Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Browsing by Author "De Luca, Michele"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Fractional wavelet transform-continous wavelet transform for the quantification of melatonin and its photodegradation product
    (Taylor & Francis inc, 2012) Dinc, Erdal; Baleanu, Dumitru; Ragno, Gaetano; Baleanu, Dumitru; De Luca, Michele; Ioele, Giuseppina; 6981
    In this study a new signal processing approach based on the simultaneous use of fractional and continuous wavelet transforms was suggested for the quantitative estimation of melatonin and its photodegradation products in their samples. The UV spectra of melatonin and its degradation product were recorded between 200.0 and 455.0 nm and processed by the fractional wavelet algorithm. The obtained fractional wavelet coefficients were treated by biorthogonal and symplets wavelet families in order to quantify melatonic and its photodegradation product, respectively. The calibration graphs for the related main compound and its degradation product were obtained by measuring the fractional-continuous wavelet amplitudes at 432.0 nm for melatonin and 435.0 nm for its degradation product. The validity and applicability of the double transforms based on fractional and continuous wavelets were confirmed by analyzing various synthetic mixtures of melatonin and its degradation product. Successful results were reported in the application of the improved fractional-continuous wavelet transform to the sample analysis.
  • Thumbnail Image
    Article
    Multivariate analysis of paracetamol, propiphenazone, caffeine and thiamine in quaternary mixtures by PCR, PLS and ANN calibrations applied on wavelet transform data
    (Elsevier, 2008) Dinc, Erdal; Baleanu, Dumitru; Baleanu, Dumitru; Ioele, Giuseppina; De Luca, Michele; Ragno, Gaetano; 6981
    The quantitative resolution of a quaternary pharmaceutical mixture consisting of paracetamol, propiphenazone, caffeine and thiamine was performed by the simultaneous use of fractional wavelet transform (FWT) with principal component regression (PCR), partial least squares (PLS) and artificial neural networks (ANN) methods. A calibration set consisting of 22 mixture solutions was prepared by means of an orthogonal experimental design and their absorption spectra were recorded in the spectral range of 210.0-312.3 nm and then transferred into the fractional wavelet domain and processed by FWT. The chemometric calibrations FWT-PCR, FWT-PLS and FWT-ANN were computed by using the relationship between the coefficients provided by FWT method and the concentration data from calibration set. An external validation was carried out by applying the developed methods to the analysis of synthetic mixtures of the related compounds, obtaining successful results. The models were finally used to assay the studied drugs in the commercial pharmaceutical formulations. (c) 2008 Elsevier B.V. All rights reserved.