• Title/Summary/Keyword: receptor modeling

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A Study on individual Diesel Particles by SEM/EDX (SEM/EDX를 이용한 디젤 분진의 입자별 분석)

  • 김혜진;이종태;김동술
    • Journal of Korean Society for Atmospheric Environment
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    • v.15 no.2
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    • pp.175-182
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    • 1999
  • Scanning electron microscopy (SEM) has played an important role in receptor modeling area because it is a powerful tool for characterizing individual particles. The purpose of the study was to classify individual diesel particles base on statistical analysis and image analysis by SEM/EDX (energy dispersive x-ray analyser). The diesel particles were sampled by both a modified CVS 75 mode and a high speed mode with a chassis dynamometer. The SEM/EDX system provides various physical parameters including particle's particle diameter and chemical information. Thus density and mass of the diesel particle were estimated cased on its chemical composition and further fractal dimensions of the diesel particle were obtained by the Hurst exponent method. The fractal dimension in the sample of modified CVS 75 mode was higher than the high speed mode. Finally, mass fractions for a diesel vehicle as a source profile were estimated cased on a particle class concept.

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A Study on the Fine Particle($PM_{2.5}$) Source Profiles for Soil and Road Dust Applicable to Receptor Modeling (수용모델 적용을 위한 토양 및 도로먼지에 대한 미세입자 배출원 구성물질 성분비에 관한 연구)

  • 강병욱;이학성;이상권;강충민;최영민;이지영
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2001.11a
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    • pp.185-186
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    • 2001
  • 미세입자의 배출원을 추정하기 위해서는 수용지점에 영향을 미칠 수 있는 배출원의 화학적 특성에 관한 정보를 필요로 한다. 수용모델(chemical mass balance model, CMB)의 경우, 모델수행에 필요한 정보는 각각의 배출원에서 배출되는 입자의 화학적 구성성분특성을 파악하는 것이 가장 중요하다(Waton et al., 1984; U. S. EPA, 1987; 강병욱 등, 2000) 이러한 배출원으로는 각종 산업배출원, 자동차, 토양, 도로 비산먼지 등 지역의 특성에 따라서 다양한 배출원들이 대상이 될 수 있다. (중략)

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Advances in the Development and Validation of Test Methods in the United States

  • Casey, Warren M.
    • Toxicological Research
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    • v.32 no.1
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    • pp.9-14
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    • 2016
  • The National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods (NICEATM) provides validation support for US Federal agencies and the US Tox21 interagency consortium, an interagency collaboration that is using high throughput screening (HTS) and other advanced approaches to better understand and predict chemical hazards to humans and the environment. The use of HTS data from assays relevant to the estrogen receptor signaling data pathway is used as an example of how HTS data can be combined with computational modeling to meet the needs of US agencies. As brief summary of US efforts in the areas of biologics testing, acute toxicity, and skin sensitization will also be provided.

Characterization of Inorganic Chemicals in Total Suspended Particulates and a Source Apportionment by Chemical Mass Balance Model (대기 분진의 무기 화학적 조성 분석과 Chemical Mass Balance에 의한 오염원 기여도 산출)

  • Seo, Young-Hwa;Koo, Ja-Kong
    • Journal of Korean Society for Atmospheric Environment
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    • v.8 no.2
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    • pp.112-120
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    • 1992
  • Twenty four metal, nonmetal elements and 4 major anions in total suspended particulates (TSP) collected at two sites in Daejon city from october to december in 1991 by a Hi-vol sampler were thoroughly analyzed by Inductively Coupled Plasma/ Atomic Emission Spectrometry (ICP/AES) and Ion Chromatography (IC). These analyzed data were used to perform a receptor modeling using the Chemical Mass Balance (CMB) for the source apportionment of TSP sample. Approximately 60% TSP weight in industrial complex area was influenced by potential industrial sources and 25% was by heating fuels and automobile emissions, whereas a half of TSP in residential area was influenced by surrounding environment and more than 35% of TSP was influenced by heating fuels. The CMB model provided source apportionment results reasonably and scientifically with a minor limitation.

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Design, Synthesis and in-vitro Screening of New 1H-Pyrazole and 1,2-Isoxazole Derivatives as Potential Inhibitors for ROS and MAPK14 Kinases

  • Al-Sanea, Mohammad M.;El-Deeb, Ibrahim M.;Lee, So Ha
    • Bulletin of the Korean Chemical Society
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    • v.34 no.2
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    • pp.437-442
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    • 2013
  • A new series of 4-(2-(substituted)pyridin-4-yl)-3-(3-methoxy-5-methylphenyl)-1H-pyrazoles (4a-f) and their 1,2-isoxazole analogues (5a-f) has been rationally designed, synthesized and screened against both ROS and MAPK14 kinases. Compounds 4b, 4c and 4e showed moderate inhibitions against both ROS and MAPK14 kinases. Compound 4e has showed the strongest inhibitions with IC50 values of 1.25 ${\mu}M$ and 3.00 ${\mu}M$ against ROS and MAPK14 kinases, respectively. A brief structure-activity relationship study and a molecular modeling study were made revealing a group of essential structural features for good kinase inhibitory activity within this new class of kinase inhibitors.

Source Identification of Ambient Size-by-Size Particulate Using the Positive Matrix Factorization Model on the Border of Yongin and Suwon (PMF 모델을 이용한 용인-수원경계지역에서의 부유분진의 크기별 오염원 확인)

  • Oh, Mi-Seok;Lee, Tae-Jung;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
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    • v.25 no.2
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    • pp.108-121
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    • 2009
  • The suspended particulate matters have been collected on membrane filters and glass fiber filters by an 8-stage cascade impactor for 2 years (Sep. 2005${\sim}$Sep. 2007) in Kyung Hee University-Global Campus located on the border of Yongin and Suwon. The 20 chemical species (Al, Mn, Si, Fe, Cu, Pb, Cr, Ni, V, Cd, Ba, $Na^+$, ${NH_4}^+$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, ${NO_3}^-$, and ${SO_4}^{2-}$) were analyzed by an ICP-AES and an IC after performing proper pre-treatments of each sample filter. Based on these chemical information, the PMF receptor model was applied to identify the source of ambient size-by-size particulate matters. The receptor modeling is the one of the statistical methods to achieve resonable air pollution management strategies. A total of 10 sources was identified in 9 size-ranges such as long-range transport, secondary aerosol, $NH_{4}NO_{3}$ related source, coal combustion, sea-salt, soil, oil combustion, auto emission, incineration, and biomass burning. Especially, the secondary aerosol source assorted in fine and coarse modes was intensively studied.

Computational and experimental characterization of estrogenic activities of 20(S, R)-protopanaxadiol and 20(S, R)-protopanaxatriol

  • Zhang, Tiehua;Zhong, Shuning;Hou, Ligang;Wang, Yongjun;Xing, XiaoJia;Guan, Tianzhu;Zhang, Jie;Li, Tiezhu
    • Journal of Ginseng Research
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    • v.44 no.5
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    • pp.690-696
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    • 2020
  • Background: As the main metabolites of ginsenosides, 20(S, R)-protopanaxadiol [PPD(S, R)] and 20(S, R)-protopanaxatriol [PPT(S, R)] are the structural basis response to a series of pharmacological effects of their parent components. Although the estrogenicity of several ginsenosides has been confirmed, however, the underlying mechanisms of their estrogenic effects are still largely unclear. In this work, PPD(S, R) and PPT(S, R) were assessed for their ability to bind and activate human estrogen receptor α (hERα) by a combination of in vitro and in silico analysis. Methods: The recombinant hERα ligand-binding domain (hERα-LBD) was expressed in E. coli strain. The direct binding interactions of ginsenosides with hERα-LBD and their ERα agonistic potency were investigated by fluorescence polarization and reporter gene assays, respectively. Then, molecular dynamics simulations were carried out to simulate the binding modes between ginsenosides and hERα-LBD to reveal the structural basis for their agonist activities toward receptor. Results: Fluorescence polarization assay revealed that PPD(S, R) and PPT(S, R) could bind to hERα-LBD with moderate affinities. In the dual luciferase reporter assay using transiently transfected MCF-7 cells, PPD(S, R) and PPT(S, R) acted as agonists of hERα. Molecular docking results showed that these ginsenosides adopted an agonist conformation in the flexible hydrophobic ligand-binding pocket. The stereostructure of C-20 hydroxyl group and the presence of C-6 hydroxyl group exerted significant influence on the hydrogen bond network and steric hindrance, respectively. Conclusion: This work may provide insight into the chemical and pharmacological screening of novel therapeutic agents from ginsenosides.

A Role for Leu247 Residue within Transmembrane Domain 2 in Ginsenoside-Mediated α7 Nicotinic Acetylcholine Receptor Regulation

  • Lee, Byung-Hwan;Choi, Sun-Hye;Pyo, Mi Kyung;Shin, Tae-Joon;Hwang, Sung-Hee;Kim, Bo-Ra;Lee, Sang-MoK;Lee, Jun-Ho;Lee, Joon-Hee;Lee, Hui Sun;Choe, Han;Han, Kyou-Hoon;Kim, Hyoung-Chun;Rhim, Hyewhon;Yong, Joon-Hwan;Nah, Seung-Yeol
    • Molecules and Cells
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    • v.27 no.5
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    • pp.591-599
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    • 2009
  • Nicotinic acetylcholine receptors (nAChRs) play important roles in nervous system functions and are involved in a variety of diseases. We previously demonstrated that ginsenosides, the active ingredients of Panax ginseng, inhibit subsets of nAChR channel currents, but not ${\alpha}7$, expressed in Xenopus laevis oocytes. Mutation of the highly conserved Leu247 to Thr247 in the transmembrane domain 2 (TM2) channel pore region of ${\alpha}7$ nAChR induces alterations in channel gating properties and converts ${\alpha}7$ nAChR antagonists into agonists. In the present study, we assessed how point mutations in the Leu247 residue leading to various amino acids affect 20(S)-ginsenoside $Rg_3$ ($Rg_3$) activity against the ${\alpha}7$ nAChR. Mutation of L247 to L247A, L247D, L247E, L247I, L247S, and L247T, but not L247K, rendered mutant receptors sensitive to $Rg_3$. We further characterized $Rg_3$ regulation of L247T receptors. We found that $Rg_3$ inhibition of mutant ${\alpha}7$ nAChR channel currents was reversible and concentration-dependent. $Rg_3$ inhibition was strongly voltage-dependent and noncompetitive manner. These results indicate that the interaction between $Rg_3$ and mutant receptors might differ from its interaction with the wild-type receptor. To identify differences in $Rg_3$ interactions between wild-type and L247T receptors, we utilized docked modeling. This modeling revealed that $Rg_3$ forms hydrogen bonds with amino acids, such as Ser240 of subunit I and Thr244 of subunit II and V at the channel pore, whereas $Rg_3$ localizes at the interface of the two wild-type receptor subunits. These results indicate that mutation of Leu247 to Thr247 induces conformational changes in the wild-type receptor and provides a binding pocket for $Rg_3$ at the channel pore.

Identification of Source Locations for Atmospheric Dry Deposition of Heavy Metals during Yellow-Sand Events in Seoul, Korea in 1998 Using Hybrid Receptor Models

  • Han, Young-Ji;Holsen, Thomas M.;Hopke, Philip K.;Cheong, Jang-Pyo;Kim, Ho;Yi, Seung-Muk
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2004.06a
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    • pp.92-106
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    • 2004
  • Elemental dry deposition fluxes were measured using dry deposition plates from March to June 1998 in Seoul, Korea. During this spring sampling period several yellow sand events characterized by long-range transport from China and Mongolia impacted the area. Understanding the impact of yellow-sand events on atmospheric dry deposition is critical to managing the heavy metal levels in the environment in Korea. In this study, the measured flux of a primarily crustal metal, Al and an anthropogenic metal, Pb was used with two hybrid receptor models, potential source contribution function (PSCF) and residence time weighted concentration (RTWC) for locating sources of heavy metals associated with atmospheric dry deposition fluxes during the yellow-sand events in Seoul, Korea. The PSCF using a criterion value of the 75th percentile of the measured dry deposition fluxes and RTWC results using the measured elemental dry deposition fluxes agreed well and consistently showed that there were large potential source areas in the Gobi Desert in China and Mongolia and industrial areas near Tianjin, Tangshan, and Shenyang in China. Major industrial areas of Shenyang, Fushun, and Anshan, the Central China loess plateau, the Gobi Desert, and the Alaskan semi-desert in China were identified to be major source areas for the measured Pb flux in Seoul, Korea. For Al, the main industrial areas of Tangshan, Tianjin and Beijing, the Gobi Desert, the Alashan semi-desert, and the Central China loess plateau were found to be the major source areas. These results indicate that both anthropogenic sources such as industrial areas and natural sources such as deserts contribute to the high dry deposition fluxes of both Pb and Al in Seoul, Korea during yellow-sand events. RTWC resolved several high potential source areas. Modeling results indicated that the long-range transport of Al and Pb from China during yellow-sand events as well as non yellow-sand spring daytimes increased atmospheric dry deposition of heavy metals in Korea.

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Identification of Atmospheric PM10 Sources and Estimating Their Contributions to the Yongin-Suwon Bordering Area by Using PMF (PMF모델을 이용한 용인.수원 경계지역에서 PM10 오염원의 확인과 상대적 기여도의 추정)

  • Lee, Hyung-Woo;Lee, Tae-Jung;Yang, Sung-Su;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.4
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    • pp.439-454
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    • 2008
  • The purpose of this study was to extensively identify $PM_{10}$ sources and to estimate their contributions to the study area, based on the analysis of the $PM_{10}$ mass concentration and the associated inorganic elements, ions, and total carbon. The contribution of $PM_{10}$ sources was estimated by applying a receptor method because identifying air emission sources were effective way to control the ambient air quality. $PM_{10}$ particles were collected from May to November 2007 in the Yongin-Suwon bordering area. $PM_{10}$ samples were collected on quartz filters by a $PM_{10}$ high-volume air sampler. The inorganic elements (Al, Mn, V, Cr, Fe, Ni, Cu, Zn, Cd, Pb, Si, Ba, Ti and Ag) were analyzed by an ICP-AES after proper pre-treatments of each sample. The ionic components of these $PM_{10}$ samples ($Cl^_$, $NO_3^-$, $SO_4^{2-}$, $Na^+$, $NH_4^+$, $K^+$, $Ca^{2+}$, and $Mg^{2+}$) were analyzed by an IC. The carbon components (OC1, OC2, OC3, OC4, OP, EC1, EC2 and EC3) were also analyzed by DRI/OGC analyzer. Source apportionment of $PM_{10}$ was performed using a positive matrix factorization (PMF) model. After performing PMF modeling, a total of 8 sources were identified and their contribution were estimated. Contributions from each emission source were as follows: 13.8% from oil combustion and industrial related source, 25.4% from soil source, 22.1% from secondary sulfate, 12.3% from secondary nitrate, 17.7% from auto emission including diesel (12.1%) and gasoline (5.6%), 3.1% from waste incineration and 5.6% from Na-rich source. This study provides information on the major sources affecting air quality in the receptor site, and therefore it will help us maintain and manage the ambient air quality in the Yongin-Suwon bordering area by establishing reliable control strategies for the related sources.