| 摘要 |
A system performs two types of spectral calibration. For the first type, the system collects data from monitoring an analytical separation of several spectrally-distinguishable molecular species and creates a data matrix from the collected data. Each element in the data matrix represents a signal intensity at a particular time and over a particular range of light wavelengths. The system then identifies regions in the data matrix that have spectral response characteristics of at least one of the molecular species, determines a set of pure component spectral responses from the identified regions, groups similar pure component spectral responses into clusters, determines a representative spectral response for each cluster, and correlates the representative spectral response for each cluster with one of the molecular species. For the second type of calibration, the system collects data from monitoring an analytical separation of multiple spectrally-distinguishable molecular species and creates a data matrix from the collected data. Each element in the data matrix represents a signal intensity at a particular time and over a particular range of light wavelengths. The system then identifies binary mixture regions within the data matrix, determines pairs of the binary mixture regions that contain one common spectral response, identifies a component that represents the one common spectral response using data in the determined pairs, groups the one common spectral response from each of the determined pairs into clusters, determines a representative spectral response for each cluster, and correlates the representative spectral response for each cluster with one of the molecular species.
|
