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Resolution of overlapping capillary electrophoresis peaks by using chemometric analysis: Quantification of the components in compound reserpine tablets
Author(s) -
Zhang Fang,
Li Hua
Publication year - 2005
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.200410079
Subject(s) - capillary electrophoresis , electropherogram , chromatography , resolution (logic) , analytical chemistry (journal) , chemistry , calibration , electrophoresis , mathematics , computer science , artificial intelligence , statistics
The application of multivariate curve resolution with alternating least squares (MCR‐ALS) methods to second‐order data from capillary electrophoresis with diode array detector (CE‐DAD) is reported. Initial qualitative solutions obtained by evolving factor analysis (EFA) and pure‐variable detection method can be further optimized by a simultaneous analysis of multiple electrophoresis run data with ALS regression. While unknown samples are analyzed simultaneously against the corresponding standards in different composition ratios, the exact amounts of common components in different CE runs can be determined by the traditional calibration curve method, and quantification can thus be achieved. The above methods are applied to the determination of the components in compound reserpine tablets in overlapping peaks from CE. The quantification results are compared with those of the first derivative of the electropherogram method and artificial neural network (ANN) method.