• The Korean Journal of Food And Nutrition
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• v.13 no.1
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• pp.66-70
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• 2000

The volatile components of Korea ginger were compared by using different isolation methods, head-space sampling procedure(HSSP), simultaneous distillation extrction(SDE) and soild pahse micro-extractions(SPME). Sixty-one components were identified by GC-MSD in the extracts obtained from each extraction methods. However, the components identified showed a difference in their composition wit the extraction methods. In the extract by HSSP, fifty-five components including a high volatile compound such as acetaldehyde, ethylacetate, 2,3-butandione were detected, and thirty-one components were identified in the extract by SPME. While, the low volatile components such as elemol, zingiberenol and ${\beta}$-eudesmol were detected only in the extract by SDE method. The results suggest that SDE method is the best for the analysis of low volatile components, whereas HSSP is a proper method for the analysis of high volatile components from natural resources.

• Korean Chemical Engineering Research
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• v.57 no.6
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• pp.883-890
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• 2019

Two-phase flow near the wellbore in volatile oil reservoirs causes complications in well test analysis. In this study, the flow behavior of volatile oil reservoirs below the bubble-point pressure and the potential of radial composite model for interpretation of two-phase well test in volatile oil reservoirs was investigated. A radial composite model was used for two-phase well test analysis. A new procedure was developed to interpret well test data and estimate the radius of the two-phase region. The changes in fluid composition near the wellbore during drawdown test were found to increase the saturation pressure, which affects the saturation profile during build-up. Well test results showed that the radial composite method is a powerful tool for well test characterization and estimation of reservoir parameters. The proposed procedure was able to estimate the reservoir parameters and radius of the two-phase region with acceptable accuracy.

• Journal of the Korean Society of Tobacco Science
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• v.31 no.2
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• pp.85-94
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• 2009

This work has been conducted to develop a method for the analysis of neutral volatile flavors and their precursors in tobacco. The neutral volatile compounds and precursors in tobaccos have been investigated by Neutral Volatile scan method(NV scan) using Soxhlet extractor. The method has been used to analyze a range of different tobaccos and tobacco products. Neutral flavor compounds were classified as three sections(1st Volatile Fraction, Breakdown Flavor Products and Cembranoid Precursors). The major components of the First Volatile Fraction were 2-cyclohexene-1-one, 6-methyl-5-hepten-2-one, limonene and phenyl ethanol. The major components of Breakdown Flavor Products were isophorone, solanone, damascenone, 3-hydroxy-$\beta$-damascone, geranyl acetone, $\beta$-ionone, dihydroactinidiolide, norsolanadione, neophytadiene, hexahydrofarnesylacetone, farnesyl acetone and megastigmatrienone. The major cembranoid precursor compounds were dibutyl phthalate, duvatrenediols, 8,12-epoxy-14-labden-13-ol, 11-hydroperoxy-2,7,12(20)-cembratriene-4,6-diol, 12,15-epoxy-12,14-labadien-8-ol, 2,7,11-cembratrien-4,6-diol and 8,13-epoxy-14-labdien-12-ol. The NV scna results of tobacco types(flue-cured, burley and oriental) showed that each tobacco type has a characteristic flavor component profile.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.4
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• pp.201-208
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• 2016

Non-volatile counter is a counter that maintains the value without external power supply. It has been used for the applications related to warranty issues to count and record certain events such as power cycles, operating time, hard resets, and timeouts. It has been conventionally implemented with volatile memory-based counter and battery backup or non-volatile memory such as EEPROM. Both of them have a lifetime issue due to the limited lifetime of the battery and the endurance of the non-volatile memory cells, which incurs significant redundancy in design. In this paper, we introduce a hybrid architecture of volatile (SRAM) and non-volatile memory (EEPROM) cells to achieve required lifetime of the non-volatile counter with smaller cost. We conduct a design space exploration of the proposed hybrid architecture with the parameters of various kinds of non-volatile memories. The analysis result shows that the proposed hybrid non-volatile counter can extend the lifetime up to 6 times compared to the battery-backup volatile memory-based implementation.

• Korean Journal of Food Science and Technology
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• v.41 no.6
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• pp.615-621
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• 2009

In order to optimize the supercritical fluid extraction (SFE) conditions of volatile components from the strawberry, we conducted an evaluation of the sample preparation and SFE operating conditions. The analysis of the volatile components extracted by a variety of sample preparation protocols led to the identification of 30, 26, 30, and 34 volatile components in fresh, freeze-dried, 30% celite and 70% celite treatments, respectively. The 70% celite treatment was the most effective in extracting the volatile components from strawberry via SFE. Analysis of the volatile components extracted by a variety of SFE operating conditions yielded identifications of 34, 35, 34, and 35 volatile components at 3,000 psi (40, $50^{\circ}C$) and 6,000 psi (40, $50^{\circ}C$), respectively. The extraction yield of alcohols and acids, and the total volatile component contents, were highest under conditions of 3,000 psi and $55^{\circ}C$. Volatile components from the strawberry were extracted via SFE, simultaneous steam distillation and extraction (SDE), and solvent extraction (SE). The analysis of the volatile components extracted via different extraction methods resulted in the identification of 56, 34, and 32 volatile components in the SDE, SFE, and SE extracts, respectively. The total volatile component contents identified in the SDE, SFE, and SE extracts were $20.268{\pm}1.144$, $21.627{\pm}1.215$ and $2.476{\pm}0.177\;mg/kg$, respectively. The SFE extract evidenced higher contents of sweet flavors such as 2-methylbutanoic acid, 2-methylpropanoic acid, and hexanoic acid than the SDE and SE extracts. SFE proved to be the most appropriate method for the extraction of fresh volatile components from the strawberry.

• Korean journal of food and cookery science
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• v.19 no.1
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• pp.17-23
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• 2003

This study was performed to find the changes in volatile sulfur compounds of garlic under various storage conditions. The volatile sulfur compounds of garlic were identified with GC and GC/MS. Analysis on the detected volatile sulfur compound of garlic which is known to have medical effect was performed while storing for two days at room temperature and for 1, 3 and 7 days at 4$^{\circ}C$ and -18$^{\circ}C$, respectively. The results of the study were summarized as follows : Total amount of 7 volatile sulfur compounds was the highest in the sample stored at room temperature for one hour. During the storage of 1, 3 and 7 days at -18$^{\circ}C$, chopped garlic contained more of volatile sulfur compounds than under any other storage conditions and the amounts of 7 volatile sulfur compounds increased gradually during the storage of chopped garlic.

• Journal of the Korean Society of Food Science and Nutrition
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• v.29 no.5
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• pp.965-967
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• 2000

An on-line FIA system in place of traditional Conway method was used for quicker and simpler analysis of volatile basic nitrogen of pork. The on-line system was developed by connecting an FIA apparatus with an ammonia electrode as a detector to a personal computer. The data from Conway method and from the on-line FIA system were in good agreement and the correlation coefficient was 0.981. One sample could be analyzed in about 4 min.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.44 no.2
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• pp.154-158
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• 1999

Volatile flavor compounds from perilla leaves were extracted and analyzed with different methods, head-space analysis (HS), simultaneous steam distillation and extraction (SDE) , and solvent extraction (SE), and to compare their efficiencies for quick analysis. Over 30 volatile compounds were isolated and 28 compounds were identified by GC/MSD. Major compound was perillaketone showing the compositions of which were 92% in SDE method, 86% in headspace analysis, and 62% in solvent extraction method. For quick evaluation of leaf flavor in perilla, it was desirable because the headspace analysis method had a shorter analyzing time and smaller sample amount than the other methods.

• Food Science of Animal Resources
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• v.34 no.5
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• pp.700-708
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• 2014

The volatile composition of veal has yet to be reported and is one of the important factors determining meat character and quality. To identify the most important aroma compounds in veal from Holstein bull calves fed one of three diets, samples were subjected to solid-phase microextraction (SPME) combined with gas chromatography-quadrupole mass spectrometry (GC-MS). Most of the important odorants were aldehydes and alcohols. For group A (veal calves fed entirely on milk for 90 d before slaughter), the most abundant compound class was the aldehydes (52.231%), while that was alcohols (26.260%) in group C (veal calves fed starter diet for at least 60 d before slaughter). In both classes the absolute percentages of the volatile compounds in veal were different indicating that the veal diet significantly (p<0.05) affected headspace volatile composition in veal as determined by principal component analysis (PCA). Twenty three volatile compounds showed significance by using a partial least-squared discriminate analysis (PLS-DA) (VIP>1). The establishment of the global volatile signature of veal may be a useful tool to define the beef diet that improves the organoleptic characteristics of the meat and consequently impacts both its taste and economic value.

• Korean Journal of Medicinal Crop Science
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• v.12 no.2
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• pp.102-107
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• 2004

This study was carried out to establish an optimum method for identifying the volatile components of Magnolia ovobata Thunb. using the dynamic headspace (Purge & Trap) and simultaneous distillation and extraction (SDE) method. Between the two different identification analysis, the volatile components were more easily detected in the SDE than the Purge & Trap method. Among the identified volatile components, the 12 compounds were detected to have similar retention times and match quality within the 45 minutes in both identification methods. The maximum values of the major volatile components were detected differently by SDE and (Purge & Trap) method such as ${\alpha}-pinene$ (3.4, 18.2%), ${\beta}-pinene$ (3.5, 10.3%), l-limonene (5.2, 15.4%). These results indicated that the Dynamic Headspace (Purge & Trap) was much more reliable method for identifying the volatile components of Magnolia ovobata Thunb. as compared to the SDE method.