In this study, new and feasible UV-visible spectrophotometric and multivariate spectrophotometric methods were described for the simultaneous determination of hydrochlorothiazide (HCTZ), hydralazine hydrochloride (H.HCl), and reserpine (RES) in combined pharmaceutical tablets. Methanol was used as a solvent for analysis and the whole UV region was scanned from 200-400 nm. The resolution was obt...

Preprocessing of near-infrared spectra to remove unwanted, i.e., non-related spectral variation and selection of informative wavelengths is considered to be a crucial step prior to the construction of a quantitative calibration model. The standard methodology when comparing various preprocessing techniques and selecting different wavelengths is to compare prediction statistics computed with an ...

direct orthogonal signal correction(dosc) and savitzky-golay filters (sgf) were applied as preprocessing methods on the original and first derivative absorbance data. principle component regression (pcr), partial least squares (pls) and iterative target transformation factor analysis (ittfa), were used in spectrophotometric simultaneous determination of heavy divalent metal ions, lead, zinc,mer...

Surface-enhanced Raman spectroscopy (SERS) is a promising tool in the analytical science because it provides good selectivity and sensitivity without the labeling process required by fluorescence detection. This technique consists of locating the target analyte on nanometer range of roughed Au-nanoparticles. The presence of the metal nanoparticles provides a tremendous enhancement to the result...

Direct orthogonal signal correction(DOSC) and Savitzky-Golay filters (SGF) were applied as preprocessing methods on the original and first derivative absorbance data. Principle component regression (PCR), partial least squares (PLS) and iterative target transformation factor analysis (ITTFA), were used in spectrophotometric simultaneous determination of heavy divalent metal ions, l...

Partial least squares (PLS) is one of the most common regression algorithms in chemistry, relating input–output samples (x i , y i) by a linear multivariate model. In this paper we analyze the PLS algorithm under a specific probabilistic model for the relation between x and y. Following Beer's law, we assume a linear mixture model in which each data sample (x, y) is a random realization from a ...