Spectrometric analysis
摘要
說明書
The sample may be classified into one or more classes of sample having less than a threshold distance or at least a threshold classification score or probability and/or a lowest distance or highest classification score or probability.
The distance, classification score or probability may be provided using a classification model and/or library that was developed using the one or more background reference spectra that were used to derive the one or more background noise profiles. The one or more background reference spectra may have been subjected to a background subtraction process using the one or more background noise profiles so as to provide one or more background subtracted reference spectra prior to building the classification model and/or library using the one or more background subtracted reference spectra.
Each background noise profile may be derived using a technique as described in US 2005/0230611. However, as will be appreciated, in US 2005/0230611 a background noise profile is not derived from a spectrum for a sample and stored for use with a spectrum for a different sample as in embodiments.
Regardless of whether the one or more background noise profiles are derived from the one or more sample spectra themselves or from one or more background reference sample spectra, the one or more background noise profiles may each be derived from one or more sample spectra as follows.
Each background noise profile may be derived by translating a window over the one or more sample spectra or by dividing each of the one or more sample spectra into plural, e.g., overlapping, windows.
The window may or the windows may each correspond to a particular range of times or time-based values, such as masses, mass to charge ratios and/or ion mobilities.
