradation products. Therefore, this incident indicates that PLA-degrading enzyme produced by Actinomadura keratinilytica NBRC 104111 strain T16-1 has a potential to degrade PLA to lactic acid as a monomer and can be used for the recycle of PLA polymer.

Evolutionary Optimization of Pulp Digester Process Using D-optimal DOE and RSM

  • Chu, Young-Hwan;Chonghun Han
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.395-395
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    • 2000
  • Optimization of existing processes becomes more important than the past as environmental problems and concerns about energy savings stand out. When we can model a process mathematically, we can easily optimize it by using the model as constraints. However, modeling is very difficult for most chemical processes as they include numerous units together with their correlation and we can hardly obtain parameters. Therefore, optimization that is based on the process models is, in turn, hard to perform. Especially, f3r unknown processes, such as bioprocess or microelectronics materials process, optimization using mathematical model (first principle model) is nearly impossible, as we cannot understand the inside mechanism. Consequently, we propose a few optimization method using empirical model evolutionarily instead of mathematical model. In this method, firstly, designing experiments is executed fur removing unecessary experiments. D-optimal DOE is the most developed one among DOEs. It calculates design points so as to minimize the parameters variances of empirical model. Experiments must be performed in order to see the causation between input variables and output variables as only correlation structure can be detected in historical data. And then, using data generated by experiments, empirical model, i.e. response surface is built by PLS or MLR. Now, as process model is constructed, it is used as objective function for optimization. As the optimum point is a local one. above procedures are repeated while moving to a new experiment region fur finding the global optimum point. As a result of application to the pulp digester benchmark model, kappa number that is an indication fur impurity contents decreased to very low value, 3.0394 from 29.7091. From the result, we can see that the proposed methodology has sufficient good performance fur optimization, and is also applicable to real processes.

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