• Title/Summary/Keyword: Green Yield

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Improving Biomass Productivity of Freshwater microalga, Parachlorella sp. by Controlling Gas Supply Rate and Light Intensity in a Bubble Column Photobioreactor (가스공급속도 및 광도조절을 이용한 담수미세조류 Parachlorella sp.의 바이오매스 생산성 향상)

  • Z-Hun Kim;Kyung Jun Yim;Seong-Joo Hong;Huisoo Jang;Hyun-Jin Jang;Suk Min Yun;Seung Hwan Lee;Choul-Gyun Lee;Chang Soo Lee
    • Journal of Marine Bioscience and Biotechnology
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    • v.15 no.2
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    • pp.41-48
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    • 2023
  • The objective of the present study was to improve the biomass productivity of newly isolated freshwater green microalga Parachlorella sp. This was accomplished by culture conditions optimization, including CO2 concentration, superficial gas velocity, and light intensity, in 0.5 L bubble column photobioreactors. The supplied CO2 concentration and gas velocity varied from 0.032% (air) to 10% and 0.02 m/s - 0.11 m/s, respectively, to evaluate their effects on growth kinetics. Next, to maximize the production rate of Parachlorella sp., a lumostatic operation based on a specific light uptake rate (qe) was applied. From these results, the optimal CO2 concentration in the supplied gas and the gas velocity were determined to be 5% and 0.064 m/s, respectively. For the lumostatic operation at 10.2 µmol/g/s, biomass productivity and photon yield showed significant increases of 83% and 66%, respectively, relative to cultures under constant light intensity. These results indicate that the biomass productivity of Parachlorella sp. can be improved by optimizing gas properties and light control as cell concentrations vary over time.

Comparison of color and water extracts of Caragana sinica flowers dried at different air temperatures (열풍건조 온도를 달리한 골담초 꽃의 색과 추출물 특성)

  • Hye-Jung Choi;Kwang-Sup Youn;Hun-Sik Chung
    • Food Science and Preservation
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    • v.30 no.5
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    • pp.868-874
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    • 2023
  • This study aimed to investigate the drying characteristics of Caragana sinica Rehder flowers, which are basic data necessary for increasing utilization. The flowers were harvested in mid-April and dried at different hot-air temperatures (50-90℃), and the physicochemical properties of the dried flowers were analyzed. It was found that the drying rate was proportional to the air temperature. The visual color of dried flowers was relatively strong in green when dried at 50℃, while browning was relatively severe when dried at 90℃. The greenness (-a* value) of the mechanical color of the powder decreased with increasing temperature, and the yellowness (b* value) decreased with increasing temperature above 70℃. The soluble solids of the hot water extract were maintained at a certain level after increasing up to 70℃, and the pH decreased with increasing temperature. The total polyphenol contents tended to increase with increasing temperature, and DPPH radical scavenging activity did not show a significant change after increasing up to 70℃. These results suggest that the hot-air drying temperature had a significant effect on the physicochemical characteristics of the C. sinica flower. The appropriate hot-air drying temperature was judged to be less than 50℃ for maintaining the unique color, and approximately 70℃ considering the high hot-water extraction yield and antioxidant capacity.

Study on Crude Oil Productions and its practice with Rice hull As Treated in Various Supercritical Solvents on Application of Liquefaction Technology (Liquefaction technology 적용 시 왕겨를 이용한 Crude oil 생산 및 적용 연구)

  • Shin, JoungDu;Baek, Yi;Hong, Seung-Gil;Kwon, Soon-Ik;Park, Woo-Kyun;Park, SangWon
    • Journal of the Korea Organic Resources Recycling Association
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    • v.18 no.1
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    • pp.110-118
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    • 2010
  • Supercritical treatment of liquefaction technology for rice hull was investigated the biomass conversion rate and evaluated its crude oil in respect to feasibility of burner in order to heat the green house. The reaction was carried out in a 5,000 mL liquefaction system with dispenser and external electrical furnace. Raw materials (160 g) of rice hull and 3,000 mL of different solvents were fed into the reactor. It was observed that the maximum crude oil yield was about 84.4 % with 1-butanol. The calorific value of crude oil from ethanol solvent were 7,752 kcal/kg. Furthermore, in case study of co-solvent with ethanol and bulk-glycerol, it observed that more than 80 % of rice hull was decomposed and liquefied in its solvent at $315{\sim}326^{\circ}C$ for 30 min. For the development of applicable bio-fuel from rice hull, it was considered that its feasibility is necessary to be carried out for co-solvent soluble portions. Regarding to utilize the crude oil into burner as fuel, it was observed that its calorific value was lower at approximately 24 % than the diesel. Also, flame length from crude oil at lower temperature was decreasing due to incomplete incineration. The temperature of warm wind on the burner was maintained between 63 and $65^{\circ}C$, and the temperature of emission line was appeared at $350{\sim}380^{\circ}C$.

Effect of Extraction Process on the Physicochemical Characteristics of Seed Oil of Camellia sinensis (추출 공정에 따른 Camellia sinensis 오일의 물리화학적 특성에 관한 연구)

  • Kim, Youn-Soon;Kim, Ran;Na, Myung-Soon;Choi, DuBok
    • Applied Chemistry for Engineering
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    • v.21 no.2
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    • pp.148-153
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    • 2010
  • This study was carried out to investigate the effect of extraction methods on the physicochemical characteristics using seed oil of wild green tea (Camellia sinensis). When the solvent extraction method after grinding and steam treatment (SGS) was used for oil extraction, the yield was highest. The specific gravity was a range of $0.91{\sim}0.94g/cm^{3}$ irrespective of extraction methods of oil. However, the light in the solvent extraction method after grinding (SG), the red in the pressure extraction method after grinding and roasting treatment (PGR), and the yellow in SG method were highest. Among various fatty acids, the concentrations of C16 : 0, C18 : 1 and C18 : 2 were highest, irrespective of extraction methods. Especially, the C16 : 0 concentration was in the order of SG (34.78%), SGS (23.04%), and PRGS method (23.01%), the C18 : 1 concentration was in the order of PGR (43.35%), SGS (42.7%), SG method (39.0%), and in the case of C18 : 2, it was in order of PGR (23.15%), SGS (23.03%), and SG method (15.01%). The saturated fatty acid concentration was in the order of SG (40.59%), PGR (31.61%), and SGS method (30.1%). On the other hand, in the case of the unsaturated fatty acid, it was in the order of SGS (69.9%), PGR (68.39%), and SG method (59.41%). The acid values in the SGS and SG method after 10 days of storage were in the range of 6~8 mgKOH/g. However, in the case of PGR method, it was increased with the increase of storage time and was 49.3 mgKOH/g after 60 days. The peroxide values in the SGS and SG method were in the range of 60~100 mEq/g from 10 to 60 days of storage. On the other hand, when the storage time was increased from 10 to 30 days, it was sharply increased from 60 to 240 mEq/g. The rancidity was in the order of $Fe^{2+}$, $Cu^{2+}$, $Cr^{2+}$, $Zn^{2+}$ and $Ni^{2+}$, irrespective of extraction methods. Especially, when butylated hydroxyanisole (BHA) was added into oil containing 1.0 ppm of <$Fe^{2+}$, the peroxide value was decreased from 539.4 to 216.6%. These results show that seed oil of Camellia sinensis grown in Iksan can be applied as sources for cosmetics, detergents, food, and pharmaceuticals.

Studies on the Physiological Root Activity and Its Related Characteristics of Rice Varieties for Application to Rice Breeding (수도근의 생리적 활력 및 그 관련형질의 품종차이와 육종상의 이용에 관한 연구)

  • Rae-Kyung Park
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.18
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    • pp.28-53
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    • 1975
  • Experiments on the physiological root activity and its related characteristics of rice varieties were carried out in order to obtain some basic informations for the application of the results obtained to a rice breeding program. A significant positive correlation was found not only among the various characteristics related to conducting and ventilating systems which connects top and root of rice plant, but also between these characteristics and root activity. On the other hand, a significant difference in physiological root activity was recognized among different varieties and also between different groups of recognized 7 rice varieties differing in the their origin. It was also found that varieties with higher root activity (root activity indices) after ear formation stage tended to have more number of lower green leaves and consequently resulted in higher grain yield. Therefore, it may be possible to diagnose indirectly the root activity by examining the number of green leaves of the rice plant at later growth stage when breeders make selections of parent material for crossing or of hybrid lines in pedigree nurseries.

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The Pharmacological Activity of Coffee Fermented Using Monascus purpureus Mycelium Solid-state Culture Depends on the Cultivation Area and Green Coffees Variety (원산지 및 품종에 따라 조제된 홍국균 균사체-고체발효 원두커피의 생리활성)

  • Kim, Hoon;Yu, Kwang-Won;Lee, Jun-Soo;Baek, Gil-Hun;Shin, Ji-Young
    • Korean Journal of Food Science and Technology
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    • v.46 no.1
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    • pp.79-86
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    • 2014
  • In previous work, we fermented coffee beans using solid-state culture with various fungal mycelia to enhance the physiological activity of the coffee. The coffee fermented with Monascus sp. showed a higher physiological activity than non-fermented coffee or other coffees fermented with mushroom mycelium. The aim of this study was to characterize the various fermented coffees with respect to their area of cultivation and their variety using Monascus purpureus (MP) mycelium solid-state culture. Thirty types of green coffee beans, which varied in terms of their cultivation area or variety, were purchased from different suppliers and fermented with MP under optimal conditions. Each MP-fermented coffee was medium roasted and extracted further using hot water (HW) under the same conditions. Of the HW extracts, those derived from MP-Mandheling coffees had the highest yield (13.6-15.5%), and MP-Robusta coffee showed a significantly higher polyphenolic content (3.03 mg gallic acid equivalent/100 mg) and 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulphonic acid) free radical scavenging activity (27.11 mg ascorbic acid equivalent antioxidant capacity/100 mg). Furthermore, in comparison to other MP-fermented coffees at $1,000{\mu}g/mL$, MP-Robusta coffee showed not only the most effective inhibition of tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$) production in LPS-stimulated RAW 264.7 cells (67.1% of that in LPS-stimulated control cells), but also an effective inhibition of lipogenesis in 3T3-L1 adipose cells (22.2% of that in differentiated control cells). In conclusion, these results suggest that Vietnam Robusta coffee beans solid-state fermented with MP mycelium are amenable to industrial applications as a functional coffee beverage or material.

Effectiveness and Preparation of Nano-emulsion of a Rapeseed Oil Extract Originated from Jeju with PIT Emulsifying System (PIT유화시스템을 이용한 제주산 유채씨앗 오일추출물의 나노에멀젼의 제조 및 효과)

  • Joo, Se-Jin;Kim, Hack-Soo;Lee, Jeong-Koo;Lee, Min-Hee;Kim, In-Young
    • Journal of the Korean Applied Science and Technology
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    • v.29 no.3
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    • pp.486-494
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    • 2012
  • Nano-emulsion with phase inversion temperature (PIT) emulsifying system was prepared to use rapeseed oil from originating Jeju in order to apply various cosmetic applications. Natural rape seed oil (NRSO) extraction was extracted using n-hexane as a solvent. NRSO extract showed a light yellowish color of viscous liquid as well as yield was $43{\pm}2.5%$. Acid value was $2.76{\pm}0.5$ and gravity was $0.89{\pm}0.05$. Droplet size of PIT-Yuche-NE with 20wt% of rapeseed oil was 50-120nm (average: $82{\pm}5.8nm$) and zeta potential was -29.5mV. It was thermodynamically good stable emulsion due to $(PEG)_{5-30}$fattyacidether. Some conclusions from the result of characteristic experiment were obtained as follows. First, the anti-oxidative activity was measured by free radical scavenging activity using DPPH (1,1-diphenyl-2-picrylhydrazyl radical). Anti-oxidative activity of PIT-Yuche-NE was $37.2{\pm}6.7%$ on 10mg/mL compared with PIT-Toco-NE (Natural tocopherol nano-emulsion, $28.8{\pm}6.5%$ on 10 mg/mL) and PIT-Nokcha-NE (Green tea extract nano-emulsion, $29.6{\pm}7.2%$ on 10mg/mL). Second, the collagen synthesis activity of PIT-Yuche-NE was $148{\pm}15.2%$ compared with PIT-Toco-NE (Natural tocopherol nano-emulsion, $121{\pm}13.5%$ on 10mg/mL) and PIT-Nokcha-NE (Green tea extract nano-emulsion, $95{\pm}12.7%$ on 10mg/mL). Third, the effectiveness of moisturizing activity of Yuche-CRM with Aramo-TS after 6 hours increase $47{\pm}3.9%$ (*p-value£0.05, n=7) whereas Both Toco-CRM was $30{\pm}5.2%$ (*p-value£0.05, n=7) and Nokcha-CRM was $35{\pm}4.5%$. Therefore, Yuche-CRM has higher moisturizing effect than other two creams. Finally, Nano-emulsion stabilizing rapeseed oil using PIT emulsifying system of this study can be used to apply cosmetics industry and pharmaceutical industry.

Characteristics of marine algae extracts using subcritical water extract method (아임계 추출법을 이용한 해조류 추출물의 특성)

  • Na, Hwan Sik;Kim, Jin Young;Park, Jong Soo;Choi, Gyeong Cheol;Yang, Soo In;Lee, Ji Heon;Cho, Jeong Young;Ma, Seung Jin
    • Food Science and Preservation
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    • v.21 no.1
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    • pp.62-68
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    • 2014
  • This study was performed in order to investigate the functional components of 5 kinds of marine algae. We have collected 5 samples of marine algae, such as the sea mustard (Undaria pinnatifida), sea tangle (Laminaria iaponice), sea weed fusiforme (Hizikia fusiforme), green laver (Entetomotpha), laver (Phophyratenera), which have been harvested in Jeollanam-do. In order to examine the functional effects, 5 kinds of marine algae were extracted with hot water ($80^{\circ}C$, 4 hr), ethanol and methanol (R.T., 4 hr), and subcritical water extract (SWE, 3 MPa, $90^{\circ}C$, $150^{\circ}C$, $210^{\circ}C$). A higher yield of extract was obtained through SWE method (3 MPa, $210^{\circ}C$) in all of the samples obtained. The highest total sugar content was 427.4 mg/g in green laver extracted with SWE (3 MPa, $210^{\circ}C$). The content of the SWE total phenolic compounds was higher than that of the water and solvent (methanol, ethanol) extracts. The anti-oxidative activities of the extracts from 5 kinds of marine algae were examined through the DPPH radical scavenging activity test. The SWE (3 MPa, $150^{\circ}C$ and $210^{\circ}C$) of the marine algae was the highest among all of the extracts. As per the results, the SWE of the marine algae contained more functional components and it had a higher antioxidant activity than those of the other extracts. The $IC_{50}$ value of tyrosinase in seaweed fusiforme and laver were higher than those of the other samples. These results strongly support the possible use of marine algae as functional materials.

Overview and Prospective of Satellite Chlorophyll-a Concentration Retrieval Algorithms Suitable for Coastal Turbid Sea Waters (연안 혼탁 해수에 적합한 위성 클로로필-a 농도 산출 알고리즘 개관과 전망)

  • Park, Ji-Eun;Park, Kyung-Ae;Lee, Ji-Hyun
    • Journal of the Korean earth science society
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    • v.42 no.3
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    • pp.247-263
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    • 2021
  • Climate change has been accelerating in coastal waters recently; therefore, the importance of coastal environmental monitoring is also increasing. Chlorophyll-a concentration, an important marine variable, in the surface layer of the global ocean has been retrieved for decades through various ocean color satellites and utilized in various research fields. However, the commonly used chlorophyll-a concentration algorithm is only suitable for application in clear water and cannot be applied to turbid waters because significant errors are caused by differences in their distinct components and optical properties. In addition, designing a standard algorithm for coastal waters is difficult because of differences in various optical characteristics depending on the coastal area. To overcome this problem, various algorithms have been developed and used considering the components and the variations in the optical properties of coastal waters with high turbidity. Chlorophyll-a concentration retrieval algorithms can be categorized into empirical algorithms, semi-analytic algorithms, and machine learning algorithms. These algorithms mainly use the blue-green band ratio based on the reflective spectrum of sea water as the basic form. In constrast, algorithms developed for turbid water utilizes the green-red band ratio, the red-near-infrared band ratio, and the inherent optical properties to compensate for the effect of dissolved organisms and suspended sediments in coastal area. Reliable retrieval of satellite chlorophyll-a concentration from turbid waters is essential for monitoring the coastal environment and understanding changes in the marine ecosystem. Therefore, this study summarizes the pre-existing algorithms that have been utilized for monitoring turbid Case 2 water and presents the problems associated with the mornitoring and study of seas around the Korean Peninsula. We also summarize the prospective for future ocean color satellites, which can yield more accurate and diverse results regarding the ecological environment with the development of multi-spectral and hyperspectral sensors.

Deep Learning Approaches for Accurate Weed Area Assessment in Maize Fields (딥러닝 기반 옥수수 포장의 잡초 면적 평가)

  • Hyeok-jin Bak;Dongwon Kwon;Wan-Gyu Sang;Ho-young Ban;Sungyul Chang;Jae-Kyeong Baek;Yun-Ho Lee;Woo-jin Im;Myung-chul Seo;Jung-Il Cho
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.1
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    • pp.17-27
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    • 2023
  • Weeds are one of the factors that reduce crop yield through nutrient and photosynthetic competition. Quantification of weed density are an important part of making accurate decisions for precision weeding. In this study, we tried to quantify the density of weeds in images of maize fields taken by unmanned aerial vehicle (UAV). UAV image data collection took place in maize fields from May 17 to June 4, 2021, when maize was in its early growth stage. UAV images were labeled with pixels from maize and those without and the cropped to be used as the input data of the semantic segmentation network for the maize detection model. We trained a model to separate maize from background using the deep learning segmentation networks DeepLabV3+, U-Net, Linknet, and FPN. All four models showed pixel accuracy of 0.97, and the mIOU score was 0.76 and 0.74 in DeepLabV3+ and U-Net, higher than 0.69 for Linknet and FPN. Weed density was calculated as the difference between the green area classified as ExGR (Excess green-Excess red) and the maize area predicted by the model. Each image evaluated for weed density was recombined to quantify and visualize the distribution and density of weeds in a wide range of maize fields. We propose a method to quantify weed density for accurate weeding by effectively separating weeds, maize, and background from UAV images of maize fields.