論文

査読有り
2008年11月

High-Efficiency Liquid Chromatographic Separation Utilizing Long Monolithic Silica Capillary Columns

ANALYTICAL CHEMISTRY
  • Kosuke Miyamoto
  • Takeshi Hara
  • Hiroshi Kobayashi
  • Hironobu Morisaka
  • Daisuke Tokuda
  • Kanta Horie
  • Kodai Koduki
  • Satoshi Makino
  • Oscar Nunez
  • Chun Yang
  • Takefumi Kawabe
  • Tohru Ikegami
  • Hirotaka Takubo
  • Yasushi Ishihama
  • Nobuo Tanaka
  • 全て表示

80
22
開始ページ
8741
終了ページ
8750
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1021/ac801042c
出版者・発行元
AMER CHEMICAL SOC

Long monolithic silica-C-18 capillary columns of 100 mu m W. were prepared, and the efficiency was examined using reversed-phase HPLC under a pressure of up to 47 MPa. At linear velocities of 1-2 mm/s, 100000-500000 theoretical plates could be generated with a single column (90-440 cm in length) using an acetonitrile-water (80/20) mobile phase with a column dead time (t(0)) of 5-40 min. It was possible to prepare columns with a minimum plate height of 8.5 +/- 0.5 mu m and permeability of (1.45 +/- 0.09) X 10(-13) m(2). The chromatographic performance of a long octadecylsilylated monolithic silica capillary column was demonstrated by the high-efficiency separations of aromatic hydrocarbons, benzene derivatives, and a protein digest. The efficiency for a peptide was maintained for an injection of up to 0.5-2 ng. When three 100 mu m i.d. columns were connected to form a 1130-1240 cm column system, 1000000 theoretical plates were generated for aromatic hydrocarbons with retention factors of up to 2.4 with a t(0) of 150 min. The fact that very high efficiencies were obtained for the retained solutes suggests the practical utility of these long monolithic silica capillary columns.

リンク情報
DOI
https://doi.org/10.1021/ac801042c
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/18947204
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000260910900052&DestApp=WOS_CPL
ID情報
  • DOI : 10.1021/ac801042c
  • ISSN : 0003-2700
  • PubMed ID : 18947204
  • Web of Science ID : WOS:000260910900052

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