• Title/Summary/Keyword: IC-MS/MS

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α-Glucosidase inhibitory caged xanthones from the resin of Garcinia hanburyi

  • Jin, Young Min;Kim, Jeong Yoon;Lee, Soo Min;Tan, Xue Fei;Park, Ki Hun
    • Journal of Applied Biological Chemistry
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    • v.62 no.1
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    • pp.81-86
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    • 2019
  • A yellow resin (gamboge) from Garcinia hanburyi has been widely used as folk medicine due to its antibacterial and antitumor activities. We isolated four ${\alpha}$-glucosidase inhibitory compounds from the methanol extract of gamboge. The compounds (1-4) were identified as gambogoic acid (1), moreollic acid (2), gambogic acid (3), and 10-methoxygambogenic acid (4), respectively through spectroscopic data including 2D-NMR and HREIMS. All compounds were examined in the enzyme inhibition assay against ${\alpha}$-glucosidase to identify their inhibitory potencies and kinetic behavior. All compounds (1-4) showed enzyme inhibition against ${\alpha}$-glucosidase, but the activity was significantly affected by the methoxy group on C-10 of ring A and pentenyl pyran moiety of ring D. For example, compound 1 ($IC_{50}=41.4{\mu}M$) bearing pyran ring eight times effective that 4 ($IC_{50}=350.6{\mu}M$) having geranyl group itself. Most active compound was found out to be gambogoic acid (1) which was analyzed most abundant metabolite in gamboge by LC-ESI-MS/MS. In kinetic study, compounds 1 and 2 were proved as noncompetitive inhibitors.

Characteristics of PM2.5 Carbonaceous Aerosol using PILS-TOC and GC/MS-TD in Seoul (PILS-TOC 및 GC/MS-TD를 이용한 서울시 대기 중 초미세먼지(PM2.5) 유기탄소의 특성 분석)

  • Park, Da-Jeong;Ahn, Joon-Young;Shin, Hye-Jung;Bae, Min-Suk
    • Journal of Korean Society for Atmospheric Environment
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    • v.30 no.5
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    • pp.461-476
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    • 2014
  • Continuous Water-Soluble Organic Carbons (WSOC) by the Particle Into Liquid Sampler - Total Organic Carbon (PILS-TOC) analyzer were measured at the Seoul intensive monitoring site from June 17 through July 5 in 2014. In addition, the 24 hour integrated PM2.5 collected by Teflon and Quartz filters were analyzed for water soluble ions by Ion chromatography (IC), WSOC by TOC from water extracts, organic carbon (OC), elemental carbon (EC) by carbon analyzer using the thermal optical transmittance (TOT) method, and mass fragment ions (m/z) related to alkanes and PAHs (Poly Aromatic Hydrocarbons) by Gas Chromatography-Mass Spectrometer-Thermal Desorption (GC/MS-TD). Based on the statistical analysis, four different Carbonaceous Thermal Distributions (CTDs) from OCEC thermal-gram were identified. This study discusses the primary and secondary sources of WSOC based on the Classified CTD, organic mass fragments, and diurnal patterns of WSOC. The results provide knowledge regarding the origins of WSOC and their behaviors.

Analysis of Liquid in the Sarira Container excavated from the Wangheungsaji of Buyeo (부여 왕흥사지 출토 사리기 내 액체 성분분석)

  • Hwang, Jin-Ju;Han, Min-Su;Kang, So-Yeong
    • 보존과학연구
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    • s.29
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    • pp.111-124
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    • 2008
  • Gold case which is called sarari container was excavated from Wangheungsaji of Buyeo in October 2007. This case did not contain sarira, but was filled with clear liquid. This study focused on component analysis of the liquid which had filled sarira container, because we didn't know if this case had not originally contained sarira or not. It is said that original sarira can be melted by a some liquid in this case. So, many kinds of samples which are liquid, soil and ground water, was collected from a inner and outer of sarira container, and analyzed using a IC, ICP-MS, GC-MS and SEM-EDS. As a result of analysis, all of the elements composition was identified by general components of soil and ground water. Especially, phosphate which is chemical element to consist of human bone, did not found in this liquid.

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Anti-inflammatory Activities of Cinanamomum burmanni Bl

  • Khatib, Alfi;Kim, Mi-Yeon;Chung, Shin-Kyo
    • Food Science and Biotechnology
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    • v.14 no.2
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    • pp.223-227
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    • 2005
  • Anti-inflammatory assay was conducted on 20 kinds of traditional Indonesian medicinal herbs using soybean lipoxygenase (SLO) and hyaluronidase (HAse). Cinnamomun burmanni Bl showed highest anti-inflammatory activity. Ethyl acetate fraction from methanol extract of C. burmanni Bl bark showing high SLO inhibitory activity was isolated using silica gel-60 column chromatography. Two compounds were isolated and purified through preparative HPLC. Through analyses of UV, $^1H-NMR$, $^{13}C-NMR$, EI-MS and $FAB^+-MS$, compounds 1 and 2 were identified as coumarin and 2-hydroxy cinnamaldehyde, respectively, among which 2-hydroxy cinnamaldehyde showed SLO inhibitory activity of $IC_{50}\;=\;60\;{\mu}M$. Both compounds did not exhibit HAse inhibitory activity.

Identification of Antioxidative Component from Stem Bark of Rhus verniciflua (옻나무 껍질에서 분리한 항산화물질의 성분)

  • Kim, Jung-Bae
    • The Korean Journal of Food And Nutrition
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    • v.16 no.1
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    • pp.60-65
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    • 2003
  • An antioxidant compound was obtained from the water extract of the stem bark from Rhus verniciflua, which has been used in traditional folk remedies. The compound was purified by HPLC, using DEAE, CN and ODS columns. The chemical structure of the compound was identified as gallic acid (3,4,5-hydroxylbenzoic acid) by spectral data including UV, IR, EI (HR)-MS, $^1$H-NMR, $\^$13/C-NMR and elemental analyzer. This compound was found show cytotoxicity against HeLa cell ( IC$\_$50/ : 8.5$\mu\textrm{g}$/$m\ell$).

A New Dimeric Lignan from the Stems of Willughbeia edulis

  • Nguyen, Hai Xuan;Do, Truong Nhat Van;Le, Tho Huu;Dang, Phu Hoang;Nguyen, Mai Thanh Thi;Nguyen, Nhan Trung
    • Natural Product Sciences
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    • v.28 no.2
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    • pp.53-57
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    • 2022
  • As part of our continued study on the chemical constituents of Willughbeia edulis stems, a new dimeric lignan named edulignan (1) was isolated from its EtOAc-soluble extract. Based on NMR spectroscopic interpretation, the planar structure of 1 has been suggested to have two 2-substituted 4-chromanone subunits with different stereochemical configurations. In addition, the MS/MS analysis of the products obtained by acid-catalyzed hydrolysis of 1 was supportive of its structure. Unfornatually, the new compound 1 did not show 𝛼-glucosidase inhibitory activity with an IC50 value > 250 𝜇M.

Biological Effects of the Leaves and Roots of Ligularia stenocephala (곤달비 잎과 뿌리의 생물 활성)

  • Nam, Young-Joo;Lee, Dong-Ung
    • Journal of Life Science
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    • v.23 no.11
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    • pp.1381-1387
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    • 2013
  • The leaves and roots of Ligularia stenocephala, which are widely used as a food in Korea, were investigated for their antioxidant activities and cytotoxicity in vitro, and their hepatoprotective effect, alcohol detoxicant efficacy, and memory-enhancing property were investigated in vivo. The unique odor of the leaves was analyzed by GC-MS. Lipid peroxidation, superoxide anion formation, and DPPH radicals were inhibited remarkably by the extracts of the leaves and roots. The leaves of this edible plant significantly protected the hepatotoxicity induced by carbon tetrachloride and further diminished the blood alcohol content in mice. While the roots of this plant exhibited adequate cytotoxicity against four human tumor cell lines, especially against melanoma, the leaves revealed relatively weak activity. Both the leaves and the roots exerted an excellent ameliorating property on scopolamine-induced memory impairment in the passive avoidance task using an animal model. The hexane fraction of the leaves was analyzed by GC-MS, suggesting that a series of terpenoids may be odorous compounds in this plant.

Apoptotic Potential and Chemical Composition of Jordanian Propolis Extract against Different Cancer Cell Lines

  • Abutaha, Nael
    • Journal of Microbiology and Biotechnology
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    • v.30 no.6
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    • pp.893-902
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    • 2020
  • Propolis is a resinous substance that is collected by Apis mellifera from plant sources and is used in traditional medicine. To study the phytochemical constituents and apoptotic potential of Jordanian propolis extract against different cancer cell lines, propolis was extracted using methanol, hexane, and ethyl acetate and was fractionated using chromatographic methods. Cytotoxicity was assessed using MTT and LDH assays. The apoptotic potential was investigated using florescence microscopy, multicaspase assay, Annexin-V and dead cell assay, and cell cycle assay. The phytochemical constituents were analyzed using GC-MS. The methanol extract of propolis exhibited cytotoxic potential against all cell lines tested. The IC50 values of the methanol extract were 47.4, 77.8, 91.2, and 145.0 ㎍/ml for HepG2, LoVo, MDAMB231, and MCF7 cell lines, respectively. The IC50 values of the F1 fraction were 31.6 (MDAMB231), 38.9 (HepG2), 36.7 (LoVo) and 75.5 (MCF7) ㎍/ml. On further purification using thin-layer chromatography, the IC50 values of the F1-3 fraction were found to be 84.31(HepG2), 79.2 (MCF7), 70.4 (LoVo), and 68.9 (MDAMB231) ㎍/ml, respectively. The anticancer potential of the F1 fraction was confirmed through the induction of apoptosis and cell cycle arrest at the G0/G1 phase. The GC-MS analysis of the F1 fraction revealed the presence of 3-methyl-4-isopropylphenol (29.44%) as a major constituent. These findings indicate the potential of propolis extract as a cancer therapy. However, further investigation is required to assess the acute and subacute toxicity of the most active fraction.

Development and Application of Fracture Toughness Database (파괴인성 데이터베이스 구축 및 응용)

  • Kang, Jae-Youn;Song, Ji-Ho;Choi, Byung-Ick
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.61-66
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    • 2004
  • Fracture toughness database system was developed with Visual Foxpro 6.0 and operates in MS Windows environment. The database system contains 10,278 sets of $K_{IC}$ data, 7,046 sets of $K_{C}$ data, 784 sets of $J_{IC}$ data, 571 sets of CTOD data, 62 sets of $K_{a}$ data and 26 sets of $K_{Id}$ data. The data were collected from JSMS(Society of Material Science, Japan) fracture toughness data book and USAF(United States Air Force) crack growth database. In addition, the database was applied to predicting $K_{IC}$ from tensile material properties using artificial neural networks.

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