Background Correction in Multicomponent Spectroscopic Analysis Using Target Transformation Factor Analysis

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A principal components regression (PCR) is used to construct a calibration matrix for multicomponent spectroscopic analysis which corrects for background absorption due to variable concentrations of unknown species in a sample matrix. Mixed standards are used in the method, and spectra of the pure background components are not needed. The background correction capability of the method is demonstrated with the use of the UV spectra of aqueous standards prepared from cobalt (II) nitrate and nickel (II) nitrate. Known concentrations of chromium (III) nitrate were added to simulate a background which gave rise to relative concentration errors as high as 70% without the background correction capabilities of the method. With the background correction capabilities of the method, the relative concentration errors were reduced to less than one percent. Preliminary results are presented from an application of PCR to determine the concentration of two active ingredients in a pharmaceutical product in the presence of weakly absorbing tablet excipient materials.

Keywords: Background correction; Computer, applications; Principal components regression; Quantitative UV/VIS spectroscopy

Document Type: Research Article


Affiliations: 1: Department of Chemistry, East Carolina University, Greenville, North Carolina 27834 2: Department of Chemistry, East Carolina University, Greenville, North Carolina 27834; current address: Burroughs Wellcome Co., P.O. Box 1887, Greenville, NC 27834

Publication date: March 1, 1987

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