• Korean Journal of Food Science and Technology
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• v.15 no.2
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• pp.128-132
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• 1983

The apple seed contained 25.96% of crude fat and 37.62% of crude protein. The lipid fractions obtained by cilicic column chromatography were mainly composed of about 93.52% neutral lipid, whereas compound lipid was only 6.48% level. Among the neutral lipid separated by thin layer chromatography, triglyceride was 92.17%, sterol ester, sterol, diglyceride and free fatty acid were 3.53, 2.25, 1.44 and 0.56, respectively. The predominent fatty acids of total and neutral lipids were linoleic acid (59.79-69.37%) and oleic acid (20.04-29.82%), but those of glycolipid and phojspholipid were linoleic acid (29.20-36.04%). The major fatty acids of triglyceride separated from neutral lipid were oleic acid (44.31%), linoleic acid (36.66%) and palmitic acid (12.48%). The salt soluble protein of apple seed was highly dispersible in 0.02M sodium phosphate buffer containing about 1.0M $MgSO_4$, and the extractability of seed protein was 37%, Glutamic acid was the major amino acid in salt soluble protein, followed by arginine and aspartic acid. The eletrophoretic analysis showed three bands in apple seed protein, and the collection rate of the main protein fraction purified by Sephadex G-100 and G-200 was 76.6%. Glutamic acid, aspartic acid and arginine were the major amino acids of the main apple seed protein. The molecular weight for the main protein of the apple seed was estimated to be 45,000.

• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.4
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• pp.333-339
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• 2016

The objective of this study was to optimize analytical methods for ochratoxin A (OTA) and zearalenone (ZEA) in rice straw silage and winter forage crops using ultra-high performance liquid chromatography (UHPLC). Samples free of mycotoxins were spiked with $50{\mu}g/kg$, $250{\mu}g/kg$, or $500{\mu}g/kg$ of OTA and $300{\mu}g/kg$, $1500{\mu}g/kg$, or $3000{\mu}g/kg$ of ZEA. OTA and ZEA were extracted by acetonitrile and cleaned-up using an immunoaffinity column. They were then subjected to analysis with UHPLC equipped with a fluorescence detector. The correlation coefficients of calibration curves showed high linearity ($R^2{\geq_-}0.9999$ for OTA and $R^2{\geq_-}0.9995$ for ZEA). The limit of detection and quantification were $0.1{\mu}g/kg$ and $0.3{\mu}g/kg$, respectively, for OTA and $5{\mu}g/kg$ and $16.7{\mu}g/kg$, respectively, for ZEA. The recovery and relative standard deviation (RSD) of OTA were as follows: rice straw = 84.23~95.33%, 2.59~4.77%; Italian ryegrass = 79.02~95%, 0.86~5.83%; barley = 74.93~97%, 0.85~9.19%; rye = 77.99~96.67%, 0.33~6.26%. The recovery and RSD of ZEA were: rice straw = 109.6~114.22%, 0.67~7.15%; Italian ryegrass = 98.01~109.44%, 1.65~4.81%; barley = 98~113.53%, 0.25~5.85%; rye = 90.44~108.56%, 2.5~4.66%. They both satisfied the standards of European Commission criteria (EC 401-2006) for quantitative analysis. These results showed that the optimized methods could be used for mycotoxin analysis of forages.

• Journal of the Korean Society of Food Science and Nutrition
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• v.12 no.1
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• pp.46-50
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• 1983

In order to find out the possibility of utilizing red pepper seed as food resources of fats and proteins, a series of studies were conducted. The red pepper seed contained 27.6% of crude fat and 22.2% of crude protein. The lipid fractions obtained by silicic acid column chromatography were mainly composed of 95.4% neutral lipid, where as compound lipid were 4.6%. Among the neutral lipid separated by thin layer chromatography, triglyceride was 85.6%, sterol ester 4.9%, free fatty acids 3.4%, diglyceride 2.5%, sterol 2.2% and monoglyceride 1.1%, respectively. The predominant fatty acids of red pepper seed oil were linoleic acid (57.1-75.4%), palmitic acid (13.9-21.3%) and oleic acid (8.0-15.1%), especially glycolipid contained 1.7% of linolenic acid and small amount of myristic acid and arachidic acid. The salt soluble protein of red pepper seed was highly dispersible in 0.02M sodium phosphate buffer containing 1.0M $MgSO_4$, and the extractability of seed protein was about 25.0%. Glutamic acid and arginine were major amino acids of red pepper seed protein. The electrophoretic analysis showed 6 bands in seed protein, and the collection rate of the main protein fraction purified by sephadex G-100 and G-200 was about 62.2%. Glutamic acid (19.9%) was major amino acid of the main protein, followed by glycine and alanine. The molecular weight of the main protein was estimated to be 93,000.

• Korean Journal of Food Science and Technology
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• v.14 no.3
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• pp.250-256
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• 1982

A series of studies were conducted to find out the possibility of utilizing grape seed as resources of food fats and proteins, and the results of the studies are as follows: The grape seed contained 25.1%, of crude fat and 12.0% of crude protein. The lipid, fractions obtained by silicic acid column chromatography were mainly composed of about 95.5% neutral lipid, whereas compound lipid was only 4.5% level. Among the neutral lipid by thin layer chromatography, triglyceride was 91.89%, sterol ester, sterol, diglyceride and free fatty acid were 3.24%, 2.87%, 1.20% and 0.80%, respectively The predominant fatty acids of total and neutral lipids were linoleic acid $(69.72{\sim}71.72%)$ and oleic acid $18.09{\sim}19.46%)$, but those of glycolipid and phospolipid were linoleic acid $(31.49{\sim}38.18%)$, oleic acid $(20.20{\sim}35.27%)$ and palmitic acid $(26.80{\sim}39.98%)$. The major fatty acids of triglyceride separated from neutral lipid were oleic acid (43.08%), linoleic acid (38.42%) and palmitic acid (11.60%). The salt soluble protein of grape seed was highly dispersible in 0.02M sodium phosphate buffer containing about 1.0M $MgSO_4$, and the extractability of seed protein was 31%. Glutamic acid was the major amino acid in salt soluble protein, followed by arginine and aspartic acid. The electrophoretic analysis showed 3 bands in grape seed protein, and the collection rate of the main protein fraction purified by Sephadex G-100 and G-200 was 82%. Glutamic acid, aspartic acid and arginine were the major amino acids of the main grape seed protein. The molecular weight for the main protein of the grape seed was estimated to be 81,000.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.17 no.4
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• pp.291-298
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• 1984

The extracted hagfish (Eptatretus burgeri) flesh lipid was separated into following fractions by column chromatography on Bio-beads SX-2 and Sephadex LH-20 prior to gab chromatographic analysis of their fatty acid compositions: polar lipid, triglyceride and free fatty acid. The major fatty acids of total lipid and triglyceride in hagfish were $C_{16:0},\;C_{16:1},\;and\;C_{18:1}$. The ratio of $C_{18:0}/C_{18:1}$ in the total lipid and triglyceride of hagfish was 0.1. The polar lipid of the hagfish muscle was mainly composed of phosphatidyl choline ($65.5\%$) and phosphatidyl ethanolamine ($28.0\%$). The triglyceride obtained was fractionated into four fractions by HPLC on the basis of partition numbers. Both the fatty acid composition and triglyceride composition on the basis of the total carbon number in the acyl chains of the triglyceride were analysed by the GLC. From the information obtained on triglyceride compositions based on the total carbon number by GLC and the partition number by HPLC and fatty acid composition by GLC, the combination of fatty acid in each triglycerides was estimated. A computer was used for estimation of the fatty acid combination in the triglyceride because hagfish lipid triglyceride was composed of various kinds of fatty acids. Fortyfour kinds of triglyceride were estimated. The major triglycerides in hagfish flesh lipid were found to those of ($1{\times}C_{16:0},\;2{\times}C_{18:1};\;13.5\%$), ($1{\times}C_{16:0},\;1{\times}C_{18:0},\;1{\times}C_{18:1};\;7.2\%$), ($1{\times}C_{16:1},\;2{\times}C_{18:1};\;5.4\%$), ($2{\times}C_{16:0},\;1{\times}C_{22:5};\;5.2\%$), ($1{\times}C_{14:0},\;2{\times}C_{18:1};\;4.5\%$), ($2{\times}C_{18:1},\;1{\times}C_{22:5};\;3.6\%$), ($1{\times}C_{14:0},\;1{\times}C_{18:0},\;1{\times}C_{18:1};\;2.7\%$) and ($1{\times}C_{14:0},\;1{\times}C_{16:0},\;1{\times}C_{18:2};\;2.2\%$).

• Journal of Soil and Groundwater Environment
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• v.11 no.6
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• pp.8-17
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• 2006

Laboratory scale experiments were performed to investigate the removal efficiency of the in-situ chemical oxidation method and the air-sparging method for diesel contaminated soil and groundwater. Two kinds of diesel contaminated soils (TPH concentration : 2,401 mg/kg and 9,551 mg/kg) and groundwater sampled at Busan railroad station were used for the experiments. For batch experiments of chemical oxidation by using 50% hydrogen peroxide solution, TPH concentration of soil decreased to 18% and 15% of initial TPH concentration. For continuous column experiments, more than 70% of initial TPH in soil was removed by using soil flushing with 20% hydrogen peroxide solution, suggesting that most of diesel in soil reacted with hydrogen peroxide and degraded into $CO_2$ or $H_2O$ gases. Batch experiment for the air-sparging method with artificially contaminated groundwater (TPH concentration : 810 mg/L) was performed to evaluate the removal efficiency of the air-sparging method and TPH concentration of groundwater decreased to lower than 5 mg/L (waste water discharge tolerance limit) within 72 hours of air-sparging. For box experiment with diesel contaminated real soil and groundwater, the removal efficiency of air-sparging was very low because of the residual diesel phase existed in soil medium, suggesting that the air-sparging method should be applied to remediate groundwater after the free phase of diesel in soil medium was removed. For the last time, the in-situ box experiment for a unit process mixed the chemical oxidation process with the air-sparging process was performed to remove diesel from soil and groundwater at a time. Soil flushing with 20% hydrogen peroxide solution was applied to diesel contaminated soils in box, and subsequently contaminated groundwater was purified by the air-sparging method. With 23 L of 20% hydrogen peroxide solution and 2,160 L of air-sparging, TPH concentration of soil decreased from 9,551 mg/kg to 390 mg/kg and TPH concentration of groundwater reduced to lower than 5 mg/L. Results suggested that the combination process of the in-situ hydrogen peroxide flushing and the air-sparging has a great possibility to simultaneously remediate fuel contaminated soil and groundwater.

• Korean Journal of Food Science and Technology
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• v.9 no.3
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• pp.211-219
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• 1977

Dehulled and defatted Korean cottonseed flour was extracted with alkaline solution for 30 minutes and had precipitated the crude portein by adjusting pH $1{\sim}12$. The general composition and the amino acid composition of cottonseed protein were analyzed. Crude protein was purified with sephadex G-100 and G-200, and its component had been identified by disc electrophoresis. Toxic gossypol was removed by n-hexane, acetone and other solvents. The results were as follows. (1) pH 5, pH 7 and pH 4 were the best condition of precipitation of curde protein at single, two step and water extraction, respectively. (2) The cottonseed flour which was dehulled and defatted, contained 61.3% of crude protein. (3) The protein which was isolated from cottonseed flour, contained 20% of glutamic acid, and comparatively high levels of essential amino acids. (4) Dehulled cottonseed flour contained 0.97% of total gossypol and could be romoved 70% of total gossypol by extraction with n-hexane. (5) 10-13 bands of water soluble protein were found in disc electrophoresis, and 10-12 bands in protein were isolated by single and two step procedures. (6) The cottonseed protein could be purified by sephadex G-100 and G-200. (7) 10-20% of gossypol-free cottonseed fluor could be used for animal and human comsumption.

• Applied Biological Chemistry
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• v.5
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• pp.23-31
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• 1964

Six species of marine shell-fishes were subjects in this study. The content of RNA and DNA in mid-intestinal glands (liver) was determined and RNA was also extracted from above materials by phenol method and their nucleotide compositions were analysed by ion exchange column chromatography. C; citidylic acid, A; adenylic acid, G; guanylic acid, U; uridylic acid, Pu; purine nucleotide, Py; pyrimidine nucleotide 1) Their RNA and DNA content was summarized in the next table.(mg/100mg of lipid free powder) Materials RNA DNA RNA/DNA Meretrix meretrix Susoria (Gmelin) 6.82 0.82 6.5 Anadara(scapharea) inflata(Reeve) 4.62 0.70 6.6 Ostrea(crassostrea) gigas Thunberg 8.74 1.03 8.5 Turbo cornutus Solander 2.16 0.60 3.6 Haliotis gigantea Gmelin 7.02 0.22 36.0 2) Their RNA nucleatide compositions was summaries in following tabe. Materials/RNA nucleotide G+C/A+U G+U/A+C Pu/Py Meretrix meretrix Susoria(Gmelin) 1.12 1.36 1.08 Venerupis philippinarum (Adoms et Reeve) 1.15 1.31 1.13 Anadara(scapharea) inflata(Reeve) 0.97 1.26 1.02 Ostrea (crassostrea) gigas Thunberg 1.51 1.34 1.31 Turbo cornutus Solander 1.37 1.29 1.03 Haliotis gigantea Gmelin 1.33 1.46 1.22 In six species of marine fishes examined, Pu/Py and G+C/A+U ratios of RNA vary in respective wide ranges of 1.02-1.31, 0.97-1.51, while G+U/A+C ratio in the range of 1.26-1.46, not far from 1.3. This G+U/A+C ratio seems to be specific in this species.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Applied Biological Chemistry
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• v.11
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• pp.1-27
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• 1969

More than thirty kinds of sea food pickles have been eaten in Korea. Out of these salted yellow tail pickle, salted clam pickle, salted oyster pickle, and salted cuttlefish pickle were employed for the analysis of their components, identification of main fermenting microbes, and determination of enzyme characteristics concerned. Also studied was the effect of enzymic action of microbes, which are concerned with the fermenting of pickles, on the production of flavorous 5'-mononucleotides and amino acids. The results are summarized as follows: 1. Microflora observed in the pickles are: (a) Total count of viable cells after 1-2 months of pickling was found to be $10^7$ and that after 6 months decreased to $10^4$. (b) Microbial occurence in the early stage of pickling was observed to be 10-20% Micrococcus spp., 10-20% Brevibacterium spp., 0-30% Sarcina spp., 20-30% Leuconostoc spp., ca 30% Bacillus spp., 0-10% Pseudomonas spp., 0-10% Flavobacterium spp., and 0-20% yeast. (c) Following the early stage of pickling, mainly halophilic bacteria such as Bacillus subtilis, Leuconostoc mesenteroides, Pediococcus halophilus and Sarcina litoralis, were found to exhibit an effect on the fermentation of pickle and their enzyme activities were in direct concern in fermentation of pickles. (d) Among the bacteria participating in the fermentation, Sarcina litoralis 8-14 and 8-16 strains were in need of high nutritional requirement and the former was grown only in the presence of purine, pyrimidine and cystine and the latter purine, pyrimidine and glutamic acid. 2. Enzyme characteristics studied in relation to the raw materials and the concerned microbes isolated are as follows: (a) A small amount of protease was found in the raw materials and 30-60% decrease in protease activity was demonstrated at 7% salt concentration. (b) Protease activity of halophilic bacteria, Bacillus subtilis 7-6, 11-1, 3-6 and 9-4 strains, in the complete media decreased by 10-30% at the 7% salt concentration and that of Sarcina litoralis 8-14 and 8-16 strains decreased by 10-20%. (c) Proteins in the raw materials were found to be hydrolyzed to yield free amino acids by protease in the fermenting microbes. (d) No accumulation of flavorous 5'-mononucleotides was demonstrated because RNA-depolymerase in the raw materials and the pickles tended to decompose RNA into nucleoside and phosphoric acid. (e) The enzyme produced in Bacillus subtilis 3-6 strain isolated from the salted clam pickles, was ascertained to be 5'-phosphodiesterase because of its ability to decompose RNA and thus accumulating 5'-mononucleotide. (f) It was demonstrated that the activity of phosphodiesterase in Bacillus subtilis 3-6 strain was enhanced by some components in the corn steep liquor and salted clam pickle. The enzyme activity was found to decrease by 10-30% and 40-60% at the salt concentration of 10% and 20%, respectively. 3. Quantitative data for free amino acids in the pickles are as follows: (a) Amounts of acidic amino acids such as glutamic and aspartic acids in salted clam pickle, were observed to be 2-10 times other pickles and it is considered that the abundance in these amino acids may contribute significantly to the specific flavor of this food. (b) Large amounts of basic amino acids such as arginine and histidine were found to occur in salted yellow tail pickle. (c) It is much interesting that in the salted cuttlefish pickle the contents of sulfur-containing amino acids were exceedingly high compared with those of others: cystine was found to be 17-130 times and methionine, 7-19 times. (d) In the salted oyster pickle a high content of some essential amino acids such as lysine, threonine, isoleucine and leucine, was demonstrated and a specific flavor of the pickle was ascribed to the sweet amino acids. Contents of alanine and glycine in the salted oyster pickle were 4 and 3-14 times as much as those of the others respectively. 4. Analytical data for 5'-mononucleotides in the pickles are as follows: (a) 5'-Adenylic acid and 3'-adenylic acid were found in large amounts in the salted yellow tail pickle and 5'-inosinic acid in lesser amount. (b) 5'-Adenylic acid, especially 3'-adenylic acid predominated in amount in the salted oyster pickle over that in the other pickles. (c) The salted cuttlefish pickle was found to contain only 5'-adenylic acid and 3'-adenylic acid. It has become evident from the above fact that clam and the invertebrate lack of adenylic deaminase and contain high content of adenylic acid. Thus, they were demonstrated to be the AMP-type. (d) 5'-Inosinic acid was contained in the salted yellow tail pickle in a significant concentration, and it might be considered to be IMP-type. 5. Comparative data for flavor with regard to the flavorous amino acids and the contents of 5'-mononucleotides are: (a) A specific flavor of salted yellow tail pickle was ascribed to the abundance in glutamic acid and aspartic acid, and to the existence of a small amount of flavorous 5'-inosinic acid. The combined effect of these components was belived to exhibit a synergistic action in producing a specific fiavor to the pickle. (b) A specific flavor of salted clam pickle has been demonstrated to be attributable to the richness in glutamic acid and aspartic acid rather than to that of 5'-mononucleotides.