• Microbiology and Biotechnology Letters
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• v.33 no.2
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• pp.123-129
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• 2005

Isolation and identification of pathogens from slaughter and meat processing plant were investigated. Antimicrobial activity of Amaranthus lividus against isolated pathogens such as Aeromonas sobria, Escherichia coli, Escherichia coli O157, Listeria monocytogenes, Salmonella spp., and Staphylococcus aureus was investigated. Among the chloroform, ethyl acetate and buthanol fraction of amaranthus lividus showed inhibitory effect against Aeromonas sobria CLFM1 and Escherichia coli CLFM2. Antimicrobial substance in chloroform fraction was isolated by silica gel adsorption column chromatography, sephadex LH-20 column chromatography and silica gel partition column chromatography. The antimicrobial compound of amaranthus lividus was identified as diethyl phtalate by HPLC, GC-MS, H-NMR and C-NMR.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.11
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• pp.111-118
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• 1990

In this paper, pSDF-based referance image is realized. Using BJTC (binary joint transform correlator) as the spatial plane correlator, optical pattern recognition for interclass identification and interclass discrimination is performed. Computer simulation shows that the correlation performance of BJTC is superior to that of JTC. Experimental results using BJTC reveal that correlation peak intensity is constant within the error rang from $4.1{\%}\to\9.6{\%}$ in interclass identification and correlation peak intensity of one class is two times higher than that of the other class in interclass discrimination, which indicates its superiority in discrimination sensitivity.

• Journal of Plant Biology
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• v.37 no.4
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• pp.441-444
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• 1994

From immature seed of Phaseolus vulgaris L., a novel phytosteryl glucoside was isolated. Strong ion peaks at m/z 613 $[M+Na}^{+},\;696\;[M+Matrix]^{+}$ in positive F AB- MS and at m/z 589 $[M-1]^{-}$ in negative F AB- MS indicated the molecular weight of the compound is 590. Four hundred MHz $^IH-NMR$ analysis revealed that the compound canys a 24-hydroxy-24-vinyl-cholesterol (saringosterol) as an aglycone and a ${\beta}-D-glucopyranose$. Four hundred MHz $^IH-NMR$ analysis of the acetate derivate of the compound revealed that hydroxyls at C-1' in glucose moeity and at C-3 in aglycone have been condensed. Therefore, the phytosteryl glucoside was characterized to be $3-0-{\beta}-D-glucopyranosyl-24-hydroxy-24-vinyl-cholesterol$ (saringosteryl glucoside). This is the first demonstration for the presence of saringosterol in higher plants. Also this is the first identification of saringosteryl glucoside in natural materials.erials.

• Journal of Soil and Groundwater Environment
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• v.27 no.4
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• pp.37-48
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• 2022

Accurate analysis of petroleum hydrocarbons in soil is an important prerequisite for proper source tracking of contamination. Identification of petroleum compounds is commonly carried out by peak pattern matching in gas chromatography. However, this method has several technical limitations, especially when the soils underwent biological, physical and chemical transformation. For instance, it is very difficult to distinguish jet fuel (JP-8) from kerosene because JP-8 is derivatized from secondary reaction between chemical agents (e.g. anti-oxidants, antifreezer and so on) and kerosene. In this study, an alternative method to separately analyze JP-8 and kerosene in the petroleum hydrocarbon contaminated soil was proposed. Qualitative analyses were performed for representative phenolic antioxidants [2,6-di-tert-butyl phenol (2,6-DTBP), 2,4-di-tert- butylphenol(2,4-DTBP), 2,6-di-tert-butyl-4-methyl phenol (2,6-DTBMP)] using a two dimensional gas chromatograph mass spectrometer (2D GC×GC-TOF-MS). This qualitative analysis of antioxidants in soil would be a useful complementary tool for the peak pattern matching method to identify JP-8 contamination in soil.

• Analytical Science and Technology
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• v.19 no.4
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• pp.352-364
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• 2006

This study was performed to search for useful separation properties and elution orders of three GC columns (DB-1, DB-5MS, SPB-Octyl) for 209 PCBs congeners using M-1668A-0.01X-SET of the AccuStandard Inc.. In addition, to confirm the quantitative peak in peak pattern method, the IUPAC Nos. of PCBs congener peaks were identified with 4 Aroclor standards (Aroclor-1242, 1248, 1254 and 1260). The separation property of dioxin-like PCBs congeners by four columns (DB-1, DB-5MS, SP-2331 and SPB-Octyl) was excellent in SP-2331. DB-1 and SPB-Octyl columns are necessary to use with a column of other types.

• Journal of Nutrition and Health
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• v.12 no.1
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• pp.31-41
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• 1979

Free amino acid in ethanol extracts and total amino acids in hydrolysates of eleven species of edible mushrooms were analyzed and determinated the contents five kind of new amino acid by means of amino acid autoanalyzer and gas liquid chromatography. The result obtained from this study are as follows. 1) Five kind of new amino acid turned out to be ${\alpha}$-aminobutyric acid, allo-isoleucine, ethanolamine, $\gamma$-aminobutyric acid and ornithine. 2) By means of amino acid autoanalyzer, the monoethanolamine was identified on the chromatogram ahead of alanine, ${\alpha}$-aminobutyric acid between peak of threonine and glycine, allo-isoeleucine between peak of valine and leucine, isoleucine, ${\gamma}$-aminobutyric acid followed by proline between peak of leucine, isoleucine and methionine and ornithine between peak of phenylalanine and tyrosine 3) By means of Gas liquid chromatography, the ${\alpha}$-aminobutyric acid was identified on the chromatogram between peaks of alanine and valine, allo-isoleucine between peaks of methionine and isoleucine, monoethanolamine followed by ${\gamma}$-aminobutyric acid between peaks of phenylalanine and ammonia, ornithine between the peaks of ammonia and lysine. 4) Of five amino acids which were identified, ornithine was the highest of its content in the mushroom extracts, and allo-isoleucine, ethanolamine, and ${\gamma}$-aminobutyric acid came next in decreasing order. 5) Also which were identified, ornithine was the highest of its content in the hydrolysates, and ${\alpha}$-aminobutyric acid, ${\gamma}$-aminobutyric acid, allo-isoleucine came next in decreasing order, ethanol extracts and hydrolysates of Auriculariaauricula-Judae(Fr.) $Qu\acute{e}l$ species didn't contain any of five kind of new amino acid. Ornithine also was the highest in the hydrolysates of ll mushrooms.

• Korean Journal of Agricultural Science
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• v.35 no.1
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• pp.11-17
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• 2008

This study was conducted to isolate polyacetylenes from the Acanthopanax senticosus and to identify the chemical structure of the polyacetylenes by UV, IR, $^1H$-NMR and $^{13}C$-NMR. One of the liposoluble materials was extracted with petroleum ether. Polyacetylene compounds were collected through solvent fractionation at silica gel column chromatograph. The HPLC was used for the semi-preparative separation IR spectra of fraction 5 showed triple bonds at $2256cm^{-1}$ and double bond at $1654cm^{-1}$, respectively, $^1H$-NMR spectra of Fraction 5 showed the double bond at 5.35-5.48 ppm. Triple bond at 64.0. 71.2, 74.2, 80.2 ppm and double bond at 121.89, 133.0 ppm were observed in the $^{13}C$-NMR spectra.

• Smart Structures and Systems
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• v.23 no.3
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• pp.263-278
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• 2019

Moving train load parameters, including train speed, axle spacing, gross train weight and axle weights, are identified based on strain-monitoring data. In this paper, according to influence line theory, the classic moving force identification method is enhanced to handle time-varying velocity of the train. First, the moments that the axles move through a set of fixed points are identified from a series of pulses extracted from the second derivative of the structural strain response. Subsequently, the train speed and axle spacing are identified. In addition, based on the fact that the integral area of the structural strain response is a constant under a unit force at a unit speed, the gross train weight can be obtained from the integral area of the measured strain response. Meanwhile, the corrected second derivative peak values, in which the effect of time-varying velocity is eliminated, are selected to distribute the gross train weight. Hence the axle weights could be identified. Afterwards, numerical simulations are employed to verify the proposed method and investigate the effect of the sampling frequency on the identification accuracy. Eventually, the method is verified using the real-time strain data of a continuous steel truss railway bridge. Results show that train speed, axle spacing and gross train weight can be accurately identified in the time domain. However, only the approximate values of the axle weights could be obtained with the updated method. The identified results can provide reliable reference for determining fatigue deterioration and predicting the remaining service life of railway bridges.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3907-3912
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• 2023

Radiation portal monitors (RPMs) installed at airports and harbors to prevent illicit trafficking of radioactive materials generally use large plastic scintillators. However, their energy resolution is poor and radionuclide identification is nearly unfeasible. In this study, to improve isotope identification, a RPM system based on a multi-array plastic scintillator and convolutional neural network (CNN) was evaluated by measuring the spectra of radioactive sources. A multi-array plastic scintillator comprising an assembly of 14 hexagonal scintillators was fabricated within an area of 50 × 100 cm². The energy spectra of ¹³⁷Cs, ⁶⁰Co, ²²⁶Ra, and ⁴K (KCl) were measured at speeds of 10-30 km/h, respectively, and an energy-weighted algorithm was applied. For the CNN, 700 and 300 spectral images were used as training and testing images, respectively. Compared to the conventional plastic scintillator, the multi-arrayed detector showed a high collection probability of the optical photons generated inside. A Compton maximum peak was observed for four moving radiation sources, and the CNN-based classification results showed that at least 70% was discriminated. Under the speed condition, the spectral fluctuations were higher than those under dwelling condition. However, the machine learning results demonstrated that a considerably high level of nuclide discrimination was possible under source movement conditions.

• Horticultural Science & Technology
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• v.29 no.4
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• pp.374-381
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• 2011

Stilbenes are polyphenolic natural products, which have antioxidative and antifungal activities. In some plants, including grapevine, the stilbene compounds, as resveratrol derivatives, exist in very diverse forms. Experiments to identify the individual stilbene compounds were carried out first to quantify them in UV-irradiated grapevine leaves. For this, stilbene glycosides were extracted from grapevine leaves which irradiated intensively with UV light. The glycoside samples were hydrolyzed by ${\beta}$-glucosidase, before analyzed by HPLC-mass spectrometer at each m/z corresponding to the mass of specific stilbenes. As results, in chromatograms, the enzymatic hydrolysis resulted in decrease and increase of the peaks expected for glycosides and aglycones, respectively. The samples were also exposed to sunlight in order to photo-isomerize the stilbene compounds. The light exposure resulted in disappearance and appearance of peaks expected for trans- and cis-isomers of stilbenes, respectively. Such a change of the peaks in chromatograms provided information needed for the inference to peak components. In this way, it was possible to identify 16 kinds of stilbene compounds from grapevine leaves. The identified stilbenes were quantified from grapevine leaves irradiated mildly by UV light. The UV-irradiation increased markedly in the content of stilbene compounds, especially trans-resveratrol by several hundredfold. In addition, piceatannol, which is a mere minor component of stilbenes in control leaves and a more active radical scavenger than resveratrol, was also increased by several tenfold by the treatment. The increase in stilbene contents as influenced by UV irradiation seems to be one of the stress coping responses of grapevine as a hormesis phenomenon.