2013
DOI: 10.1080/22297928.2013.838455
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Stability Indicating Spectrophotometric and Chemometric Methods for Determination of Buflomedil in Presence of its Acid Induced Degradation Products

Abstract: Simple, accurate, sensitive, selective and validated UV spectrophotometric univariate and multivariate methods were developed for determination of Buflomedil (BFM) in presence of BFM degradation products (BFM Deg). The univariate methods includes mean centering of ratio spectra (MCR), ratio difference spectrophotometric method (RDSM) and H-point standard addition method (HPSAM); the first one used the amplitude at 235.7 nm, the second utilized the difference in amplitudes at 250 nm and 282 nm; while, the third… Show more

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Cited by 3 publications
(2 citation statements)
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References 23 publications
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“…Among the different regression method existed for multivariate calibration, the factor analysis based methods including partial least squares (PLS regression and principal component regression (PCR) have received considerable attention in the chemometrics literature [30][31][32][33][34]. Due to the overlapped spectra of the drugs, (Figure 2), the previous chemometric methods have been used to analyze this mixture.…”
Section: Multivariate Chemometric Methodsmentioning
confidence: 99%
“…Among the different regression method existed for multivariate calibration, the factor analysis based methods including partial least squares (PLS regression and principal component regression (PCR) have received considerable attention in the chemometrics literature [30][31][32][33][34]. Due to the overlapped spectra of the drugs, (Figure 2), the previous chemometric methods have been used to analyze this mixture.…”
Section: Multivariate Chemometric Methodsmentioning
confidence: 99%
“…Chemometric methods based on multivariate calibration such as classical least squares (CLS), partial least squares (PLS) and principal component regression (PrCR), based on computer assisted instrumentation have been increasingly applied for the analysis of multi-component mixtures [14][15][16]. Classical least squares (CLS) requires that the concentrations of all spectrally active constituents to be known and included in the calibration samples before a stable prediction model can be developed [17].…”
Section: Introductionmentioning
confidence: 99%