Self-modeling mixture analysis of categorized pyrolysis mass spectral data with the SIMPLISMA approach

摘要: Abstract Windig, W., Heckler, C.E., Agblevor, F.A., and Evans, R.J., 1992. Self-modeling mixture analysis of categorized pyrolysis mass spectral data with the SIMPLISMA approach. Chemometrics Intelligent Laboratory Systems , 14: 195–207. A new self-modeling approach to resolution mixtures has recently been described. Since interactive method is not based on principal component since it expresses all intermediate steps in form plots, relatively easy use. The a pure variable called (SIMPLe-to-use Interactive Mixture Analysis). This paper demonstrates use obtained from spectrometry biomass feedstocks. Mass are more difficult evaluate noise discrete spectra so detect as continuous spectra. Furthermore, extension towards category information (in this case replicate samples) algorithm