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Determination of 8-iso-PGF as Oxidative Stress Marker in Human Urine by High Performance Liquid Chromatography with Tandem Mass Spectrometry (LC/MS/MS를 이용한 산화성 스트레스 지표로써 소변 중 8-iso-PGF 분석)

  • Kho, Young-Lim;Lee, Eun-Hee;Chae, Hong-Jae;Choi, Kyung-Ho;Paik, Do-Myung
    • Journal of Environmental Health Sciences
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    • v.36 no.1
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    • pp.44-51
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    • 2010
  • This study aimed to develop analytical method for 8-isoprostanes as biomarkers for oxidative stress with LC/MS/MS technique and to apply the method for human urine samples. Analyzed compounds for urinary oxidative stress markers were 7 stereo-isomers of prostaglandins and the internal standard (iso-$PGF_{2{\alpha}}-d_4$) was used to adjust the recovery rate. The method for determining urinary iso-$PGF_{2{\alpha}}$ consisted of solid phase extraction and LC/MS/MS detection. Separation of isomers of prostaglandins completed by porous graphitic carbon column and buffer solution. Detection limits for urinary markers of oxidative stress, iso-$PGF_{2{\alpha}}$ with LC/MS/MS were 0.01 ng/ml by S/N ratio 3 and 0.028 ng/ml by calculated as to FDA method. The recovery (92.8~101.9%) and precision (8.8~20.7%) of analysis were feasible for detecting iso-$PGF_{2{\alpha}}$ in real human urine samples. We detected 4 isomers of prostaglandins in human urine samples. Mean (standard deviation) of urinary iso-$PGF_{2{\alpha}}$ concentration were 0.231 (0.117) ng/mg creatinine for smoking group and 0.154 (0.082) ng/mg creatinine for non-smoking group.

A Study on a Working Pattern Analysis Prototype using Correlation Analysis and Linear Regression Analysis in Welding BigData Environment (용접 빅데이터 환경에서 상관분석 및 회귀분석을 이용한 작업 패턴 분석 모형에 관한 연구)

  • Jung, Se-Hoon;Sim, Chun-Bo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.10
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    • pp.1071-1078
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    • 2014
  • Recently, information providing service using Big Data is being expanded. Big Data processing technology is actively being academic research to an important issue in the IT industry. In this paper, we analyze a skilled pattern of welder through Big Data analysis or extraction of welding based on R programming. We are going to reduce cost on welding work including weld quality, weld operation time by providing analyzed results non-skilled welder. Welding has a problem that should be invested long time to be a skilled welder. For solving these issues, we apply connection rules algorithms and regression method to much pattern variable for welding pattern analysis of skilled welder. We analyze a pattern of skilled welder according to variable of analyzed rules by analyzing top N rules. In this paper, we confirmed the pattern structure of power consumption rate and wire consumption length through experimental results of analyzed welding pattern analysis.

An Accuracy Assessment of the Terrestrial LiDAR for Landslide Monitoring (산사태 모니터링을 위한 지상라이다 자료의 정확도 평가)

  • Park, Jae-Kook;Lee, Sang-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.2
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    • pp.117-127
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    • 2008
  • Korea has a large number of landslides due to localized torrential downpours and typhoons in summer, causing great human damage and economic losses. In particular, most roads in the Gangwon area are located in mountains, making them expose to a great risk of landslide. Therefore, it is urgent to prepare countermeasures to prevent these landslides. Necessary for that are various slope investigation and high-tech observation techniques for slope maintenance. Recently there have been slope observation techniques using optical fiber sensors, GPS, CCD cameras, Total Station and satellite images; however, these are not used much due to poor economic feasibility, low accuracy and efficiency. This study evaluated accuracy of displacement extraction of model slopes using terrestrial LiDAR to determine its application to landslide monitoring. As a result, it can measure several mm of minute displacement with high accuracy and help to rapidly obtain geographical features of slope.

Activation of Innate Immunity by Lepiota procera Enhances Antitumor Activity (큰갓버섯(Lepiota procera) 추출물의 면역자극 활성에 의한 항암 증진 효과)

  • Kim, Doh-Hee;Han, Kyung-Hoon;Song, Kwan-Yong;Lee, Kye-Heui;Jo, Sun-Young;Lee, Seog-Won;Yoon, Taek-Joon
    • Korean Journal of Pharmacognosy
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    • v.41 no.2
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    • pp.115-121
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    • 2010
  • The present study was designed to explore an immunostimulating activity of crude extracts of Macrolepiota procera, and a combination therapy of cisplatin and Macrolepiota procera extracts which can potentiate the anti-cancer activity of cisplatin. For these, water extraction of Macrolepiota procera were performed at $4^{\circ}C$(MPE-4) and $100^{\circ}C$(MPE-100). In experimental metastasis of colon26-M3.1 cells, prophylactic intravenous administration of MPE ($80-2,000{\mu}g$/mouse) inhibited tumor metastasis compared with tumor control. Peritoneal macrophages stimulated with MPE produced IL-12 as well as induced tumoricidal activity. In an analysis of NK-cell activity, i.v. administration of MPE ($200{\mu}g$/mouse) significantly augmented NK cytotoxicity to YAC-1 tumor cells. The combination treatments of cisplatin ($20{\mu}g$) and MPE ($100{\mu}g$) exhibited prolongation of lifespan in colon26-M3.1 tumor bearing mouse. These results suggested that MPE stimulate immune system non-specifically and application as adjuvant in cancer treatment.

Hyperspectral Target Detection by Iterative Error Analysis based Spectral Unmixing (Iterative Error Analysis 기반 분광혼합분석에 의한 초분광 영상의 표적물질 탐지 기법)

  • Kim, Kwang-Eun
    • Korean Journal of Remote Sensing
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    • v.33 no.5_1
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    • pp.547-557
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    • 2017
  • In this paper, a new spectral unmixing based target detection algorithm is proposed which adopted Iterative Error Analysis as a tool for extraction of background endmembers by using the target spectrum to be detected as initial endmember. In the presented method, the number of background endmembers is automatically decided during the IEA by stopping the iteration when the maximum change in abundance of the target is less than a given threshold value. The proposed algorithm does not have the dependence on the selection of image endmembers in the model-based approaches such as Orthogonal Subspace Projection and the target influence on the background statistics in the stochastic approaches such as Matched Filter. The experimental result with hyperspectral image data where various real and simulated targets are implanted shows that the proposed method is very effective for the detection of both rare and non-rare targets. It is expected that the proposed method can be effectively used for mineral detection and mapping as well as target object detection.

Enhanced Separation Technique of Heavy Metal (Pb, Zn) in Contaminated Agricultural Soils near Abandoned Metal Mine (폐금속 광산지역 농경지 납, 아연 오염 토양의 중금속 고도선별)

  • Park, Chan Oh;Kim, Jin Soo;Seo, Seung Won;Lee, Young Jae;Lee, Jai Young;Park, Mi Jeong;Kong, Sung Ho
    • Journal of Soil and Groundwater Environment
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    • v.18 no.7
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    • pp.41-53
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    • 2013
  • The study is to propose the optimal separation technique of heavy metals (Pb and Zn) contaminated in soil for improving the removal efficiency by various applicable techniques. The heavy metal contaminated soil samples near abandoned mine X-1 and X-2 were used for the study. Firstly, the wet classification process was shown more than 80% of removal efficiency for lead and zinc. Meanwhile, the magnetic separation process was shown low removal efficiency for lead and zincs because those heavy metals were non-magnetic materials. For the next step, the flotation separation process was shown approximately 24.4% of removal efficiency for zinc, while the gravity concentration process was shown approximately 57% of removal efficiency for lead, and 19.9% of removal efficiency for zinc, respectively. Therefore, zinc contaminated in soil would be effectively treated by the combination technique of the wet classification and the flotation technique. Meanwhile, lead contaminated in soil would be effectively treated by the combination technique of the wet classification process and the flotation process. Furthermore, the extraction of organic matter was shown more effective with aeration, 3% of hydrogen peroxide and 3% of lime such as calcium hydroxide.

Development of Multiplex Polymerase Chain Reaction Assay for Identification of Angelica Species (Multiplex Polymerase Chain Reaction을 이용한 당귀 종 판별)

  • Kim, Yong Sang;Park, Hyeok Joo;Lee, Dong Hee;Kim, Hyun Kyu
    • Korean Journal of Medicinal Crop Science
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    • v.26 no.1
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    • pp.26-31
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    • 2018
  • Background: Angelica gigas, A. sinensis, and A. acutiloba are commercially important in the herbal medicine market, and among them, A. gigas has the highest economic value and price. However, their similar morphological traits are often used for fraud. Despite their importance in herbal medicine, recognition of the differences between Angelica species is currently inadequate. Methods and Results: A multiplex polymerase chain reaction (PCR) method was developed for direct detection and identification of A. gigas, A. sinensis, and A. acutiloba. The gene for the distinction of species was targeted at ITS in the nucleus and trnC-petN gene in chloroplasts. The optimized multiplex PCR in the present study utilized each Angelica species-specific primer pairs. Each primer pair yielded products of 229 base pairs (bp) for A. gigas, 53 bp for A. sinensis, 170 bp for A. acutiloba. Additionally non-specific PCR products were not detected in similar species by species-specific primers. Conclusions: In the present study, a multiplex-PCR assay, successfully assessed the authenticity of Angelica species (A. gigas, A. sinensis, and A. acutiloba). and whole genome amplification (WGA) was performed after DNA extraction to identify, the species in the product. The detection method of raw materials developed in the present study could be applied to herbal medicine and health functional food management.

Monitoring 4-Chlorobiphenyl-Degrading Bacteria in Soil Microcosms by Competitive Quantitative PCR

  • Lee, Soo-Youn;Song, Min-Sup;You, Kyung-Man;Kim, Bae-Hoon;Bang, Seong-Ho;Lee, In-Soo;Kim, Chi-Kyung;Park, Yong-Keun
    • Journal of Microbiology
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    • v.40 no.4
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    • pp.274-281
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    • 2002
  • The competitive quantitative PCR method targeting pcbC gene was developed for monitoring 4-chlorobiphenyl(4CB)-degrading bacteria, Pseudomonas sp. strain DJ-12, in soil microcosms. The method involves extraction of DNA from soil contaminated with 4CB, PCR amplification of a pcbC gene fragment from the introduced strain with a set of strain-specific primers, and quantification of the elec-trophoresed PCR product by densitometry. To test the adequacy of the method, Pseudomonas sp. strain DJ-12 was introduced into both contaminated and non-contaminated soil microcosms amended with 4CB. Pseudomonas sp. strain DJ-12 was monitored and quantified by a competitive quantitative PCR in comparison with 4CB degradation and the result was compared to those obtained by using the conventional cultivation method. We successfully detected and monitored 4CB-degrading bacteria in each microcosm and found a significant linear relationship between the number of 4CB-degrading bacteria and the capacity for 4CB biodegradation. The results of DNA spiking and cell-spreading experiments suggest that this competitive quantitative PCR method targeting the pcbC gene for monitoring 4CB- degrading bacteria appears to be rapid, sensitive and more suitable than the microbiological approach in estimating the capacity of 4CB biodegradation in environmental samples.

Application of Near Infrared Spectroscopy for Nondestructive Evaluation of Nitrogen Content in Ginseng

  • Lin, Gou-lin;Sohn, Mi-Ryeong;Kim, Eun-Ok;Kwon, Young-Kil;Cho, Rae-Kwang
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1528-1528
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    • 2001
  • Ginseng cultivated in different country or growing condition has generally different components such as saponin and protein, and it relates to efficacy and action. Protein content assumes by nitrogen content in ginseng radix. Nitrogen content could be determined by chemical analysis such as kjeldahl or extraction methods. However, these methods require long analysis time and result environmental pollution and sample damage. In this work we investigated possibility of non-destructive determination of nitrogen content in ginseng radix using near-infrared spectroscopy. Ginseng radix, root of Panax ginseng C. A. Meyer, was studied. Total 120 samples were used in this study and it was consisted of 6 sample sets, 4, 5 and 6-year-old Korea ginseng and 7, 8 and 9-year-old China ginseng, respectively. Each sample set has 20 sample. Nigrogen content was measured by electronic analysis. NIR reflectance spectra were collected over the 1100 to 2500 nm spectral region with a InfraAlyzer 500C (Bran+Luebbe, Germany) equipped with a halogen lapmp and PbS detector and data were collected every 2 nm data point intervals. The calibration models were carried out by multiple linear regression (MLR) and partial least squares (PLS) analysis using IDAS and SESAME software. Result of electronic analysis, Korean ginseng were different mean value in nitrogen content of China ginseng. Ginseng tend to generally decrease the nitrogen content according as cultivation year is over 6 years. The MLR calibration model with 8 wavelengths using IDAS software accurately predicted nitrogen contents with correlation coefficient (R) and standard error of prediction of 0.985 and 0.855%, respectively. In case of SESAME software, the MLR calibration with 9 wavelength was selected the best calibration, R and SEP were 0.972 and 0.596%, respectively. The PLSR calibration model result in 0.969 of R and 0.630 of RMSEP. This study shows the NIR spectroscopy could be applied to determine the nitrogen content in ginseng radix with high accuracy.

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ASSESSMENT OF INFERIOR ALVEOLAR NERVE DAMAGE USING DIGITAL INFRARED THERMOGRAPHIC IMAGING (디지털 적외선 체열 검사를 사용한 하치조 신경 손상의 평가)

  • Lee, Ji-Yeon;Lee, Jae-Hoon;Kim, Chul-Hwan
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.30 no.6
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    • pp.488-496
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    • 2004
  • Oral & Maxillofacial surgery can lead to complications that result in abnormal sensation or movement. Inferior alveolar nerve(IAN) injury can result in dysesthesia, paresthsia of the lower lip and chin, so patients presenting with IAN damage suffer from sensory loss. But diagnosis of the nerve injury is largely limited to the subjective statements made by the patient. Distribution of sympathetic nerves parallels the distribution of the somatosensory nerves. Loss of sensory tone causes a concomitant loss of sympathetic activity, resulting in vasodilation of the cutaneous blood vessels that demonstrates greater heat loss. Digital infrared thermographic imaging(DITI) detects infra-red radiation given off by body. DITI can detect minute difference in temperature from different parts of the body and translates the amount of heat into quantitative data. The area of different temperature correlated with pain or disease can be visualized by corresponding color. The objective of this study was to determine the efficacy of DITI in objectively assessing IAN injury. The 19 normal subjects and the 14 patients underwent DITI scan. The normal subjects received unilateral IAN block anesthesia with 2 ml of 2% lidocaine (IAN bolck group) to evaluate temporary alteration in nerve function. Patient group were patients with unilateral IAN damage (dysesthesia or paresthesia) after surgical treatment(Mn. 3rd molar Extraction, etc.). The surgical procedure performed within 6 months of test. The results were as follows. 1. No significant differences in temperature were found between left and right sides of the lower lip and chin in the control group. 2. Significant temperature differences were found between the anesthetized and non-anesthetized sides of the lower lip and chin in the IAN block group. 3. Significant temperature differences were found between the involved and uninvolved sides of the lower lip and chin areas of the experimental group. The results of the study show that DITI can be an useful and effective means of objectively assessing and visualizing IAN damage.