Biotechnology and Bioprocess Engineering:BBE

  • 제10권3호
  • /
  • Pages.212-217
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  • 2005
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  • 1226-8372(pISSN)
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  • 1976-3816(eISSN)
한국생물공학회 (The Korean Society for Biotechnology and Bioengineering)
권호 표지

Enhancement of Analyte Ionization in Desoprtion/Ionization on Porous Silicon (DIOS)-Mass Spectrometry(MS)

  • Lee Chang-Soo (Department of Chemical Engineering, Chungnam National University) ;
  • Kim Eun-Mi (School of Chemical Engineering and Institute of Molecular Biology and Genetics, Seoul National University) ;
  • Lee Sang-Ho (School of Electrical Engineering and Computer Science, Seoul National University) ;
  • KIm Min-Soo (School of Electrical Engineering and Computer Science, Seoul National University) ;
  • Kim Yong-Kweon (School of Electrical Engineering and Computer Science, Seoul National University) ;
  • Kim Byug-Gee (School of Chemical Engineering and Institute of Molecular Biology and Genetics, Seoul National University)
  • 발행 : 2005.06.01
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초록

Desorption/ionization on silicon mass spectrometry (DIOS-MS) is a relatively new laser desorption/ionization technique for mass spectrometry without employing an organic matrix. This present study was carried to survey the experimental factors to improve the efficiency of DIOS-MS through electrochemical etching condition in structure and morphological properties of the porous silicon. The porous structure of silicon structure and its properties are crucial for the better performance of DIOS-MS and they can be controlled by the suitable selection of electrochemical conditions. The fabrication of porous silicon and ion signals on DIOS-MS were examined as a function of silicon orientation, etching time, etchant, current flux, irradiation, pore size, and pore depth. We have also examined the effect of pre- and post-etching conditions for their effect on DIOS-MS. Finally, we could optimize the electrochemical conditions for the efficient performance of DIOS-MS in the analysis of small molecule such as amino acid, drug and peptides without any unknown noise or fragmentation.

키워드

참고문헌

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