본 연구는 동백나무 종자에 함유된 생리활성물질인 camelliaside B의 표준정량화를 위해 고성능 액체 크로마토그래피 (HPLC-DAD) 분석법을 확립하고자 실시하였다. 동백나무 종자에 함유된 주요화합물은 MS/MS 분석, UV 흡광도, 화합물의 유지시간 등을 통해 얻은 결과에 바탕을 두어 camelliaside B를 동백나무 종자 추출물의 지표물질로 선정하였다. Camelliaside B의 HPLC 분석법에 대한 특이성, 정확성, 정밀도 및 정량한계 등을 검증하였다. Camelliaside B 분석을 위해 표준화된 HPLC 분석법은 0.99% 이상의 상관계수(R2)로 높은 선형성을 가지는 것을 보여주었다. Camelliaside B의 회수율은 100.42-108.00%였으며, 검출한계 (LOD)와 정량한계 (LOQ)는 각각 0.084㎍/㎖, 0.254㎍/㎖였다. 동백나 무 종자 지표물질 (camelliaside B)의 일중 정밀도는 각각 0.09-0.16 RSD였으며, 일간정밀도는 0.123 RSD였다. 표준화된 분석법으로 지역별로 수집한 동백나무 종자의 camelliaside B의 함량은 0.279-2.05㎎/g 으로 다양하였다. HPLC 분석법으로 확인한 모든 매개변수는 기능성 원료 인정을 위한 제출자료 작성 기준을 충족하였다. 따라서 본 연구에서 확립한 HPLC 분석법은 동백나무 종자 추출물 유래 건강 관련 기능성 제품 또는 의약품 개발의 첫 단계를 제공할 수 있을 것이다.

Neptunium (Np) is one of the daughter elements included in the decay chain of Pu. The quantitative analysis of Np isotopes is required for radioactive waste characterization, research on actinide chemistry, etc. Np-237 has a long half-life (2.144 million years), but its daughter Pa-233 has a relatively short half-life (26.975 days). For this reason, after a sufficient time elapses following the chemical preparation process of the analyte, the two nuclides are in radiation equilibrium in the sample. Np-237 emits alpha-rays while Pa-233 emits beta-rays. Both nuclides also emit gamma- and X-rays. In this study, alpha-rays were measured using liquid scintillation counting (LSC) method and alpha spectrometry. Gamma-spectrometry with a HPGe detector was used for the analysis of gammaand X-rays. In addition, we compared the radiometric results with quantitative analysis of Np using UV-Vis absorption spectrometry. The LSC method and the HPGe gamma-spectroscopy do not require extensive sample preparation procedures. Alpha spectroscopy requires a standard material spiking, separation by coprecipitation, and disk-type sample preparation procedure to obtain measurement efficiency and recovery factor. A reference material sample with a concentration of 5.8 mM was analyzed by the four analysis methods, and all of the measured results agreed well within a difference level of 4%.

Most of the white fumes from the tenter process of a textile plant in an industrial complex are generated by water vapor and oil mist. While general water vapor disappears when the humidity is lowered, the white fume generated in the tenter process does not disappear and is continuously maintained, resulting in environmental problems and complaints. Efforts to reduce white fume are being conducted, but it is vitally important to develop a performance index that quantitatively calculates and deduces the degree by which white fume has been reduced, so that a tangible and visible result can be obtained in the performance evaluation of prevention facilities. In this study, the removal efficiency or performance of a general wet scrubber and a wet electrostatic precipitator (electrical fume collector, EFC) installed in the actual textile tenter process was analyzed by the light scattering method that can measure the concentration of particles up to a high level. The white fume removal efficiency of the EFC was 92%, much higher than the 17% removal efficiency of the general scrubber. In addition, the EFC was more effective in removing toluene, 1,1'- [oxybis(methylene)]bis- Benzene, and benzothiazole, which are the major substances generated from the textile tenter process, as well as complex odors. From these results, it was found that the light scattering method is one of the useful tools to evaluate the performance of white fume prevention facilities in the industrial field in terms of satisfying the urgent need for measurement and the ability to obtain a clear and precise result on site. This approach is meaningful in that real-time quantification is applicable more intuitively than the gravimetric method in assessing the fume removal performance as it can be observed with the naked eye.

This study presents a rapid and quantitative sequential separation method for H-3 and C-14 isotopes with distillation apparatus in environmental samples released from nuclear facilities. After adding 200 mg of granulated potassium permanganate and 500 mg of sodium hydroxide in 100 mL of sample solution, the sample solution was heated until approximately 10 mL of distillate, and the distillate fraction was removed. The sample solution was heated again until a minimum 10 mL of additional distillate was collected. 10 mL of distillate was transferred to the LSC vail and the measurement sample for H-3 was made by adding 10 mL of Ultima Gold LLT to the LSC vial. After adding 2.5 g of potassium persulfate, 2 mL of 1M silver nitrate and 15 mL of concentrated nitric acid to the remained sample solution, the sample solution was heated for 90 minutes and C-14 isotopes were adsorbed into 10 mL of Carbo-Sorb solution in glass vial. The measurement sample for C-14 was made by adding 10 mL of Permafluor to the C-14 fraction in glass vial. The purified H-3 and C-14 samples were measured by the liquid scintillation counter after quenching correction. The average recoveries of H-3 and C-14 with CRM were measured to be 96% and 85%, respectively. The sequential separation method for H-3 and C-14 investigated in this study was applied to activated charcoal filter produced from nuclear power plants after validating the reliability by result of proficiency test (KOLAS-KRISS, PT-2021-51).

The global trend is the application of heat-treated omission materials to reduce the manufacturing cost of automobile steering parts. Attempts have been made to apply heat-treated omission materials in domestic, but they are delayed due to concerns over rising cold forging process costs. For quantitative prediction of cold forging process cost, fatigue properties of forging die materials were evaluated. Based on this, the die life and cost were predicted quantitatively, and the manufacturing cost reduction of automobile steering parts using heat-treated material was found to be about 11%. Also, various methods to improve die life were additionally presented.

This paper reports an uncertainty analysis of quantitative visualization methodology for slug bubble dynamics in downward-facing nucleate boiling condition. Measurement of dynamics of slug bubble, i.e. departing speed, frequency, and diameter, is very important to predict safety margin of thermal systems in moving vehicle. By employing high speed visualization and post-processing, we quantitatively measured the volume and location of slug bubble, so that vapor generation rate and departing speed data were derived from their time differentiation. As a visualization methodology, its reliability was evaluated via uncertainty analysis. For 95% confidence interval, uncertainty of vapor generation rate and departing speed were 3% and 2%, respectively, and which were one order lower than standard deviation of those data.

The purpose of this study is to create a new odor analysis technology that combines the separation technology of GC and the measurement of MOS sensors. The detector of the GC system is replaced with the MOS sensor to analyze various odor compounds. Carrier gas also used air in the normal atmosphere through a micro pump. Therefore, it is possible to develop a portable odor analysis device since no additional cylinder is needed. Retention times for H2S, C7H8, and C2H4O analyzed by the combined GC/MOS system were identified as 1.28 minutes, 3.88 minutes and 1.77 minutes, respectively. Measurement reproducibility of odorous RT was very good at less than 1.2 %RSD. Also, the magnitude of the peak as a result of changes in the concentration of each odor showed a linear proportional relationship. Thus, a new method could be proposed to analyze various odorous substances with the combined GC/MOS system.

V. vulnificus는 그람음성의 호염성균으로 감염 되었을 경우, 복통과 발열 등의 급성 위장염을 일으키며 만성질환자에게 급성 패혈증을 일으키는 매우 높은 치사율의 식중 독균이다. 식품 중에서 V. vulnificus를 분석하는 방법으로 는 TCBS agar와 같은 선택배지를 이용하는 방법과 PCR 을 이용한 방법이 있으나 온도, 염 및 pH 등과 같은 환경요인에 민감한 V. vulnificus의 특성을 고려하였을 때 정확한 균수 정량을 위한 정량분석법 확립의 필요성이 요구된 다. 본 연구에서는 배지 및 염 차이에 따른 V. vulnificus 생육 특성 차이에 대한 연구를 진행하였다. 그 결과, V. vulnificus 균수 정량분석에 APW 증균 배양을 이용한 MPNPCR 방법이 적합하였다. 본 연구에서 제시된 방법은 해수뿐만 아니라 어패류 등의 시료에서 V. vulnificus 균수 정 량분석에 유용하게 사용될 것으로 기대된다.

The Ground Penetrating Radar(GPR) is a typical non-destructive test equipment which is widely used in seeking a cavity or underground facility. Test results are generally expressed 2D monochrome or color images, distribution of the parabolic waveforms are used to determine the existence of cavity and facility. (Fig. 1) But, an analysis method of image may cause errors depending on the knowledge and experience of analyst. In this study, we analyzed the coefficient of correlation between A-Scan data of GPR to judge the existence of cavity located under the pavement layer. The correlation analysis was performed based on the assumption that the relationship of correlation between a number of A-Scan data passing through a non-cavity section is larger than a small number of A-Scan data passing through a cavity section, and relationship of correlation was visualized using Surfer Program. (Fig. 2) In addition, apart from the correlation analysis, we compared the Power spectrum of the A-scan data for the cavity section and non-cavity section. In other words, assuming that the size of the energy changes depending on the existence of the cavity, PSD (Power Spectrum Density) is obtained for all the B-Scan data, and the tendency of the energy size is confirmed using the 3D wireframe map of the Surfer program. (Fig. 3) As a result, the correlation coefficient shows a small tendency in the cavity section and the PSD shows a large tendency, which is intuitively recognized that the energy attenuation in the cavity section is smaller than other material. But, there are some ambiguous sections to judge the tendency clearly, this is estimated to be noise on the underground facility and it is necessary to take measure of mitigating this.

The concern on the greenhouse gas emissions is increasing globally. Especially, the greenhouse gas emission from fisheries is an important issue due to Cancun Agreements Mexico in 1992 and the Kyoto protocol in 2005. Furthermore, the Korean government has a plan to reduce the GHG emissions as 5.2% compared to the BAU in fisheries until 2020. However, the investigation on the GHG emissions from Korean fisheries has not been executed much. Therefore, the quantitative analysis of GHG emissions from Korean fishery industry is needed as the first step to find a relevant way to reduce GHG emissions from fisheries. The purpose of this research is to investigate which degree of GHG emitted from the major coastal fisheries such as coastal gillnet fishery, coastal dual purpose fishery, coastal pots fishery and coastal small scale stow net fishery. Here, we calculated the GHG emission from the fisheries using the LCA (Life Cycle Assessment) method. The system boundary and input parameters for each process level are defined for LCA analysis. The fuel use coefficients of the fisheries are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for the unit weight of fishes are also calculated with consideration to the different consuming areas. The results will be helpful to understand the circumstances of GHG emissions from Korean fisheries.

미꾸라지에서의 Nitrofuran계 대사물질인3-amino-2-oxazolidone (AOZ), 5-morpholinomethyl-3-amino-2-oxazolidinone (AMOZ), 1-ammino-hydantoin (AHD)와 semicarbazide (SEM)의 잔류량을 검사하기 위해HPLC-MS/MS를 이용한 신속한 정량법이 개발되었다. 2-nitrobenzaldehyde (2-NBA)를 이용해 50℃에서 1시간 동안 산 가수분해와 유도체화 과정을 거친 뒤에, 액-액 분배로 정제와 추출을 하였다. 회수율은 음성시료에 3가지 농도 0.5, 1.0, 2.0 μg/kg의 표준액을 첨가하여 평가하였고 평균 회수율은 75.1-108.1% 이었다. 정밀성(%RSD)은 일내 8.7% 이하, 일간 8.5% 이하였다. 직선성은 NBAOZ는 0.2-20 μg/Kg, NBAMOZ는 0.8-20 μg/Kg, NBAHD는 0.2-20 μg/Kg, NBSEM 는 0.1-20 μg/Kg 범위에서 모두 상관계수 0.99이상이었다. 검출한계(LOD)는 NBAOZ 0.06 μg/Kg, NBAMOZ 0.24 μg/Kg, NBAHD 0.06 μg/Kg, NBSEM 0.03 μg/Kg이었고, 정량한계(LOQ)는 NBAOZ 0.2 μg/Kg, NBAMOZ 0.8 μg/Kg, NBAHD 0.2 μg/Kg, NBSEM 0.1 μg/Kg 이었다. 가수분해 및 유도체화 소요시간을 1시간으로 줄여 만든 신속 간편한 이 시험법이미꾸라지 중 nitrofuran metabolites잔류량 분석에 적합함을 확인할 수 있었다.

The negative factors of fishery in environmental aspect of view are Greenhouse gas emission problems by high usage of fossil fuel, destruction of underwater ecosystem by bottom trawls, reduction of resources by fishing and damage of ecosystem diversity. Especially, the Greenhouse gas emission from fisheries is an important issue due to Cancún meeting, Mexico in 1992 and Kyoto protocol in 2005. However, the investigation on the GHG emissions from Korean fisheries did not much carry out. Therefore, the quantitative analysis of GHG emissions from Korean fishery industry is needed as a first step to find a relevant way to reduce GHG emissions from fisheries. The purpose of this research is to investigate which degree of GHG emitted from fishery. Here, we calculated the GHG emission from Korean bottom pair trawl fishery using the LCA (Life Cycle Assessment) method. The system boundary and input parameters for each process level are defined for LCA analysis. The fuel use coefficient of the fishery is also calculated. The GHG emissions from the representative fishes caught by bottom pair trawl will be dealt with. Furthermore, the GHG emissions for the edible weight of fishes are calculated with consideration to the different consuming areas and slaughtering process also. The results will be helpful to understand the circumstances of GHG emissions from Korean fisheries.

This study tried to develop a basis for quantitative index of working postures associated with WMSDs (Work-related Musculoskeletal Disorders) that could overcome realistic restriction during application of typical checklists for WMSDs evaluation. The baseline data(for a total of 603 jbs) for this study was obtained from automobile manufacturing company. Specifically, data for back posture was analyzed in this study to have a better and more objective method in terms of job relevance than typical methods such as OWAS, RULA, and REBA. Major statistical tools were clustering, logistic regression and so on. The main results in this study could be summarized as follows; 1) The relationship between working posture and WMSDs symptom at back was statistically significant based on the results from logistic regression, 2) Based on clustering analysis, three levels for WMSDs risk at back were produced for flexion as follows: low risk(< 18.5°), medium risk(18.5°～ 36.0°), high risk(> 36.0°), 3) The sensitivities on risk levels of back flexion was 93.8% while the specificities on risk levels of back flexion was 99.1%. The results showed that the data associated with back postures in this study could provide a good basis for job evaluation of WMSDs at back. Specifically, this evaluation methodology was different from the methods usually used at WMSDs study since it tried to be based on direct job relevance from real working situation. Further evaluation for other body parts as well as back would provide more stability and reliability in WMSDs evaluation study.

The global warming related to GHG (greenhouse gases) emissions from industries is a major issue globally. Furthermore, GHG emissions from the fishery industries also represent an important issue, as indicated by "The Code of Conduct for Responsible Fisheries" at the Cancun, Mexico, meeting in 1992 and by the Kyoto protocol in 2005. Korea pronounced itself to be a voluntary exclusion management country at the 16th IPCC at Cancun, Mexico, in 2010. However, few analyses of GHG emissions from Korean fisheries have been performed. Therefore, a quantitative analysis of GHG emissions from the major Korean fisheries is needed before guidelines for reducing GHG emissions from the fishing industry can be established. The aim of this study was to assess the present GHG emissions from the Korean Purse seine fishery using the LCA (life cycle assessment) method. The system boundary and allocation method were defined for the LCA analysis. The fuel consumption factor of the purse seine fishery was also calculated. The GHG emissions for the edible fish were evaluated by determining the weights of whole fish and gutted fish. Finally, the GHG emissions required to produce 1kg of whole fish and 1kg of edible fish were deduced. The results will help determine the GHG emissions from the fishery. They will also be helpful to stakeholders and the government in understanding the circumstances involved in GHG emissions from the fishing industry.

본 논문에서는 사용자의 감성적 요구에 적합한 이미지를 탐색한 후 문-스펜서(P. Moon&D. E. Spencer)의 색채 조화론에 기초하여 조화의 정도가 가장 높은 이미지들을 순위별로 제시하는 이미지 검색법을 제안하였다. 이미지 검색은 키워드로 주어진 감성어휘와 관련된 색채성분이 가장 많이 포함된 이미지 화상을 검색하여 미도(Aesthetic Measure)를 계산한 후 순위별로 제시하는 방법으로 이루어진다. 문-스펜서의 색채 조화론을 적용한 이미지 검색법의 타당성을 검증하기 위하여 200개의 샘플 이미지를 대상으로 시스템이 제시한 미도순위와 사용자 만족도 평가에 의한 순위를 비교하였다. 분석결과 15개의 감성어휘별로 시스템이 출력한 이미지들의 미도 순위에 대한 실험 참가자들의 평균 만족도는 7점 척도 중 5.0으로 나타났다. 또한 시스템이 산출한 이미지들의 미도 순위와 설문 참가자가 평가한 만족도 순위 사이와의 일치 여부를 알아보기 위해 상관분석을 실시한 결과 감성어휘 'Clear'를 제외한 14개의 어휘 모두에서 상관계수 0.5 이상의 양호한 정적상관을 보였다. 이와 같은 연구결과로부터 문-스펜서의 색채 조화론을 바탕으로 제안한 감성검색법이 이미지 데이터베이스와 같은 시각자극의 검색에 있어서도 사용자의 감성을 적절히 반영할 수 있는 가능성을 확인하였다.

We constructed a standard curve to quantify Listeria monocytogenes in ready-to-eat product, especially sausage samples, using real-time PCR. A standard curve was generated using serially diluted L. monocytogenes cells in distilled water. When cells were artificially inoculated in 10 g of sausage samples in 90㎖ buffered peptone water, the cell concentration of range was approximately 1.0×108 to 100 CFU/㎖. The standard curve of the serially diluted cells was linear for at least seven orders of magnitude from 103 to 109 CFU/㎖ of L. monocytogenes. When cells were diluted in sausages, the linearity range was from 104 to 108 CFU/㎖. The correlation coefficient (R2) of diluted cells was 0.9888 and the slope of the curve was —2.6621. The coefficient and slope of inoculated samples were 0.9916 and —2.747, respectively. The R2 value for serially diluted L. monocytogenes and artificially contaminated sausage samples were acceptable. The approach described in this study represents the potency of the quantification of L. monocytogenes in sausage samples by quantitative real-time PCR. It can be used in monitoring the presence and persistence of this pathogen in sausages.

Piperine, component of pure ground black pepper, has strong stimulative and trot. Analytical method for piperine was developed by high performance liquid chromatography. Analytical conditions are as follows; mobile phase is 70% methanol, detector LTV 343 nm (0.05 AuFa), column is Novapak 5 C_(10) (15 cm × 4.6 mm), flow rate is 1.0 ml/min, chart speed is 0.25 cm/ min and intjection volume is 20 Etl. Analytical results are as follows that relative standard deviation is 1.15%, calibration curve is y=170473.1×-7848.5 (R²=0.999) that shows good linearity. Standard solution of piperine is stable up to 10 hr and content of piperine in pure ground black pepper is 4.97±0.86%. Retention time of piperine in HPLC method is about 7 min. Therefore, the developed HPLC method including simple pretreatment of sample will be contribute to quality management.