• Journal of Conservation Science
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• 제37권6호
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• pp.638-647
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• 2021

Organic residues are substances derived from diverse natural sources. Recent scientific analysis of organic residues has yielded important information in restoring the lifestyles of ancient peoples. In this study, the organic material contained within the celadon oil bottle of the Goryeo dynasty, excavated from the Soejoul site in Geumneung-dong, Chungju, was analyzed using Fourier-transform infrared spectroscopy (FT-IR) and gas chromatograph-mass spectrometer (GC-MS). The results showed that the organic materials in the bottle were plant-derived oils. In particular, polyunsaturated fatty acids and phytosterols were detected using GC-MS analysis. Sesamin components were also identified. Sesamin, which is a characteristic component of sesame seeds, is a lignan and an antioxidant. As the organic residues in the oil bottle were derived from sesame seeds, it is presumed that sesame oil was stored in the bottle.

• Journal of Bio-Environment Control
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• 제23권1호
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• pp.50-55
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• 2014

This study was conducted to investigate the responses of red pepper (Hongjinju) leaves under water stress. Hyperspectral short wave infrared (SWIR, 1000~1800 nm) reflectance imaging techniques were used to acquire the spectral images for the red pepper leaves with and without water stress. The acquired spectral data were analyzed with a multivariate analysis method of ANOVA (analysis of variance). The ANOVA model suggested that 1449 nm wavebands was the most effective to determine the stress responses of the red pepper leaves exposed to the water deficiency. The waveband of 1449 nm was closely related to the water absorption band. The processed spectral image of 1449 nm could separate the non-stress, moderate stress (-20 kPa), and severe stress (-50 kPa) groups of red pepper leaves distinctively. Results demonstrated that hyperspectral imaging technique can be applied to monitoring the stress responses of red pepper leaves which are an indicator of physiological and biochemical changes under water deficiency.

• Journal of Plant Biotechnology
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• 제42권1호
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• pp.60-70
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• 2015

The aim of this study was to investigate whether fourier transform infrared (FT-IR) spectroscopy can be applied to simultaneous determination of fatty acids contents in different soybean cultivars. Total 153 lines of soybean (Glycine max Merrill) were examined by FT-IR spectroscopy. Quantification of fatty acids from the soybean lines was confirmed by quantitative gas chromatography (GC) analysis. The quantitative spectral variation among different soybean lines was observed in the amide bond region ($1,700{\sim}1,500cm^{-1}$), phosphodiester groups ($1,500{\sim}1,300cm^{-1}$) and sugar region ($1,200{\sim}1,000cm^{-1}$) of FT-IR spectra. The quantitative prediction modeling of 5 individual fatty acids contents (palmitic acid, stearic acid, oleic acid, linoleic acid, linolenic acid) from soybean lines were established using partial least square regression algorithm from FT-IR spectra. In cross validation, there were high correlations ($R^2{\geq}0.97$) between predicted content of 5 individual fatty acids by PLS regression modeling from FT-IR spectra and measured content by GC. In external validation, palmitic acid ($R^2=0.8002$), oleic acid ($R^2=0.8909$) and linoleic acid ($R^2=0.815$) were predicted with good accuracy, while prediction for stearic acid ($R^2=0.4598$), linolenic acid ($R^2=0.6868$) had relatively lower accuracy. These results clearly show that FT-IR spectra combined with multivariate analysis can be used to accurately predict fatty acids contents in soybean lines. Therefore, we suggest that the PLS prediction system for fatty acid contents using FT-IR analysis could be applied as a rapid and high throughput screening tool for the breeding for modified Fatty acid composition in soybean and contribute to accelerating the conventional breeding.

• Applied Chemistry for Engineering
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• 제20권1호
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• pp.46-51
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• 2009

Subphthalocyanine (SubPc) derivatives consisting of the different kinds and positions of substitute group were successfully synthesized using various types of the precursor as the intermediate compound. The chemical structure of precursor and product was determined by the means of $^{1}H-NMR$ and FT-IR spectrometer. Also, spectroscopic and crystalline properties were determined by means of UV-Vis spectrometer and XRD, respectively. It was found that SubPc derivatives absorbed selectively visible light ranging from 560 to 600 nm, their solubility was enhanced by introducing substitute groups, and their maximum absorbing wavelength was shifted by changing the kind and position of substitute groups.

• Journal of the Korean Chemical Society
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• 제44권5호
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• pp.410-414
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• 2000

The feasibility of near infrared spectroscopy (NIRS) for the evaluation of the compost pro-duced by composting swine excreta has been investigated. The analytes determined were total nitrogen, total phosphorus, organic matter,total carbon,moisture, Cu, $K_2O$ and $Na_2O$. The ranges of concentration of the cal-ibration samples obtained by the conventional chemical method for each component were 1.30-2.75%, 1.45-4.86%, 7.36-81.5%, 23.0-41.1%, 4.2 the coefficient of variation was 4.38, 5.5, 3.2, 1.5, 10.9, 10.6 and 11.9% for total nitrogen, total phosphorus, organic matter, total carbon, moisture, Cu, $K_2O$ and $Na_2O$,respectively. The overall results showed that NlRS can be used for a non-destructive and rapid determination of the analytes to evaluate the quality of compost samples.

• Journal of Korean Society of Environmental Engineers
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• 제22권6호
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• pp.1113-1126
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• 2000

Humic substances present in landfill leachates were extracted and their characteristics were analyzed with respect to landfilling age as a basic study to evaluate the effect of humic substances on the transport and transformation of other pollutants in pollution plume contaminated by landfill leachate. Element analysis of the extracted humic substances were performed. The information on the functional groups of the humic substances molecules were obtained from the spectroscopic analysis using UV-visible, FT/IR, and fluorescence spectroscopy. The structural characteristics of the humic substances were also analyzed by $^1H$ and $^{13}C$ NMR spectroscopy. From the results of the analyses it was found that the structure of the humic substances present in landfill leachates was more aliphatic than aromatic relative to other common humic substances extracted from natural soils and water. The results indicate that the degree of humification of the humic substances were relatively low. The degree of humification, however, was increased as the landfilling age was increased.

• Economic and Environmental Geology
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• 제55권2호
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• pp.197-207
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• 2022

This study investigated spectroscopic exploration of Myeonsan formation, the titanium(Ti) ore hostrock, in Joseon supergroup based on machine learning technique. The mineral composition, Ti concentration, spectral characteristics of Myeonsan and non-Myeonsan formation of Joseon supergroup were analyzed. The Myeonsan formation contains relatively larger quantity of opaque minerals along with quartz and clay minerals. The PXRF analysis revealed that the Ti concentration of Myeosan formation is at least 10 times larger than the other formations with bi-modal distribution. The bi-modal concentration is caused by high Ti concentrated sandy layer and relatively lower Ti concentrated muddy layer. The spectral characteristics of Myeonsan formation is manifested by Fe oxides at near infrared and clay minerals at shortwave infrared bands. The Ti exploration is expected to be more effective on detection of hostrock rather than Ti ore because ilmenite does not have characteristic spectral features. The random-forest machine learning classification detected the Myeonsan fomation at 85% accuracy with overall accuracy of 97%, where spectral features of iron oxides and clay minerals played an important role. It indicates that spectral analysis can detect the Ti host rock effectively, and can contribute for UAV based remote sensing for Ti exploration.

• Journal of Animal Environmental Science
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• 제18권3호
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• pp.257-266
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• 2012

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid, accurate method of evaluating some chemical constituents in cereal and dired animal forages. Analysis of forage quality by NIRS usually involves dry grinding samples. Costs might be reduced if samples could be analyzed without drying or grinding. The objective of this study was to investigate effect of sample preparations on prediction ability of chemical composition and fermentation parameter for Italian ryegrass silages by NIRS. A population of 147 Italian ryegrass silages representing a wide range in chemical parameters were used in this investigation. Samples were scanned at 1nm intervals over the wavelength range 680-2500 nm and the optical data recorded as log 1/Reflectance (log 1/R) and scanned in oven-dried grinding and fresh ungrinding condition. The spectral data were regressed against a range of chemical parameters using partial least squares (PLS) multivariate analysis in conjunction with four spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected on the basis of minimizing the standard error of cross validation (SECV) and maximizing the correlation coefficient of cross validation (${R^2}_{CV}$). The results of this study show that NIRS predicted the chemical parameters with high degree of accuracy in oven-dried grinding treatment except for moisture contents. Prediction accuracy of the moisture contents was better for fresh ungrinding treatment (SECV 1.37%, $R^2$ 0.96) than for oven-dried grinding treatments (SECV 4.31%, $R^2$ 0.68). Although the statistical indexes for accuracy of the prediction were the lower in fresh ungrinding treatment, fresh treatment may be acceptable when processing is costly or when some changes in component due to the processing are expected. Results of this experiment showed the possibility of NIRS method to predict the chemical composition and fermentation parameter of Italian ryegrass silages as routine analysis method in feeding value evaluation and for farmer advice.

• Elastomers and Composites
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• 제46권2호
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• pp.158-163
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• 2011

Rigid polyurethane foam (PUF) was synthesized with different contents of aliphatic polyester polyol, aromatic polyester polyol and aliphatic polyether polyol to know change of properties under sea water. UTM(universal testing machine), DSC(differential scanning calorimetry), hardness meter and FT-IR(Fourier transform spectroscopy) were used to study the PUF`s physical properties under sea water. Compressive strength and hardness of PUF decreased with increasing the content of aromatic polyester polyol under sea water as aging. According to the results of IR spectral analysis, reduction of urethane and urea peak was found and allophanate and biuret peak increased. Although glass transition temperature of PUF increased, mechanical properties of PUF decreased under sea water, because PUF gets brittle when crosslink density increase.

• Aerospace Engineering and Technology
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• 제2권1호
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• pp.182-189
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• 2003

Communication Ocean Meteorological Satellite(COMS) for the hybrid mission of meteorological observation, ocean monitoring, and telecommunication service is planned to be launched onto Geostationary Earth orbit (GEO) in 2008 according to the korea national space program, For the development of the meteorological payload of COMS, imager, the characteristics of Modulation Transfer Function (MTF) for GEO meteorological imager is investigated and the theoretical MTF limit is analyzed for each spectral channel of the imager in the both cases of a currently operating GEO instrument technology and an advanced GEO instrument technology under development. This study shows that MTF value can be considerably low in the infrared channels with longer wavelength than 10㎛ due to diffraction effect so that the MTF performance of long wavelength infrared channels should be paid attention to for the development of the imager.