2013
DOI: 10.1016/j.microc.2012.03.008
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Development and validation of a chemometric method for direct determination of hydrochlorothiazide in pharmaceutical samples by diffuse reflectance near infrared spectroscopy

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Cited by 54 publications
(28 citation statements)
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“…The accuracy of the models was estimated mainly by RMSEP (root mean square of prediction) [24,25]. PLSR model showed better accuracy than the univariate model with RMSEP values of 2.35% (v/v), indicating that the method provided results that agree with those in the reference values (Table 2).…”
Section: Regression Modelsmentioning
confidence: 95%
“…The accuracy of the models was estimated mainly by RMSEP (root mean square of prediction) [24,25]. PLSR model showed better accuracy than the univariate model with RMSEP values of 2.35% (v/v), indicating that the method provided results that agree with those in the reference values (Table 2).…”
Section: Regression Modelsmentioning
confidence: 95%
“…The results obtained from the analysis of commercial tablets were compared statistically with those obtained from the USP 26 high-performance liquid chromatographic (HPLC) method. 3.3 Spectrophotometric method 3.3.1 Diffuse reflectance near infrared spectroscopy Marcus H. Ferreira et al [17] developed and validated a new multivariate diffuse reflectance near infrared method for direct determination of Hydrochlorothiazide in powder pharmaceutical samples. The best partial least squares (PLS) model was obtained in the spectral region from 1640 to 1780 nm, with mean centered data pre-processed by first derivative and Savitzky-Golay smoothing followed by vector normalization.…”
Section: Electrochemical Method/voltammetric Methodsmentioning
confidence: 99%
“…By applying a three-factor (API, saccharose, and other excipients) experimental design, the concentration of factors was varied orthogonally [27]. Ferreira et al used a calibration set prepared according to a DoE with three factors: hydrochlorothyazide, cellulose, and other excipients to train a NIR method for the quantification of the active ingredient in pharmaceutical samples [28].…”
Section: Design Of Experiments Strategymentioning
confidence: 99%