• 제목/요약/키워드: Production resources

검색결과 5,150건 처리시간 0.032초

Effect of Sta-Green on Leaf and Stem Production of Angelica acutiloba

  • Choi Seong-Kyu
    • Plant Resources
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    • 제8권1호
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    • pp.13-16
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    • 2005
  • This study was conducted to develop effective production system in greenhouse for leaves and stems of Angelica acutiloba by fertilizing of Sta-Green in pots. The results obtained are summarized as follows. Germination rate of Angelica acutiloba seeds collected in 2003 was $13\%$, while germination rate of seeds Collected in 2004 was above $91\%$. Seed germination rate and plant biomass of Angelica acutiloba collected in 2004 were higher than seed gathering in 2003. Especially, plant growth and yield of Angelica acutiloba grown in pot(The pots was filled with soil mixtures of Sta-Green and Peat Moss mixed with 45:55 ratio.) was the highest. These results indicate that leaf and stem production of Angelica acutiloba can be improved by fertilizing of Sta-Green in pots and optimizing seed collecting time in greenhouse.

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Leaf and Stem Production of Angelica acutiloba by Activated Carbon in Green House

  • Choi Seong-Kyu;Park Young-Tae
    • Plant Resources
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    • 제8권1호
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    • pp.71-74
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    • 2005
  • Activated carbon(AC) can be utilized as a soil conditioner in agricultural crop areas. This study was conducted to investigate the effect of AC on Leaf and Stem Production of Angelica acutiloba as affected by different amounts of AC. The results obtained are summarized as follows. Growth characteristics including plant height and leaf length were the highest when activated carbon added with 10, suggesting that optimum amount of activated carbon was ranged from 10 to $20\%$. Growth and enlargement of the root were improved by $10\%$ AC.

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A Study on CNN based Production Yield Prediction Algorithm for Increasing Process Efficiency of Biogas Plant

  • Shin, Jaekwon;Kim, Jintae;Lee, Beomhee;Lee, Junghoon;Lee, Jisung;Jeong, Seongyeob;Chang, Soonwoong
    • International journal of advanced smart convergence
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    • 제7권1호
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    • pp.42-47
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    • 2018
  • Recently, as the demand for limited resources continues to rise and problems of resource depletion rise worldwide, the importance of renewable energy is gradually increasing. In order to solve these problems, various methods such as energy conservation and alternative energy development have been suggested, and biogas, which can utilize the gas produced from biomass as fuel, is also receiving attention as the next generation of innovative renewable energy. New and renewable energy using biogas is an energy production method that is expected to be possible in large scale because it can supply energy with high efficiency in compliance with energy supply method of recycling conventional resources. In order to more efficiently produce and manage these biogas, a biogas plant has emerged. In recent years, a large number of biogas plants have been installed and operated in various locations. Organic wastes corresponding to biogas production resources in a biogas plant exist in a wide variety of types, and each of the incoming raw materials is processed in different processes. Because such a process is required, the case where the biogas plant process is inefficiently operated is continuously occurring, and the economic cost consumed for the operation of the biogas production relative to the generated biogas production is further increased. In order to solve such problems, various attempts such as process analysis and feedback based on the feedstock have been continued but it is a passive method and very limited to operate a medium/large scale biogas plant. In this paper, we propose "CNN-based production yield prediction algorithm for increasing process efficiency of biogas plant" for efficient operation of biogas plant process. Based on CNN-based production yield forecasting, which is one of the deep-leaning technologies, it enables mechanical analysis of the process operation process and provides a solution for optimal process operation due to process-related accumulated data analyzed by the automated process.

Improvement of Lutein and Zeaxanthin Production in Mychonastes sp. 247 by Optimizing Light Intensity and Culture Salinity Conditions

  • Seong-Joo Hong;Kyung June Yim;Young-Jin Ryu;Choul-Gyun Lee;Hyun-Jin Jang;Ji Young Jung;Z-Hun Kim
    • Journal of Microbiology and Biotechnology
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    • 제33권2호
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    • pp.260-267
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    • 2023
  • In this study, we sought to improve lutein and zeaxanthin production in Mychonastes sp. 247 and investigated the effect of environmental factors on lutein and zeaxanthin productivity in Mychonastes sp. The basic medium selection and N:P ratio were adjusted to maximize cell growth in one-stage culture, and lutein and zeaxanthin production conditions were optimized using a central composite design for two-stage culture. The maximum lutein production was observed at a light intensity of 60 μE/m2/s and salinity of 0.49%, and the maximum zeaxanthin production was observed at a light intensity of 532 μE/m2/s and salinity of 0.78%. Lutein and zeaxanthin production in the optimized medium increased by up to 2 and 2.6 folds, respectively, compared to that in the basic medium. Based on these results, we concluded that the optimal conditions for lutein and zeaxanthin production are different and that optimization of light intensity and culture salinity conditions may help increase carotenoid production. This study presents a useful and potential strategy for optimizing microalgal culture conditions to improve the productivity of lutein and zeaxanthin, which has applications in the functional food field.

Xylanase Production by Bacillus sp. A-6 Isolated from Rice Bran

  • Lee, Jun-Ho;Choi, Suk-Ho
    • Journal of Microbiology and Biotechnology
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    • 제16권12호
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    • pp.1856-1861
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    • 2006
  • A Bacillus sp. A-6 strain that produced xylanase was isolated from rice bran. The optimal temperature and pH for xylanase activity of the culture supernatant of Bacillus sp. A-6 were 40$^{\circ}C$ and pH 7, respectively. The optimal temperature and pH for xylanase production in the xylan medium were 30$^{\circ}C$ and pH 9, respectively. The optimal concentrations of oat spelt xylan and peptone for xylanase production were 0.5% and 1.5%, respectively. The best nitrogen sources for xylanase production was beef extract, but xylanase production was also supported comparably by tryptone and peptone. The bacterial growth in the optimal xylan medium reached stationary growth phase after 12 h of incubation. The xylanase production in the culture supernatant increased dramatically during the initial 12 h exponential growth phase and then remained constant at 23.8-24.5 unit/ml during the stationary growth phase. The pH of the culture medium decreased from 8.8 to 6.7 during the exponential growth phase and subsequently increased to 8.1 during the stationary growth phase. Rice bran, sorghum bran, and wheat bran as well as oat spelt xylan induced xylanase production. The xylanase production was repressed when glucose was added to the xylan-containing medium.

Anti-inflammatory Effect of Leaves Extracts from Aralia cordata through Inhibition of NF-κB and MAPKs Signaling in LPS-stimulated RAW264.7 Cells

  • Ji, Eo Hyun;Kim, Da Som;Sim, Su Jin;Park, Gwang Hun;Song, Jeong Ho;Jeong, Jin Boo;Kim, Nahyun
    • 한국자원식물학회지
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    • 제31권6호
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    • pp.634-640
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    • 2018
  • Aralia cordata (A. cordata), which belongs to Araliaceae, is a perennial herb widely distributed in East Asia. We evaluated the anti-inflammatory effect of stems (AC-S), roots (AC-R) and leaves (AC-L) extracted with 100% methanol of A. cordata and elucidated the potential signaling pathway in LPS-stimulated RAW264.7 cells. The AC-L showed a strong anti-inflammatory activity through inhibition of NO production. AC-L dose-dependently inhibited NO production by suppressing iNOS, COX-2 and $IL-{\beta}$ expression in LPS-stimulated RAW264.7 cells. AC-L inhibited the degradation and phosphorylation of $I{\kappa}B-{\alpha}$, which donated to the inhibition of p65 nuclear accumulation and $NF-{\kappa}B$ activation. Furthermore, AC-L suppressed the phosphorylation of ERK1/2 and p38. These results suggested that AC-L may utilize anti-inflammatory activity by blocking $NF-{\kappa}B$ and MAPK signaling pathway and indicated that the AC-L can be used as a natural anti-inflammatory drugs.