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Ethylbenzene and toluene undergo spectral interferences and interaction effects in all peaks evaluated, requiring a multivariate calibration for their determination.
The UV spectrum (245 290 nm) from the samples analysed in the detector was used for multivariate calibration for the determination of lidocaine solutions.
This paper presents an application of near-infrared NIR spectroscopy and multivariate calibration for compositional analysis of complex blends of polycarbonate (PC) and three copolymer components (C1, C2, and C3).
A system using energy-dispersive X-ray diffraction (EDXRD) has been developed and tested using multivariate calibration for the quantitative analysis of tablet-form mixtures of common pharmaceutical ingredients.
The use of multivariate calibration for estimating the concentration of dye mixtures by UV vis spectrophotometry, as illustrated by C.I. Disperse Blue 79, C.I. Disperse Blue 183, C.I. Disperse Red 82, C.I. Disperse Red 65, C.I. Disperse Yellow 211 and C.I. Disperse Orange 25, recorded at five concentration levels, is described.
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The partial least squares (PLS) modeling was used for multivariate calibration of the spectrophotometric data.
The partial least squares modeling was used for the multivariate calibration of the spectrophotometric data.
The PLS modeling was used for the multivariate calibration of the spectrophotometric data.
The partial least square (PLS) modeling based on singular value decomposition (SVD) was used for the multivariate calibration of the spectrophotometric data.
The specific application in this case was to determine the root cause for a bias found during the development of a multivariate calibration model for a Near Infrared (NIR) instrument.
Therefore, chemometric-assisted spectrophotometry as a simple, rapid and low cost method can be a good alternative one if it is combined with multivariate calibration methods for determination of a complex in pharmaceutical quality control laboratories.
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