ISSN:
1432-1130
Source:
Springer Online Journal Archives 1860-2000
Topics:
Chemistry and Pharmacology
Notes:
Abstract The performance of two multivariate calibration methods, multiple linear regression (MULTI3) and partial least-square regression (PLS-2), for the resolution of the ternary mixtures of acetylsalicylic acid-caffeine-codeine and acetaminophen-caffeine-codeine is compared. The methodologies were checked by applying them to the analysis of two sets of laboratory-prepared mixtures over the concentration ranges 13.0–19.0, 1.00–3.00 and 0.20–1.00 μg · ml–1 for acetylsalicylic acid-caffeine-codeine and 12.0–22.0, 0.40–2.00 and 0.20–1.00 μg · ml–1 for acetamimophen-caffeine-codeine, respectively. While the results provided by MULTI3 were unacceptable in the majority of the cases, those obtained by PLS-2 were quite good with considerably diminished errors, as a result of calibration and/or checking with MULTI3, taking no account of potential interactions between analytes. It was shown that it is possible by using PLS-2 to resolve complex mixtures of analytes in a highly disparate proportion, even when they have overlapping signals. The proposed method was successfully demonstrated for pharmaceutical tablets.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s002160050187
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