• Title/Summary/Keyword: yield conditions

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Manure Based Duckweed Production in Shallow Sink : Effect of Genera on Biomass and Nutrient Yield of Duckweed under the Same Nutritional and Management Conditions

  • Chowdhury, S.A.;Sultana, N.;Huque, K.S.;Huque, Q.M.E.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.5
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    • pp.686-693
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    • 2000
  • Biomass yield, nutritive value and nutrient utilization efficiency of different genera of duckweed (DW, Lemnaceae) under the same nutritional and management conditions were studied. Three genera of DW namely: Lemna perpusilla, Spirodela polyrhiza and Woljfia arrhiza, were cultivated in 18 plastic sinks each of $59{\times}54{\times}35cm^3$ size. Each sink contained approximately 80 L of water and was charged once with 6.648 kg of anaerobically fermented cow dung effluent. The seed rate for Spirodela, Lemna and Wolffia were 600, 400 and $600g/m^2$ respectively. Duckweed were harvested at 48 hours intervals. Media total N concentration for Lemna and Wolffia gradually increased with time. Growth of duckweed was measured by subtracting the inoculum from the total biomass production. Growth of Spirodela ceased within 4 days but Lemna and Wolffia continue to grow up to 34 days. Bio-mass yield was significantly (p<0.05) higher in Wolffia (906 kg/ha/d) than Lemna (631 kg/ha/d). Dry matter (DM) yield was very similar in Lemna (14.80 kg/ha/d) and Wolffia (14.57 kg/ha/d). The N content was non-significant higher in Lemna (5.45%) than Wolffia (5.00%) and Spirodela (4.6%). The crude protein (CP, $N{\times}6.25$) yield was non-significantly higher in Lemna (4.83 kg/ha/d) than Wolffia (4.32 kg/ha/d). The acid detergent fibre (ADF) content was the highest in Wolffia (28.59%), followed by Spirodela (19.47%) and Lemna (12.39%). Utilization efficiency of CP was 273 and 314% respectively for Wolffia and Lemna. However, similar efficiency values for Spirodela was only 1.5%. Considering the bio-mass yield, nutritive value and nutrient utilization efficiency, production performance of DW were in the order of Lemna>Wolffia>Spirodela under the present experimental conditions.

Dependence of Ozone Generation in a Micro Dielectric Barrier Discharge on Dielectric Material and Micro Gap Length

  • Sakoda, Tatsuya;Sung, Youl-Moon
    • KIEE International Transactions on Electrophysics and Applications
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    • v.4C no.5
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    • pp.201-206
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    • 2004
  • In order to investigate the optimum conditions for the effective ozone formation in a dielectric barrier discharge, measurements of ozone concentration were carried out for various conditions such as the gap length, the dielectric material and the operating gas. It was found that the optimum discharge conditions differed exceedingly in the types of operating gases and dielectric materials. In dry air, dielectric material with low dielectric constant and thermal conductivity, which might contribute to the restriction of the gas temperature rise in the discharge region, proved effective in obtaining both high ozone yield and concentration. The optimum gap length was considered to be in the range of 600-800 mm. In oxygen, using a quartz glass disk as a dielectric material, the required condition to obtain the high ozone yield and concentration was expanded.

Improved Ectoine Production from Methane by Optimization of the Bio-milking Process in Engineered Methylomicrobium alcaliphilum 20Z

  • Lee, Yun Seo;Chai, Hanyu;Cho, Sukhyeong;Na, Jeong Geol;Lee, Jinwon
    • Korean Chemical Engineering Research
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    • v.60 no.3
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    • pp.392-397
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    • 2022
  • Methane is one of the major greenhouse gases, recently, the biotechnological conversion from methane to high-value added chemicals have emerged as an effort to reduce methane gas emission. In this study, we optimized ectoine bio-milking conditions in which cells were repeatedly used to improve intracellular and extracellular ectoine yield from methane by using Methylomicrobium alcaliphilum 20ZDP2. First, the cultivation and intracellular ectoine accumulation conditions were optimized with respect to the growth phase and medium salinity to achieve the highest yield of synthesis. Second, ectoine excretion was optimized by determining the ectoine secretion time (15 min) in appropriate medium salinity under hypoosmotic conditions (1% NaCl). Finally, bio-milking of ectoine was successfully repeated more than 10 times using M. alcaliphilum 20ZDP2, and the ectoine yield was improved up to 129.29 mg/ DCW g.

Optimization of Fluidized Bed Granulating Conditions for Powdered Milk by Response Surface Methodology (반응표면분석에 의한 분유의 유동층 과립공정 최적화)

  • 강현아;신명곤
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.33 no.1
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    • pp.225-228
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    • 2004
  • Optimization of fluidized bed granulating conditions for yield, bulk density, and tapped density of powdered milk was determined using response surface methodology. Yield of powdered milk was greatly affected by feeding rate of water, and bulk density and tapped density could be reduced by decreasing of atomization pressure. The optimum conditions for fluidized bed granulating of powdered milk were predicted with 6$0^{\circ}C$ of inlet air temperature, 16 mL/min of feeding rate, and 2.1 bar of atomization pressure. Also 94% of yield 0.350 g/㎤ of bulk density, and 0.446 g/㎤ of tapped density of powdered milk could be obtained by the optimum granulating conditions.

Boundary Line Analysis of Rice Yield Responses to Meteorological Conditions for Yield Prediction II. Verification of Yield Prediction Model (최대경계선을 이용한 벼 수량의 기상반응분석과 수량 예측 II. 수량예측모형 검증)

  • 김창국;한원식;이변우
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.4 no.3
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    • pp.164-168
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    • 2002
  • Yield prediction model of rice based on the boundary line analysis of the relationships between rice yield and meteorological conditions during rice growing period was reported in the previous report (Kim et al, 2001). Using the 15-year data of the 20 locations used for the model formulation and of the 12 locations not used, the model was tested for its predictability of location to location, year to year, and variety to variety variation of rice yield. The model predicted reliably the mean yield differences among locations, the yearly yield variation in each location, and the yield variation by variety. However, the model showed relatively lower predictability for the years of cool weather injury especially in mountainous locations. In conclusion, the model using boundary line analysis could be used to predict the yield responses to meteorological conditions during rice growth period and the locational, yearly, and varietal variations of rice yield. And the predictability of the present yield prediction model might be improved by including the boundary line analysis for the other factors such as soil characteristics, fertilization levels, etc.

Valorization of galactose into levulinic acid via acid catalysis

  • Kim, Hyo Seon;Jeong, Gwi-Taek
    • Korean Journal of Chemical Engineering
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    • v.35 no.11
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    • pp.2232-2240
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    • 2018
  • We applied methanesulfonic acid (MSA) as a green catalyst to produce levulinic acid (LA) from monomeric sugars. To optimize reaction factors and assess the effect of reciprocal interactions, a statistical experimental design was applied. Optimized result of 40.7% LA yield was obtained under the following conditions: 60 g/L galactose, 0.4 M MSA at $188^{\circ}C$ for 26.7 min. On the other hand, 66.1% LA yield was achieved under 60 g/L fructose and 0.4 M MSA at $188^{\circ}C$ for 36 min conditions. For the effect of combined severity factor on the LA yield from galactose, the LA yield showed a peaked pattern, which was linearly increased until a CSF 3.2 and then diminished with a high CSF. Moreover, it was closely fitted to a non-linear Gaussian peak pattern with a high regression value of 0.989. These results suggest that MSA and galactose, derived from marine red macro-algae, can potentially be applied for the conversion into platform chemicals.

Process Conditions Optimizing the Yield of Power Semiconductors (전력반도체의 수율향상을 위한 최적 공정조건 결정에 관한 연구)

  • Koh, Kwan Ju;Kim, Na Yeon;Kim, Yong Soo
    • Journal of Korean Society for Quality Management
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    • v.47 no.4
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    • pp.725-737
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    • 2019
  • Purpose: We used a data analysis method to improve semiconductor manufacturing yield. We defined and optimized important factors and applied our findings to a real-world process. The semiconductor industry is very cost-competitive; our findings are useful. Methods: We collected data on 15 independent variables and one dependent variable (yield); we removed outliers and missing values. Using SPSS Modeler ver. 18.0, we analyzed the data both continuously and discretely and identified common factors. Results: We optimized two independent variables in terms of process conditions; yield improved. We used DS Leak software to model netting and Contact CD software to model meshes. DS Leak shows smaller the better characterisrics and Contact CD shows normal the best characteristics Conclusion: Various efforts have been made to improve semiconductor manufacturing yields, and many studies have created models or analyzed various characteristics. We not only defined important factors but also showed how to control processing to improve semiconductor yield.

Numerical Analysis on Flow of Cement Paste using 2D-CFD (2차원 CFD를 활용한 시멘트 페이스트의 슬럼프 유동 모사)

  • Yun, Taeyoung
    • International Journal of Highway Engineering
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    • v.19 no.4
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    • pp.19-25
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    • 2017
  • PURPOSES : In this paper, the flow of construction material was simulated using computational fluid dynamics in a 2D axisymmetric condition to evaluate the effect of initial or varying material properties on the final shape of a specimen. METHODS : The CFD model was verified by using a well-known analytical solution for a given test condition followed by performing a sensitivity analysis to evaluate the effect of material properties on the final shape of material. Varying dynamic viscosity and yield stress were also considered. RESULTS : The CFD model in a 2D axisymmetric condition agreed with the analytical solution for most yield stress conditions. Minor disagreements observed at high yield stress conditions indicate improper application of the pure shear assumption for the given material behavior. It was also observed that the variation of yield stress and dynamic viscosity during curing had a meaningful effect on the final shape of the specimen. CONCLUSIONS : It is concluded that CFD modeling in a 2D axisymmetric condition is good enough to evaluate fluidal characteristics of material. The model is able to consider varying yield stress and viscosity during curing. The 3D CFD-DEM coupled model may be required to consider the interaction of aggregates in fluid.

Mathematical Planning for Revealing Optimal Synthetic Conditions of Naphthalene Chloromethylation

  • Pak, V.V.;Karimov, R.K.;Shakhidoyatov, Kh.M.;Yun, L.M.;Soh, D.W.
    • Journal of the Speleological Society of Korea
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    • no.71
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    • pp.1-4
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    • 2006
  • Chloromethylnaphthalene is a valuable compound for obtaining of the plant growing stimulator - -napthylacetic acid. Chloromethylation of naphthalene by paraformaldehyde in the presence of glacial acetic acid, phosphoric and hydrochloric acids at temperature 80 - 85C and duration - 6 hours the -chloromethylnaphthalene yield was 55-57%. Using Box-Wilson method for mathematical planning of experiment carried out optimization of its synthesis for purpose increasing -chloromethylnaphthalene yield. Preliminary, one - factor experiments were carried out for selecting independence main parameters influencing on the synthesis. A full factor experiment of 23 with extended matrix of planning was used for optimization. Aiming to increase the -chloromethylnaphthalene yield, the obtained mathematical model was used for program of sharp raising on the reply surface. The received optimal conditions for the -chloromethylnaphthalene synthesis were selected as following: molar ratio of naphthalene parapfsormaldehyde of 1 : 2 temperature - 105C duration of the reaction - 3 hours. The yield of -chloromethylnaphthalene under these optimal conditions was 75%.

Laccase Production Using Pleurotus ostreatus 1804 Immobilized on PUF Cubes in Batch and Packed Bed Reactors: Influence of Culture Conditions

  • Prasad K. Krishna;Mohan S. Venkata;Bhaskar Y. Vijaya;Ramanaiah S. V.;Babu V. Lalit;Pati B. R.;Sarma P. N.
    • Journal of Microbiology
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    • v.43 no.3
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    • pp.301-307
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    • 2005
  • The feasibility of laccase production by immobilization of Pleurotus ostreatus 1804 on polyurethane foam (PUF) cubes with respect to media composition was studied in both batch and reactor systems. Enhanced laccase yield was evidenced due to immobilization. A relatively high maximum laccase activity of 312.6 U was observed with immobilized mycelia in shake flasks compared to the maximum laccase activity of free mycelia (272.2 U). It is evident from this study that the culture conditions studied, i.e. biomass level, pH, substrate concentration, yeast extract concentration, $Cu^{2+}$ concentration, and alcohol nature, showed significant influence on the laccase yield. Gel electrophoretic analysis showed the molecular weight of the laccase produced by immobilized P. ostreatus to be 66 kDa. The laccase yield was significantly higher and more rapid in the packed bed reactor than in the shake flask experiments. A maximum laccase yield of 392.9 U was observed within 144 h of the fermentation period with complete glucose depletion.