Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 7
    Chemometric Methods for the Simultaneous Spectrophotometnc Determination of Telmisartan and Hydrochlorotiazide in the Commercial Pharmaceuticals
    (SYSCOM 18 S.R.L., 2009) Beliz, K.; Dinç, E.; Baleanu, D.
    Simultaneous spectrophotometric determination of telmisartan (TEL) and hydrochlorothiazide (HCT) in two different commercial pharmaceutical preparations were performed by using three different chemometric methods, namely principal component regression (PCR), partial least squares (PLS) and artificial neural network (ANN). The proposed chemometric methods do not require chemical seperation and spectral graphical procedures for the quantitative resolution of mixtures containing the titled compounds. In the preparation of chemometric calibrations, a concentration set of 45 synthetic mixtures containing TEL and HCT in the linear concentration range of 1.0-26.0 and 7.0-7 7.0 pglmL, respectively was simetrically prepared in methanol. The spectra of the above concentration set and samples were recorded in the spectral range of 200-350 nm. Concentration set and its corresponding absorbances in the selected spectral range corresponding to the 250350 nm wavelength range was used to obtain PCR, PLS and ANN calibrations. Recovery study, intra-day, inter-day and standard addition technique were considered as method validation. Three proposed chemometric approaches were sucessfully applied to the quantitative analysis of two different commercial pharmaceutical products.
  • Erratum
    Erratum: (Revista De Chimie 56, 9, (973))
    (SYSCOM 18 S.R.L., 2006) Dinç, E.; Bǎleanu, D.
  • Article
    Citation - Scopus: 11
    Wavelet Analysis for the Multicomponent Determination in a Binary Mixture of Caffeine and Propyphenazone in Tablets
    (Elsevier Masson SAS, 2004) Baleanu, D.; Aboul-Enein, H.Y.; Dinç, E.
    An approach based on both discrete and continuous wavelet analysis followed by a zero-crossing technique was developed. We applied this approach to obtain a high resolution in the binary mixture of caffeine (CA) and propyphenazone (PR) in the presence of their overlapping signals in the working length. The optimization of the wavelet families was accomplished for this mixture. The de-noise procedure was carried out by using 4-level Haar discrete wavelet transform and the resulted de-noised signal was investigated by continuous Mexican (MEX) and Haar (HA) transforms. Finally, a zero-crossing technique was applied on the transformed signal and the constructed calibration was tested by analyzing the composition of the different mixture containing CA and PR. All calculations have been performed within EXCEL and Matlab 6.5 software. The obtained results indicate that our procedure is flexible and applicable for the mixture analysis. © 2004 Elsevier SAS. All rights reserved.