System and method for real-time isotope identification
AssigneeThermo Finnigan LLC
InventorsScott R. KRONEWITTER, James L. STEPHENSON, JR., Ping F. YIP
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Abstract
An embodiment of a method for real time material identification is described that comprises determining an approximate mass value for an unknown material from spectral information derived from mass spectral analysis of the unknown material; retrieving profile models that correspond to a known material from a data structure using the approximate mass value; fitting a sample profile for the unknown material from the spectral information to the profile models to generate a fit score for each fit, wherein the lowest fit score corresponds to the best fit; calculating a mass value from the best fitting profile model and the sample profile.
Claims44
A method for calculating a mass value of a material, comprising:
- determining an approximate mass value for an unknown material from spectral information derived from mass spectral analysis of the unknown material;
- retrieving a plurality of profile models that correspond to a known material from a data structure using the approximate mass value;
- fitting a sample profile for the unknown material from the spectral information to the profile models to generate a fit score for each fit, wherein the lowest fit score corresponds to the best fit;
- calculating a mass value from the best fitting profile model and the sample profile.
A system for calculating a mass value of a material, comprising:
- a mass spectrometer adapted to generate spectral information from an unknown material;
- and
- a computer having executable code stored thereon, wherein the executable code performs a method comprising:
- determining an approximate mass value for the unknown material from the spectral information;
- retrieving a plurality of profile models that correspond to a known material from a data structure using the approximate mass value;
- fitting a sample profile for the unknown material from the spectral information to the profile models to generate a fit score for each fit, wherein the lowest fit score corresponds to the best fit;
- and
- calculating a mass value from the best fitting profile model and the sample profile.
Dependencies are inferred from the claim text.