반응표면분석법을 이용한 감귤건조칩 제조조건 최적화

라하나,박가영,김하윤,조용식,김경미 한국식생활문화학회 2019 韓國食生活文化學會誌 Vol.34 No.5

The purpose of this study was to optimize the mandarin dry chip manufacturing using a response surface methodology. The experiment was designed based on a CCD (Central Composite Design), and the independent variables were the dryingtemperature (X1, 50-90oC), drying time (X2, 12-36 hours), and microwave pretreat time (X3, 0-4 minutes). The results ofappearance (Y5), color (Y6), taste (Y8) and overall acceptance (Y10) were fitted to the response surface methodology model(R2=0.86, 0.88, 0.89, and 0.84, respectively). Increasing the drying temperature and microwave treatment time werenegatively evaluated for consumer acceptance. On the other hand, a high value of consumer acceptance was evaluatedwhen the drying time was more than 24 hr. Therefore, the optimal conditions of X1, X2, and X3 were 52.989oC, 24 hr, and1 min, respectively. Under these optimal conditions, the predicted values of Y5, Y6, Y8, and Y10 were 5.066, 5.338, 5.063,and 5.339, respectively.

Effects of Onion Powder and Baking Temperature on the Physicochemical Properties of Cookies

Jun Ho Lee,Hye Ran Kim,Eun Ju Seog 한국식품영양과학회 2007 Preventive Nutrition and Food Science Vol.12 No.3

Response surface methodology (RSM) was used for the optimization of the baking process of cookies made with onion powders (onion cookie). Experiments were carried out according to a central composite design, selecting onion powder content (1.15~8.86%) and baking temperature (155.9~184.1oC) as independent variables and pH, titratable acidity, moisture content, density, spread factor, CIE color parameters (L*-, a*-, and b*-values), and hardness as response variables. pH decreased with increasing amount of onion powder and baking temperature. Moisture content also decreased as the baking temperature increased. L*- and b*-values decreased but a*-values increased with increasing onion content and baking temperature. Most polynomial models developed by RSM were highly effective to describe the relationships between the studied factors and the responses. Overall optimization, conducted by overlaying the contour plots under investigation, was able to point out the optimal range of the independent variables within which the six responses were simultaneously optimized. The point chosen as representative of this optimal region corresponded to 4.01% onion powder content and 161.84oC baking temperature. The predicted dependent or response values in the optimal region were: pH=6.87, moisture content=2.77%, L*-value=68.45, a*-value=1.98, b*-value=34.64, and spread factor=9.41.

반응표면 분석법을 이용하여 Cellulase 에 의한 키토산올리고당의 제조 조건 설정

주동식 ( Dong Sik Joo ),이정석 ( Jung Suck Lee ),김옥선 ( Ok Seon Kim ),조순영 ( Soon Yeoung Cho ) 한국수산과학회 2002 한국수산과학회지 Vol.35 No.6

Cellulase를 이용하여 올리고당을 제조하기 위한 최적 조건을 반응표면 분석법을 이용하여 설정하였다. 키토산 분해능과 산업적 활용의 측면에서 유리한 Pen. funiculosum 유래의 cellulase를 예비 실험을 통해 결정하였다. 이 효소의 적정 반응 조건에서 경시적 키토산 분해율을 측정한 결과, 반응 10시간까지는 대수적 증가를 보였으나, 10시간 이후로는 완만한 분해율을 나타내었다. 중심합성계획에 의해 총 26개의 실험을 행한 뒤 반응표면분석법으로 설정한 키토산 분해 최적 조건은 기질 농도 0.5%에 대해 효소 농도 143(U), 반응온도 49 ˚C, 반응시간 13.2hr 및 pH는 3.8이었다. 본 연구에서 설정된 최적의 조건에서 얻어진 키토산 분해물은 dimer와 trimer가 주된 올리고당이었고, 소량의 tetramer와 hexamer 그리고 monomer 등의 총 8종 정도의 올리고당이 검출되었다. Optimal conditions for preparing of chitooligosaccharides from chitosan with cellulase was researched by response surface methodology. Penicillium funiculosum derived cellulase was most effective for chitooligosaccharides production as the point of hydrolyzing activity and commercial utility. The result which measures the change of degrading ratio at time course, 10 hr reaction showed a exponential increase and after that time degrading ratio was not changed. The optimal conditions determined by response surface methodology with central composite design of total 26 species were 0.5% of chitosan, 143 U enzyme, 49 ˚C of reaction temperature, 13.2 hr of reaction time and pH 3.8 Major chitooligosaccharides produced form chitosan on optimal conditions were dimer and trimer.

Hybrid Optimization Strategy using Response Surface Methodology and Genetic Algorithm for reducing Cogging Torque of SPM

Kim, Min-Jae,Lim, Jae-Won,Seo, Jang-Ho,Jung, Hyun-Kyo The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.2

Numerous methodologies have been developed in an effort to reduce cogging torque. However, most of these methodologies have side effects that limit their applications. One approach is the optimization methodology that determines an optimized design variable within confined conditions. The response surface methodology (RSM) and the genetic algorithm (GA) are powerful instruments for such optimizations and are matters of common interest. However, they have some weaknesses. Generally, the RSM cannot accurately describe an object function, whereas the GA is time consuming. The current paper describes a novel GA and RSM hybrid algorithm that overcomes these limitations. The validity of the proposed algorithm was verified by three test functions. Its application was performed on a surface-mounted permanent magnet.

Hybrid Optimization Strategy using Response Surface Methodology and Genetic Algorithm for reducing Cogging Torque of SPM

Min-Jae Kim,Jaewon Lim,Jang-Ho Seo,Hyun-Kyo Jung 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.2

Numerous methodologies have been developed in an effort to reduce cogging torque. However, most of these methodologies have side effects that limit their applications. One approach is the optimization methodology that determines an optimized design variable within confined conditions. The response surface methodology (RSM) and the genetic algorithm (GA) are powerful instruments for such optimizations and are matters of common interest. However, they have some weaknesses. Generally, the RSM cannot accurately describe an object function, whereas the GA is time consuming. The current paper describes a novel GA and RSM hybrid algorithm that overcomes these limitations. The validity of the proposed algorithm was verified by three test functions. Its application was performed on a surface-mounted permanent magnet.

다목적 유전 알고리즘을 이용한 쌍대반응표면최적화

이동희(Dong-Hee Lee),김보라(Bo-Ra Kim),양진경(Jin-Kyung Yang),오선혜(Seon-Hye Oh) 대한산업공학회 2017 대한산업공학회지 Vol.43 No.3

Dual response surface optimization (DRSO) attempts to optimize mean and variability of a process response variable using a response surface methodology. In general, mean and variability of the response variable are often in conflict. In such a case, the process engineer need to understand the tradeoffs between the mean and variability in order to obtain a satisfactory solution. Recently, a Posterior preference articulation approach to DRSO (P-DRSO) has been proposed. P-DRSO generates a number of non-dominated solutions and allows the process engineer to select the most preferred solution. By observing the non-dominated solutions, the DM can explore and better understand the trade-offs between the mean and variability. However, the non-dominated solutions generated by the existing P-DRSO is often incomprehensive and unevenly distributed which limits the practicability of the method. In this regard, we propose a modified P-DRSO using multiple objective genetic algorithms. The proposed method has an advantage in that it generates comprehensive and evenly distributed non-dominated solutions.

와이어 펄스전해가공에서 반응표면분석법을 응용한 미세박판의 홀 가공 최적 조건에 관한 연구

송우재(Woo-Jae Song),이은상(Eun-Sang Lee) 한국기계가공학회 2017 한국기계가공학회지 Vol.16 No.5

Due to the inaccuracy of micro-machining, various special processing methods have been investigated recently. Among them, pulse electrochemical machining is a promising machining method with the advantage of no residual stress and thermal deformation. Because the cross section of the wire electrode used in this study is circular, wire-pulse electrochemical machining is suitable for micro-hole machining. By applying the response surface methodology, the experimental plan was made of three factors and three levels: machining time, duty factor, and voltage. The regression equation was obtained through experiments. Then, by referring to the main effect diagram, we fixed the duty factor and machining time with little relevance, and solved the equation for the target 900 microns to obtain the voltage value. The results obtained from the response surface methodology were approximately those of the target value when the actual experiment was carried out. Therefore, it is concluded that the optimal conditions for hole processing can be obtained by the response surface methodology.

Response Surface Methodology를 이용한 숭어(Mugil cephalus) 반염건품의 개발

박권현 ( Kwon Hyun Park ),허민수 ( Min Soo Heu ),김진수 ( Jin Soo Kim ) 한국수산과학회 2015 한국수산과학회지 Vol.48 No.6

This study examined the optimal salting drying method and processing conditions (salt concentration, soaking time, dry temperature, and drying time) for preparing salted semi-dried common gray mullet (SSD-CGM) Mugil cephalus based on the moisture content, salinity, and overall acceptance using response surface methodology (RSM). The moisture content, salinity, and overall acceptance of SSD-CGM prepared with different salting methods revealed that dry salting was the optimal salting method for preparing high-quality SSD-CGM. The optimal drying method for preparing high-quality SSD-CGM based on the drying velocity and sensory color was hot air-blast drying. The results of the RSM program indicated that the optimal independent variables (X1, salt concentration; X2, soaking time; X3, dry temperature; X4, drying time) based on the dependent variables (Y1, moisture content; Y2, salinity; Y3, overall acceptance) for high-quality SSD-CGM were 5.6% for X1, 2.7 h for X2, 47.0°C for X3, and 8.5 h for X4 for uncoded values. The predicted values of Y1,Y2, and Y3 for SSD-CGM prepared under optimal conditions were 54.4%, 4.2%, and 6.3, respectively, while the experimental values were 55.2±1.0%, 4.1±0.3% and 6.7±0.8. The actual and predicted values did not differ.

반응표면분석법을 이용한 쌀 단백질 초고압 추출조건 최적화

라하나,박사라,김하윤,조용식,김경미 한국식생활문화학회 2019 韓國食生活文化學會誌 Vol.34 No.6

The purpose of this study was to optimize the rice protein extracted using a response surface methodology. Theexperiment was designed based on a CCD (Central Composite Design), and the independent variables were the highpressure (X1, 0-400 MPa) and processing time (X2, 0-10 minutes). The results of the extraction content (Y1), residue content(Y2), and recovery yield (Y3) were fitted to a response surface methodology model (R2= 0.92, 0.92, and 0.93, respectively). Increasing the pressure and processing time has a positive effect on the extraction content (Y1), residue content (Y2), andrecovery yield (Y3). Therefore, these high-pressure conditions (independent variables) can significantly affect theimprovement in rice protein extraction efficiency. Thus, the optimal conditions of X1 and X2 were 400 MPa and 10 min.,respectively. Under these optimal conditions, the predicted values of Y1, Y2, and Y3 were 62.93, 57.53 mg/g, and 91.76%,respectively.

Responsive Surface Methodology Optimizes Extraction Conditions of Industrial by-products, <i>Camellia japonica</i> Seed Cake

Kim, Jae Kyeom,Lim, Ho-Jeong,Kim, Mi-So,Choi, Soo Jung,Kim, Mi-Jeong,Kim, Cho Rong,Shin, Dong-Hoon,Shin, Eui-Cheol Medknow PublicationsMedia Pvt Ltd 2016 Pharmacognosy magazine Vol.12 No.47

<P><B>Background:</B></P><P>The central nervous system is easily damaged by oxidative stress due to high oxygen consumption and poor defensive capacity. Hence, multiple studies have demonstrated that inhibiting oxidative stress-induced damage, through an antioxidant-rich diet, might be a reasonable approach to prevent neurodegenerative disease.</P><P><B>Objective:</B></P><P>In the present study, response surface methodology was utilized to optimize the extraction for neuro-protective constituents of <I>Camellia japonica</I> byproducts.</P><P><B>Materials and Methods:</B></P><P>Rat pheochromocytoma cells were used to evaluate protective potential of <I>Camellia japonica</I> byproducts.</P><P><B>Results:</B></P><P>Optimum conditions were 33.84 min, 75.24%, and 75.82°C for time, ethanol concentration and temperature. Further, we demonstrated that major organic acid contents were significantly impacted by the extraction conditions, which may explain varying magnitude of protective potential between fractions.</P><P><B>Conclusions:</B></P><P>Given the paucity of information in regards to defatted <I>C. japonica</I> seed cake and their health promoting potential, our results herein provide interesting preliminary data for utilization of this byproduct from oil processing in both academic and industrial applications.</P><P><B>SUMMARY</B></P><P><P>Neuro-protective potential of <I>C. japonica</I> seed cake on cell viability was affected by extraction conditions</P><P>Extraction conditions effectively influenced on active constituents of <I>C. japonica</I> seed cake</P><P>Biological activity of <I>C. japonica</I> seed cake was optimized by the responsive surface methodology.</P></P> >[FIG OMISSION]</BR><P><B>Abbreviations used:</B> GC-MS: Gas chromatography-mass spectrometer, MTT: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, PC12 cells: Pheochromocytoma, RSM: Response surface methodology.</P>