• Title/Summary/Keyword: Yield response

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Analysis of Extruded Pectin Extraction from Apple Pomace by Response Surface Methodology

  • Shin, Hae-Hun;Kim, Chong-Tai;Cho, Yong-Jin;Hwang, Jae-Kwan
    • Food Science and Biotechnology
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    • v.14 no.1
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    • pp.28-31
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    • 2005
  • To extract apple pectins, apple pomace (AP) was extruded under 14 different conditions of screw speed (250-350 rpm), feed rate of 30-40 kg/hr, and 20-30% moisture content using twin-screw extrusion. Response surface methodology (RSM), based on three variables by three-level factorial design, was employed to investigate effects of screw speed, feed rate, and moisture on dependent variables of extrudates, soluble dietary fiber (SDF), yield of anhydrogalacturonic acid ($Y_{AGA}$) representing pectin, and intrinsic viscosity ([${\eta}$]). Second order models were used to generate three-dimensional response surface for dependent variables, and their coefficients of determination ($R^2$) ranged from 0.96 to 0.99. Moisture content showed highest effect on solubilization of AP.

Optimization of Extraction Process for Antioxidant from Persimmon Leaf and Thistle Using Response Surface Methodology (반응표면분석법을 이용한 감잎과 엉겅퀴로부터 항산화성분의 추출공정 최적화)

  • Lee, Seung Bum;Jang, Hyun Sick;Hong, In Kwon
    • Applied Chemistry for Engineering
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    • v.28 no.4
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    • pp.442-447
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    • 2017
  • In this study, we extracted an antioxidant from natural products which are known to have a high antioxidant content and also optimized the extraction process by applying a response surface methodology (RSM). In addition, by measuring the total flavonoids and total polyphenols of the active ingredient extracted persimmon leaf and thistle, the functionality of the active ingredient was evaluated. Both ultrapure water and alcohol were used as extraction solvents and the ratio of ultrapure and alcohol, amount of sample, extraction time, extraction temperature were set as independence variables. Also, the yield, total polyphenols, and flavonoids was set as the response. Optimal extraction conditions were as follows; for persimmon leaf, the extraction time = 3.1 h, ratio of alcohol/ultrapure = 63.4 vol%, and temperature = $54.6^{\circ}C$ while for thistle the extraction time = 2.9 h, ratio of alcohol/ultrapure = 40.7 vol%, and temperature = $68.4^{\circ}C$. Also, the response were as follows; for persimmon leaf, the yield = 27.7%, total polyphenols = 33.2 mg GAE/g, and total flavonoids = 47.8 mg QE/mg dw, whereas for thistle the yield = 27.0%, total polyphenols = 17.9 mg GAE/g, and total flavonoids = 28.8 mg QE/mg dw at the optimal conditions. The overall satisfaction level was 71.7%.

Grain Yield Response of CERES-Barley Adjusted for Domestic Cultivars to the Simultaneous Changes in Temperature, Precipitation, and CO2 Concentration (기온, 강수량, 이산화탄소농도 변화에 따른 CERES-Barley 국내품종의 종실수량 반응)

  • Kim, Dae-Jun;Roh, Jae-Hwan;Yun, Jin I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.4
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    • pp.312-319
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    • 2013
  • Our understanding of the sensitivities of crop responses to changes in carbon dioxide, temperature, and water is limited, which makes it difficult to fully utilize crop models in assessing the impact of climate change on future agricultural production. Genetic coefficients of CERES-Barley model for major domestic cultivars in South Korea (Olbori at Suwon, Albori at Milyang, Saessalbori at Iksan, and Samdobori at Jinju) were estimated from the observed data for daily weather and field trials for more than 10 years by using GenCalc in DSSAT. Data from 1997-2002 annual crop status report (Rural Development Administration, RDA) were used to validate the crop coefficients. The sitecalibrated CERES-Barley model was used to perform crop growth simulation with the 99 treatments of step change combinations in temperature, precipitation and carbon dioxide concentration with respect to the baseline climate (1981-2010) at four sites. The upper boundary corresponds to the 2071-2100 climate outlook from the RCP 8.5 scenario. The response surface of grain yield showed a distinct pattern of model behavior under the combined change in environmental variables. The simulated grain yield was most sensitive to $CO_2$ concentration, least sensitive to precipitation, and showing a variable response to temperature depending on cultivar. The emulated impacts of response surfaces are expected to facilitate assessment of projected climate impacts on a given cultivar in South Korea.

Demand response modification factor for the investigation of inelastic response of base isolated structures

  • Cheraghi, Rashid Eddin;Izadifarda, Ramezan Ali
    • Earthquakes and Structures
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    • v.5 no.1
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    • pp.23-48
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    • 2013
  • In this study, the effect of flexibility of superstructures and nonlinear characteristics of LRB (Lead Rubber Bearing) isolator on inelastic response of base isolated structures is investigated. To demonstrate the intensity of damage in superstructures, demand response modification factor without the consideration of damping reduction factor, demand RI, is used and the N2 method is applied to compute this factor. To evaluate the influence of superstructure flexibility on inelastic response of base isolated structures, different steel intermediate moment resisting frames with different heights have been investigated. In lead rubber bearing, the rubber provides flexibility and the lead is the source of damping; variations of aforementioned characteristics are also investigated on inelastic response of superstructures. It is observed that an increase in height of superstructure leads to higher value of demand RI till 4-story frame but afterward this factor remains constant; in other words, an increase in height until 4-story frame causes more damage in the superstructure but after that superstructure's damage is equal to the 4-story frame's. The results demonstrate that the low value of second stiffness (rubber stiffness in LRBs) tends to show a significant decrease in demand RI. Increase in value of characteristic strength (yield strength of the lead in LRBs) leads to decrease in the demand RI.

Optimization of the High-Pressure Condition for Rice Protein Extracting Using Response Surface Methodology (RSM) (반응표면분석법을 이용한 쌀 단백질 초고압 추출조건 최적화)

  • Ra, Ha-Na;Park, Sa-Ra;Kim, Ha-Yun;Cho, Yong-Sik;Kim, Kyung-Mi
    • Journal of the Korean Society of Food Culture
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    • v.34 no.6
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    • pp.779-784
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    • 2019
  • The purpose of this study was to optimize the rice protein extracted using a response surface methodology. The experiment was designed based on a CCD (Central Composite Design), and the independent variables were the high pressure (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), and recovery yield (Y3). Therefore, these high-pressure conditions (independent variables) can significantly affect the improvement 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.

Optimization of Crude Protein Recovery from Papaya Latex Extract Using Response Surface Methodology (반응표면 분석법을 이용한 Papaya 유액추출물에서 Crude Protein 회수 조건의 최적화)

  • Oh, Hoon-Il;Oh, Sang-Joon;Kim, Jeong-Mee
    • Korean Journal of Food Science and Technology
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    • v.29 no.4
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    • pp.752-757
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    • 1997
  • Crude papain extracted at optimum condition was purified with an ethanol precipitation method. Four factors of protein recovery method were optimized by response surface methodology (RSM) and the function was expressed in terms of a quadratic polynomial equation. Adequacy of the model equation for optimum response values was tested and optimum conditions of protein recovery were 38.2 mg/mL of protein, ethanol concentration of 40% and precipitation temperature of $-8^{\circ}C$. The experimental value (68.97%) for recovery yield was closed to the predicted value (77.28%) under these conditions.

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Loading Rate Effect on the Lateral Response of H-Shape Steel Column (재하속도가 H-형강 기둥부재의 횡방향 거동에 미치는 영향)

  • Park, Minseok;Kim, Chul-Young;Han, Jongwook;Chae, Yunbyeong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.6
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    • pp.637-644
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    • 2021
  • Dynamic response of structures can be evaluated experimentally by conducting cyclic loading tests. It has been known that steel materials are rate-dependent and the lateral response of a structure is significantly affected by the presence of axial force. However, the rate-dependency of steel column structures subjected to both axial and lateral loads has not been sufficiently studied yet due to the difficulty of controlling the axial force in a real-time manner during test. This study introduces an advanced way to apply the axial load in real-time to a column specimen using the adaptive time series (ATS) compensator and the flexible loading beam (FLB), where the H-shape steel columns made of SS275 are used for monotonic and cyclic loading tests with various loading rates with axial loads. The lateral strength and post-yield response of the steel columns are compared for each of monotonic and cyclic loading tests. The estimating equation of yield stress of various strain rate has proposed and finite element analysis were performed for comparison.

Moment-rotational analysis of soil during mining induced ground movements by hybrid machine learning assisted quantification models of ELM-SVM

  • Dai, Bibo;Xu, Zhijun;Zeng, Jie;Zandi, Yousef;Rahimi, Abouzar;Pourkhorshidi, Sara;Khadimallah, Mohamed Amine;Zhao, Xingdong;El-Arab, Islam Ezz
    • Steel and Composite Structures
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    • v.41 no.6
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    • pp.831-850
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    • 2021
  • Surface subsidence caused by mining subsidence has an impact on neighboring structures and utilities. In other words, subsurface voids created by mining or tunneling activities induce soil movement, exposing buildings to physical and/or functional destruction. Soil-structure is evaluated employing probability distribution laws to account for their uncertainty and complexity to estimate structural vulnerability. In this study, to investigate the displacement field and surface settlement profile caused by mining subsidence, on the basis of a Winklersoil model, analytical equations for the moment-rotation response ofsoil during mining induced ground movements are developed. To define the full static moment-rotation response, an equation for the uplift-yield state is constructed and integrated with equations for the uplift- and yield-only conditions. The constructed model's findings reveal that the inverse of the factor of safety (x) has a considerable influence on the moment-rotation curve. The maximal moment-rotation response of the footing is defined by X = 0:6. Despite the use of Winkler model, the computed moment-rotation response results derived from the literature were analyzed through the ELM-SVM hybrid of Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Also, Monte Carlo simulations are used to apply continuous random parameters to assess the transmission of ground motions to structures. Following the findings of RMSE and R2, the results show that the choice of probabilistic laws of input parameters has a substantial impact on the outcome of analysis performed.

Growth and Yield Response of Transgenic Rice Plants Expressing Protoporphyrinogen Oxidase Gene from Bacillus subtilis

  • Kuk, Yong-In;Chung, Jung-Sung;Sunyo Jung;Kyoungwhan Back;Kim, Han-Yong;Guh, Ja-Ock
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.48 no.4
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    • pp.326-333
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    • 2003
  • Transgenic rice plants expressing a Bacillus subtilis protoporphyrinogen oxidase (Protox), the last shared enzyme of the porphyrin pathway in the expressed cytoplasm or the plastids, were compared with non-trangenic rice plants in their growth characteristics such as tiller number, plant height, biomass, and yield. Transgenic rice plants of $\textrm{T}_3$ generation had 8 to 15 % and 25 to 43% increases in tiller number compared to non-transgenic rice plants at 4 and 8 weeks after transplanting(WAT); similar values were observed for $\textrm{T}_4$ generation at 4 and 8 WAT. However, the plant height in both $\textrm{T}_3$ and $\textrm{T}_4$ generations was similar between transgenic rice plants and non-transgenic rice plants at 4 and 8 WAT. Transgenic rice plants had 13 to 32% increase in above-ground biomass and 9 to 28% increase in grain yield compared to non-transgenic rice plants, demonstrating that biomass and yield correlate with each other. The increased grain yield of the transgenic rice plants was closely associated with the increased panicle number per plant. The percent of filled grain, thousand grains and spikelet number per panicle were similar between transgenic and non-transgenic rice plants. Generally, the growth and yield of transgenic generations ($\textrm{T}_2$, $\textrm{T}_3$, and $\textrm{T}_4$) and gene expressing sites (cytoplasm-expressed and plastid-targeted transgenic rice plants) were similar, although they slightly varied with generations as well as with gene expressing sites. The transgenic rice plants had promotive effects, indicating that regulation of the porphyrin pathway by expression of B. subtilis Protox in rice influences plant growth and yield.

Prediction of Corn Yield based on Different Climate Scenarios using Aquacrop Model in Dangme East District of Ghana (Aquacrop 모형을 이용한 Ghana Dangme 동부지역 기후변화 시나리오 기반 옥수수 생산량 예측)

  • Twumasi, George Blay;Junaid, Ahmad Mirza;Shin, Yongchul;Choi, Kyung Sook
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.1
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    • pp.71-79
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    • 2017
  • Climate change phenomenon is posing a serious threat to sustainable corn production in Ghana. This study investigated the impacts of climate change on the rain-fed corn yield in the Dangme East district, Ghana by using Aquacrop model with a daily weather data set of 22-year from 1992 to 2013. Analysis of the weather data showed that the area is facing a warming trend as the numbers of years hotter and drier than the normal seemed to be increasing. Aquacrop model was assessed using the limited observed data to verify model's sufficiency, and showed credible results of $R^2$ and Nash-Sutcliffe efficiency (NSE). In order to simulate the corn yield response to climate variability four climate change scenarios were designed by varying long-term average temperature in the range of ${\pm}1^{\circ}C{\sim}{\pm}3^{\circ}C$ and average annual rainfall to ${\pm}5%{\sim}{\pm}30%$, respectively. Generally, the corn yield was negatively correlated to temperature rise and rainfall reduction. Rainfall variations showed more prominent impacts on the corn yield than that of temperature variations. The reduction in average rainfall would instantly limit the crop growth rate and the corn yield irrespective of the temperature variations.