Special Feature

User Panel

My Panel

My Panel

Bookmark Science Articles

Recent News
Bookmark / Share This Science Site

Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods.

Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

  • Abstract Text of This Paper
  • Journal Published
  • MeSH Keywords of This Abstract
  • Chemicals and Substances Used in this Paper
  • Grants and Granting Agency of this Research
  • Database Accession Numbers Used in this Paper
  • Related Papers
  • Related Research Tags
  • Rate this Research Paper
  • Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Abstract Text:

    toshihiko hanaiToshihiko Hanai,hiroshi hommaHiroshi Homma,toshihiko hanaiToshihiko Hanai,hiroshi hommaHiroshi Homma,toshihiko hanaiToshihiko Hanai,hiroshi hommaHiroshi Homma,

    Molecular interaction energy (MI) values calculated by molecular mechanics (MM2) using a model graphitic carbon phase were used for studying the selectivity of different types of graphitic carbon columns. The MI values well correlated with logk values measured on a graphitic carbon synthesized from 100% organic materials (r = 0.961, n = 13) but not with logk values measured on a graphitic carbon synthesized using silica matrix (r = 0.558, n = 17). The latter logk values correlated well with the hydrogen bonding energy values calculated using a model silica phase (r = 0.856, n = 17). The reason for the poor correlation of the logk values measured on the latter graphitic carbon is that the silica matrix might not be completely eliminated in the production process.

    Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Publishing Authors By Initials

    t hanaiT Hanai,h hommaH Homma,t hanaiT Hanai,h hommaH Homma,t hanaiT Hanai,h hommaH Homma,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Analytical and bioanalytical chemistry

    VOLUME: 390

    Page Numbers: 369-75

    Journal Abbreviation:

    ISSN: 1618-2650

    DAY: 24

    MONTH: 10

    YEAR: 2007

    Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101134327

    Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Keywords Mesh Terms:

    KEYWORDS:

    MESH TERMS:

    Chemical & Substance for Abstract: Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods. Information

    Substance Name:

    Registry Number:

    Grant and Affiliation Information for Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods.

    AFFILIATION: Health Research Foundation, Institut Pasteur 5F, Sakyo-ku, Kyoto, 606-8225, Japan, thanai@attglobal.net.

    Country: Germany

    Germany Research PublicationGermany Research Publication

    AGENCY:

    GRANT:

    ACRONYM:

    MEDLINETA: Anal Bioanal Chem

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

    Quantitative in silico analysis of the selectivity of graphitic carbon synthesized by different methods Related Publications

     

    Molecular Station USER Menu

    Welcome to Molecular Station!

    You have to register before you can post on our forums or use our advanced features. Register Now! Its Free and Fast!

    Already registered? Login now below.

    User Name:

    Password:

    Already registered and Forgot your password? Click below to recover it.

    Recover Lost Password

    Join now - it's fast and free!

    Molecular Station is THE largest network of researchers, scientists and science lovers anywhere!

    Research Terms of Usage and Disclaimer
    Home
    Features

    Protocols

    DNA Forum

    Science Forum

    DNA Forum
    Biology Forum

    Science News


    [CaRP] XML error: Invalid document end at line 2

    For more click here:Science News