WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653

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  • Article
    Citation - WoS: 6
    Citation - Scopus: 8
    Simple Mathematical Resolution for Binary Mixture of Oxfendazole and Oxyclozanide in Bolus by Bivariate and Multivariate Calibrations Based on the Linear Regression Functions
    (Editura Acad Romane, 2008) Dinc, Erdal; Baleanu, Dumitru; Baleanu, Dumitru; Tokar, Ferdi; Matematik
    Two simple mathematical approaches were proposed for the simultaneous determination of oxfendazole (OXF) and oxyclozanide (OXY) in their synthetic binary mixtures and commercial veterinary formulation without requiring a priory separation step. One of these mathematical calibration techniques is called the bivariate calibration (BSC) based Oil four linear regression functions obtained at the wavelengths (230nm and 305 nm) with two single-component regression equations for each compound. The selection of the above mentioned wavelengths was performed by using the Kaiser technique. In the second mathematical approach, the multivariate spectral calibration (MSC) was constructed by a combined use of 42 linear regression functions consisting of 21 single linear regression equations for each compound at 21-wavelength set in between 230 and 330 run with intervals of Delta lambda=5nm. These two mathematical approaches were validated and applied to the quantitative analysis of the commercial veterinary formulation containing OXF and OXY. In this study successful results for the synthetic and real samples were reported.
  • Article
    Chemometric Calibration Based on the Wavelet Transform for the Quantitative Resolution of Two-Colorant Mixtures
    (Editura Acad Romane, 2005) Baleanu, Dumitru; Dinç, E; Baleanu, D; Taş, Kenan; Üstundag, O; Tas, K; Matematik
    In this study we proposed a wavelet transform (WT) followed by two chemometric techniques for the quantitative determination of sunset yellow (SUN) and tartrazine (TAR) in their market samples. Absorbances of the concentration set formed by TAR and SUN mixtures were measured between 335-575 nm at 480 points with 0.5 nm intervals and their absorbance values as absorbance data vectors were transferred into the wavelets domain. A continuous wavelet transform (CWT) was applied, to the absorbance data. The obtained CWT-coefficients (x-block) and concentration set (y-block) were used for the construction of the principal component regression (VCR) and partial least squares (PLS) calibrations. Good results were reported for the application of the combining wavelets and chemometric tools in the determination of colorants in samples.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 6
    Spectrophotometric Simultaneous Analysis of Two-Component Mixture by Bivariate and Multivariate Calibrations Using the Linear Regression Functions
    (Editura Acad Romane, 2008) Dinc, Erdal; Baleanu, Dumitru; Arslan, Fahrettin; Baleanu, Dumitru; Matematik
    Spectral bivariate calibration (SBC) and spectral multivariate calibration (SMC) approaches based on the linear regression models were applied to the simultaneous determination of chlorzoxazone (CHL) and paracetamol (PAR) in tablets. SBC model was constructed by using four linear regression functions at two-wavelength set (220 and 244 nm) selecting two optimal wavelengths among 25 wavelength points. SMC model for cacti compound was obtained by using of 50 linear regression functions at 25 wavelength points in the spectral range 220-293 nm without selecting any optimal wavelength points. SBC and SMC was validated by using an independent validation set containing CHL-PAR combinations in the linear concentration range. The recovery results were found between 100.6% and 102.6% for both proposed appropaches, therefore we Conclude that a successuful method application was reported. The results obtained in this study clearly indicate that the proposed SBC and SMC approaches are suitable to be used for the quality control and routine analysis of the commercial tablets containing CHL and PAR compounds.