2016
DOI: 10.21577/0103-5053.20160233
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The Use of Near Infrared Spectroscopy and Multivariate Calibration for Determining the Active Principle of Olanzapine in a Pharmaceutical Formulation

Abstract: The aim of this study was to quantitatively determine the olanzapine in a pharmaceutical formulation for assessing the potentiality of near infrared spectroscopy (NIR) combined with partial least squares (PLS) regression. The method was developed with samples based on a commercial formulation containing olanzapine and seven excipients. Laboratory and commercial samples (n = 27 and 18, respectively) were used by defining the calibration and prediction sets. The method was validated in the range from 1.0 to 12.5… Show more

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Cited by 3 publications
(4 citation statements)
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“…The calculated NIR spectra were log 1/R transformed in the first step, followed by the average spectra for each sample. Different pretreatments such as Smoothing Savitzky-Golay (SGS) (7 window points) followed by MSC (multiplicative scatter correction) and first-order derivative Savitzky-Golay (7 window points) were applied on the spectra to minimize undesirable features such as spectral offset, noise, baseline, and scattering [32].…”
Section: Nir Analysismentioning
confidence: 99%
“…The calculated NIR spectra were log 1/R transformed in the first step, followed by the average spectra for each sample. Different pretreatments such as Smoothing Savitzky-Golay (SGS) (7 window points) followed by MSC (multiplicative scatter correction) and first-order derivative Savitzky-Golay (7 window points) were applied on the spectra to minimize undesirable features such as spectral offset, noise, baseline, and scattering [32].…”
Section: Nir Analysismentioning
confidence: 99%
“…The background spectrum was recorded using a gold-coated slide. Spectral measurements were done in an acclimatized room under the controlled temperature at 22°C, and 60% relative air humidity (Amorim, Costa, Aragão, & Lima, 2018). Spectra were then converted in wavelength mode (780-2500 nm, see Equation 5), normalized, baseline corrected and smoothed using Savitzky-Golay derivative function (Savitzky & Golay, 1964).…”
Section: Nir Analysismentioning
confidence: 99%
“…Derivative processing eliminates baseline drift or small background interference, enhances spectral band features, and overcomes spectral over lap. [20] MSC effectively eliminates the scattering effect and enhances the spectral absorption information associated with component contents in a sample. [21,22] The predictive model was established by analyzing the correlation between the NIR spectra and the actual potato flour contents in the potato-wheat blended powder samples using Grams modeling software.…”
Section: Predictive Model Establishmentmentioning
confidence: 99%
“…The PLS method is the most widely used modeling method for NIR quantitative analysis. [20] The PLS method can be used to decompose the spectral matrix as well as the concentration matrix. [26,27] In this study, a prediction model of the potato flour content in potato-wheat blended samples was developed based on PLS combined with CV within the full spectrum (850-1100 nm).The cross calibration standard error (SECV) and the scaling factor (R 2 c) were the main parameters used to evaluate the Wavelength nm Absorbance Figure 1.…”
Section: Calibration Model Establishmentmentioning
confidence: 99%