1995
DOI: 10.1016/0924-2031(94)00090-4
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Quantitative Fourier transform infrared/attenuated total reflectance analysis of ketoprofen in some pharmaceutical formulations

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Cited by 18 publications
(7 citation statements)
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“…The minimisation is done by finding the values of the coefficients that satisfy the first derivate equations equal to zero, and the concentrations of the different components found in the sample spectrum are calculated (Van Overbeke et al, 1995). To improve the analysis accuracy, the concentrations of the different gases were divided into several subsets.…”
Section: The Mathematical Methods For the Quantificationmentioning
confidence: 99%
“…The minimisation is done by finding the values of the coefficients that satisfy the first derivate equations equal to zero, and the concentrations of the different components found in the sample spectrum are calculated (Van Overbeke et al, 1995). To improve the analysis accuracy, the concentrations of the different gases were divided into several subsets.…”
Section: The Mathematical Methods For the Quantificationmentioning
confidence: 99%
“…Van Overbeke et al used ATR FT-IR to quantify ketoprofen in pharmaceutical formulations such as capsules and injection ampoules, in combination with partial least-squares (PLS) analysis [ 35 ]. Similarly, Boyer et al proposed an analytical method without prior sample treatment for the determination of niflumic acid in a pharmaceutical gel by ATR FT-IR and PLS calibration with a root mean square error of prediction (RMSEP) equal to 0.2 for the validation set [ 36 ].…”
Section: Introductionmentioning
confidence: 99%
“…The attenuated total reflectance/Fourier transform infrared spectroscopy (ATR/FTIR), originally developed by Fahrenfort [9], was suggested as a sensible technique to analyse pharmaceutical formulations such as solids, semi-solids and liquids [10,11]. However, very limited applications have been reported for quantification of drugs [12][13][14][15][16] although ATR is a method, which simplifies sample handling, avoids the use of organic solvents and thus saves time and chemical reagents. The main drawback of spectral data is the overlapped information contained in the signal for chemical mixtures.…”
Section: Introductionmentioning
confidence: 99%