Influence of the matrix on analyte fragmentation in atmospheric pressure MALDI. Schulz, E., Karas, M., Rosu, F., & Gabelica, V. J Am Soc Mass Spectrom, 17(7):1005–1013, 2006.
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In this paper, we report the measurement of the degree of analyte fragmentation in AP-MALDI as a function of the matrix and of the laser fluence. The analytes include p-OCH3-benzylpyridinium, three peptides containing the sequence EEPP (which cleave very efficiently at the E-P site), and three deoxynucleosides (dA, dG, and dC), which lose the neutral sugar to give the protonated base. We found that the matrix hardness/softness was consistent when comparing the analytes, with a consensus ranking from hardest to softest: CHCA > DHB > SA approximately THAP > ATT > HPA. However, the exact ranking can be fluence-dependent, for example between ATT and HPA. Our goal here was to provide the scientific community with a detailed dataset that can be used to compare with theoretical predictions. We tried to correlate the consensus ranking with different matrix properties: sublimation or decomposition temperature (determined using thermogravimetry), analyte initial velocity, and matrix proton affinity. The best correlation was found with the matrix proton affinity.
@Article{schulz06influence,
  author      = {Schulz, E. and Karas, M. and Rosu, F. and Gabelica, V.},
  title       = {Influence of the matrix on analyte fragmentation in atmospheric pressure MALDI.},
  journal     = {J Am Soc Mass Spectrom},
  year        = {2006},
  volume      = {17},
  number      = {7},
  pages       = {1005--1013},
  abstract    = {In this paper, we report the measurement of the degree of analyte fragmentation in AP-MALDI as a function of the matrix and of the laser fluence. The analytes include p-OCH3-benzylpyridinium, three peptides containing the sequence EEPP (which cleave very efficiently at the E-P site), and three deoxynucleosides (dA, dG, and dC), which lose the neutral sugar to give the protonated base. We found that the matrix hardness/softness was consistent when comparing the analytes, with a consensus ranking from hardest to softest: CHCA > DHB > SA approximately THAP > ATT > HPA. However, the exact ranking can be fluence-dependent, for example between ATT and HPA. Our goal here was to provide the scientific community with a detailed dataset that can be used to compare with theoretical predictions. We tried to correlate the consensus ranking with different matrix properties: sublimation or decomposition temperature (determined using thermogravimetry), analyte initial velocity, and matrix proton affinity. The best correlation was found with the matrix proton affinity.},
  doi         = {10.1016/j.jasms.2006.03.009},
  keywords    = {Atmospheric Pressure; Biocompatible Materials, chemistry; Nucleosides, chemistry; Reproducibility of Results; Sensitivity and Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, methods},
  owner       = {kerstin},
  pii         = {S1044-0305(06)00270-4},
  pmid        = {16713286},
  timestamp   = {2015.08.31},
}

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