The present study were conducted to determine physiological activities and antioxidant effects [2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, 2,2-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging activity, reducing power, Ferric Reducing Antioxidant Power (FRAP) and Fe2+ (ferrous ion) chelating capacity] of 70% methanol, chloroform:methanol, 2:1 volume ratio (CM) and ethyl acetate extract of turmeric (Curcuma longa L.). Bioactive compound of tannin 0.125±0.007 mg Catechin Equivalent (CE)/g dry weight. Turmeric extracts yield were 70% methanol 16.54%, CM 5.64% and ethyl acetate 4.14%, respectively. Antioxidant activity of the samples exhibited a dose-dependent increase. Results showed that extraction solvent had significant effects on total flavonoid content and antioxidant effects of ethyl acetate. But ferrous ion-chelating capacity of 70% methanol extract was higher than CM and ethyl acetate extract. From the results of this study, turmeric can be utilized as a valuable and potential nutraceutical for the functional food industry.
Studies on the physicochemical properties of physiological activity substance in turmeric (Curcuma longa L.) were analyzed for the use as an functional food materialization. The proximate compositions in the vacuum freeze dried turmeric were carbohydrate 72.90%, moisture 5.74%, crude protein 10.02%, crude fat 4.67%, and crude ash 6.69%, respectively. The mineral contents of turmeric were calcium (Ca) 2,294.77 mg kg-1, potassium (K) 28,780.54 mg kg-1, magnesium (Mg) 2,826.90 mg kg-1, sodium (Na) 1,826.58 mg kg-1, iron (Fe) 190.94 mg kg-1, and manganese (Mn) 620.16 mg kg-1. The vitamin contents of turmeric were pantothenic acid 1.040 mg/100 g, riboflavin 0.166 mg/100 g, thiamin 0.148 mg/100 g, pyridoxine 0.010 mg/100 g, and calciferol 0.008 mg/100 g, respectively. Total amino acid contents in protein of turmeric were 7.66 g%, and major amino acids were aspartic acid 1.45 g%, glutamic acid 1.07 g%, leucine 0.71 g%, phenylalanine 0.47 g%, and arginine 0.46 g%, respectively. The amount of free amino acids of turmeric were 225.81 mg%, and major free amino acids were asparagine, aspartic acid, glutamic acid, serine, and alanine. Especially, in the case of asparagine, it was highest. The compositions of fatty acid were saturated fatty acid 45.09%, monoenes 8.62%, and polyenes 46.30%.
The objective of this study was to estimate the trends of air quality in the study area by analyzing monthly and seasonal concentration trends obtained from sampled data. To this aim, the mass concentrations of PM2.5 in the air were analyzed, as well as those of metals, ions, and total carbon within the PM2.5. The mean concentration of PM2.5 was 22.7 ㎍/㎥. The mass composition of PM2.5 was as follows: 31.1% of ionic species, 2.2% of metallic species, and 26.7% of carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the PM2.5 and exhibited a high correlation coefficient with the mass concentration of PM2.5. Seasonal variations of PM2.5 showed a similar pattern to those of ionic and metallic species, with high concentrations during winter and spring. PM2.5 also had a high correlation with the ionic species NO3 - and NH4 +. In addition, NH4 + was highly correlated with NO3 -. Through factor analysis, we identified four controlling factors, and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor, accounting for 19.1% of PM2.5 was attributed to motor vehicles and heating-related sources: the second factor indicated industry-related sources and secondary particles, and the other factors indicated soil, industry-related and marine sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea, since it was obtained from US EPA. Therefore, to more accurately estimate the pollutants present in the air, a pollution profile for Korea should be produced.
This study was carried out to identify the problems of the underground watersheds on Jeju Island, and to establish the hydraulic groundwater basin to be used as basis for the analysis of the groundwater model. In order to evaluate the adequacy of the groundwater basin on Jeju Island, a correlation analysis between elevation and groundwater level was conducted using data from 125 observation wells. The analysis, conducted with an elevation step of 100 m, exhibited values of R2 in the range 0.1653-0.8011. No clear correlation was observed between elevation and groundwater level. In particular, the eastern and western areas showed an inverse proportionality between elevation and groundwater level. The Kriging technique was used to analyze the underground water level data and to define the equipotential lines for all areas of Jeju Island. Eight groundwater watersheds were delineated by considering the direction of groundwater flow, the positions of the observation wells, and the long and short axes of the watersheds.
This study was carried out to investigate the changes in the amount of 20 free amino acids in PDB (Potato Dextrose Broth) medium during the incubation period while cultivating Lentinula edodes. The total incubation period was 90 days, and the total amount of free amino acids was confirmed every 45 days. Among the 18 kinds of amino acids whose increase and decrease patterns were confirmed, 10 amino acids were increased compared to that in the control, among which cysteine increased from its initial value of 9,889 ± 3 μg/L to 12,909 ± 2 μg/L at 45 days and 29,256 ± 4 μg/L at 90 days. Six amino acids with decreased expression patterns were identified. Arginine decreased to 83,751 ± 2 μg/L after 45 days from its initial value of 161,787 ± 1 μg/L and to 79,055 ± 7 μg/L at 90 days.
The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.
BAT-AEL(Best Available Techniques Associate Emission Level) is the basis for establishing permissible emission standards for the workplace. Therefore, it is necessary to formulate a regulated BAT-AEL setting methodology that is generally applicable to all relevant industries. For the BAT-AEL settings, various factors should be considered such as the pollutants item, whether the workplace is subject to integrated pollution prevention and control, whether BAT is applicable, the basic data type, the emission classification system, and the suitability of the collected data. Among these factors, it is the most important factor to establish the classification system for the emitting facilities such that the emission characteristics of an industrial facility and its pollutants can be effectively reflected. Furthermore the target of the survey workplace should adhere to the BAT guidelines, even if it is a workplace that is subject to an the integrated environmental system. Certified data (SEMS, TMS, cleanSYS, WEMS, etc.) can be used to prioritize the classification system for the emission facility and the emission levels of pollutants. However, the self-measured data, daily logs, and questionnaire data from the workplace can also be used upon agreement of the relevant TWG. The collected data should only be used only when the facility is operating normally. Data that have been determined to be outliers or inappropriate validation methods should also be excluded. The BAT-AEL can be establish by adhering to the following procedure: 1) investigate all relevant workplaces with in the industry, 2)select workplaces for integrated management, 3)Identify BAT application, 4)identify whether BAT is generally applicable, 5)establish a classification system for emitting facilities, 6)collection available data, 7)verify conformity, 8)remove of outliers, 9)prepare the BAT-AEL draft, 10)deliberate, and 11) perform the confirmation procedure.