Method of using data binning in the analysis of...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Chemical analysis

Reexamination Certificate

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C702S182000, C250S281000

Reexamination Certificate

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07072773

ABSTRACT:
Disclosed herein is a method of analyzing three-dimensional data obtained from a chromatography/spectrometry process, in particular an LC/MS process using a two-dimensional multi-variant statistical analysis. The LC portion permits separation of analytes within a sample. The information obtained from such a procedure typically depends on retention time (Rt). As the analytes progress through the system, they enter the MS region of the LC/MS system. There they are ionized and a mass detector then detects these ionized species. The information procured from this procedure is generally reported as intensity for a corresponding m/z value. Therefore, an LC/MS system provides at least three pieces of information. Principle component analysis (PCA) is a robust method of multi-variant analysis of this type of data between different samples. However, typically, PCA analysis is performed using only two-dimensional data. Therefore, it is expected that at least one parameter of data obtained from a LC/MS operation is lost, however, the methods disclosed herein preserves all three mathematical dimensions.

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Examination Report for UK Patent Application No. 0426189.7, dated Apr. 6, 2005.
“BINNER”, Author (Mario Valle), Aug. 2001, Description “Binner project”, 5 pages.

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