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      Top-down 방식의 열분해질량분석 스펙트라 분석 및 Gram-type 세균 분류 = Analysis of Pyrolysis MS Spectra in Top-down Approach and Differentiation of Gram-type Cells

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      https://www.riss.kr/link?id=A101493415

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      다국어 초록 (Multilingual Abstract)

      To apply TMAH-based Py-MS to a field biological detection system for real-time classification of cell-type, reproducible patterns of the TMAH-based Py-MS spectra was known as a critical factor for classification but was seriously disturbed by quantity of cells injected into pyro-tube. This factor is an exterior variable that could not be complemented by improving the performance of the TMAH-based Py-MS instrument. One of idea to solve the knotty problem has been flashed from "Top-down proteomics for identification of intact microoganisms". That is, biomarker peaks are selected from complicate Py-MS spectra for intact microoganisms by tracing out their origins, based on Py-MS spectra for the featured components of different cell-types, in Top-down approach. This idea has been tested in classification of different Gram-type microoganisms. Through the analyses of spectra for the featured components - peptidoglycan and lipoteichoic acid for Gram-positive cells and lipopolysaccharide and lipid A for Gram-negative cells - with comparing to the spectra the corresponding Gram-type cells in the Top-down approach, biomarker peaks were selected to carry out PCA(Principal Component Analysis) in order to see classification of different Gram-types, resulting in significant improvement of their classification. Furthermore, weighting biomarker peaks on intact cell's spectra, based on the data for the featured components of the Gram-types, contributed to elevate classification performance.
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      To apply TMAH-based Py-MS to a field biological detection system for real-time classification of cell-type, reproducible patterns of the TMAH-based Py-MS spectra was known as a critical factor for classification but was seriously disturbed by quantity...

      To apply TMAH-based Py-MS to a field biological detection system for real-time classification of cell-type, reproducible patterns of the TMAH-based Py-MS spectra was known as a critical factor for classification but was seriously disturbed by quantity of cells injected into pyro-tube. This factor is an exterior variable that could not be complemented by improving the performance of the TMAH-based Py-MS instrument. One of idea to solve the knotty problem has been flashed from "Top-down proteomics for identification of intact microoganisms". That is, biomarker peaks are selected from complicate Py-MS spectra for intact microoganisms by tracing out their origins, based on Py-MS spectra for the featured components of different cell-types, in Top-down approach. This idea has been tested in classification of different Gram-type microoganisms. Through the analyses of spectra for the featured components - peptidoglycan and lipoteichoic acid for Gram-positive cells and lipopolysaccharide and lipid A for Gram-negative cells - with comparing to the spectra the corresponding Gram-type cells in the Top-down approach, biomarker peaks were selected to carry out PCA(Principal Component Analysis) in order to see classification of different Gram-types, resulting in significant improvement of their classification. Furthermore, weighting biomarker peaks on intact cell's spectra, based on the data for the featured components of the Gram-types, contributed to elevate classification performance.

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      참고문헌 (Reference)

      1 Plamen A. Demirev, "Top-Down Proteomics for Rapid Identification of Intact Microorganisms" 77 : 7455-7461, 2005

      2 김주현, "TMAH에 기반한 열분해 질량분석법의 생물 탐지체계 적용" 한국군사과학기술학회 14 (14): 289-298, 2011

      3 Ju Hyun Kim, "Real-time Classification of Unknown Bio-agents based on Pyrolysis Mass Spectormetry" 1025-1028, 2010

      4 Jacek P. Dworzanski, "Novel Biomarkers for Gram-type Differentiation of Bacteria by Pyrolysis-gas Chromatography-mass Spectrometry" 73 : 29-38, 2005

      5 Petra Miketova, "Microorganism Gram-type Differentiation of Whole Cells Based on Pyrolysis High-resolution Mass Spectrometry Data" 67 : 109-122, 2003

      6 Ming Xu, "Differentiation and Classification of User-specified Bacterial Groups by in situ Thermal Hydrolysis and Methylation of Whole Bacterial Cells with Tert-butyl Bromide Chemical Ionization Ion Trap Mass Spectrometry" 418 : 119-128, 2000

      7 Yuriy A. Knirel, "Cold Temperture-induced Modification to Composition and Structure of the Lipopolysaccharide of Yesinia Pestis" 340 : 1625-1630, 2005

      8 Holst, O., "Chemical Structure of the Core Region of Lipopolysaccharides in Bacterial Endotoxic Lipopolysaccharides" CRC Press 135-170, 1992

      9 Otto Holst, "Biochemistry and Cell Biology of Bacterial Endotoxin" 16 : 83-104, 1996

      1 Plamen A. Demirev, "Top-Down Proteomics for Rapid Identification of Intact Microorganisms" 77 : 7455-7461, 2005

      2 김주현, "TMAH에 기반한 열분해 질량분석법의 생물 탐지체계 적용" 한국군사과학기술학회 14 (14): 289-298, 2011

      3 Ju Hyun Kim, "Real-time Classification of Unknown Bio-agents based on Pyrolysis Mass Spectormetry" 1025-1028, 2010

      4 Jacek P. Dworzanski, "Novel Biomarkers for Gram-type Differentiation of Bacteria by Pyrolysis-gas Chromatography-mass Spectrometry" 73 : 29-38, 2005

      5 Petra Miketova, "Microorganism Gram-type Differentiation of Whole Cells Based on Pyrolysis High-resolution Mass Spectrometry Data" 67 : 109-122, 2003

      6 Ming Xu, "Differentiation and Classification of User-specified Bacterial Groups by in situ Thermal Hydrolysis and Methylation of Whole Bacterial Cells with Tert-butyl Bromide Chemical Ionization Ion Trap Mass Spectrometry" 418 : 119-128, 2000

      7 Yuriy A. Knirel, "Cold Temperture-induced Modification to Composition and Structure of the Lipopolysaccharide of Yesinia Pestis" 340 : 1625-1630, 2005

      8 Holst, O., "Chemical Structure of the Core Region of Lipopolysaccharides in Bacterial Endotoxic Lipopolysaccharides" CRC Press 135-170, 1992

      9 Otto Holst, "Biochemistry and Cell Biology of Bacterial Endotoxin" 16 : 83-104, 1996

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재후보2차) KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.1
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.09 0.09 0.244 0.04
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