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    Development and validation of a bioanalytical LC-UV method with solid-phase extraction for determination of valproic acid in saliva.
    (Macedonian Academy of Sciences and Arts/Walter de Gruyter GmbH, 2012-06)
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    Haxhiu, Arlinda
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    A bioanalytical HPLC method with UV detection for the determination of the antiepileptic drug valproic acid in human saliva has been developed and validated. Saliva represents an alternative matrix for therapeutic monitoring of antiepileptic drugs due to the increasing interest in free drug concentration. The proposed method involved solid-phase extraction for sample preparation and yielded very good mean recoveries of 99.4 % and 97.9 % for valproic acid and IS, respectively. The calibration function for valproic acid was linear over the concentration range of 1.0-50.0 μg mL⁻¹ (R² = 0.9989). Within-run and between-run precision and accuracy were studied at four concentrations and RSDs were less than 7.3 and 2.2 %, while accuracy values were higher than 96.8 and 97.5 %, respectively. The described method provides sensitivity, linearity, precision, accuracy and is suitable for analyses of valproic acid in saliva samples.
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    Semiempirical Atom-centered Density Matrix Propagation Approach to Temperature-dependent Vibrational Spectroscopy of Irinotecan
    (Scalable Computing: Practice and Experience, 2018-05-10)
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    <jats:p>In the present study, a molecular dynamics study of irinotecan molecule with the atom-centered density matrix propagation scheme was carried out at AM1 semiempirical level of theory, at series of different temperatures, ranging from 5 K to 300 K. Molecular dynamics simulations were performed within the NVE ensemble, initially injecting (and redistributing among the nuclei) various amounts of nuclear kinetic energies to achieve the desired target temperatures. Subsequently to initial equilibration phase of 2 ps, productive simulations were carried out for 8 ps. The accuracy of simulations and the closeness of the generated trajectory to those at the Born-Oppenheimer surface were carefully followed and analyzed. To compute the temperature-dependent rovibrational density of states spectra, the velocity-velocity autocorrelation functions were computed and Fourier-transformed. Fourier-transformed dipole moment autocorrelation functions were, on the other hand, used to calculate the temperature-dependent infrared absorption cross section spectra. The finite-temperature spectra were compared to those computed by a static approach, i.e. by diagonalization of mass-weighted Hessian matrices at the minima located on the potential energy surfaces. Thermally-induced spectral changes were analyzed and discussed. The advantages of finite-temperature statistical physics simulations based on semiempirical Hamiltonian over the static semiempirical ones in the case of complex, physiologically active molecular systems relevant to intermolecular interactions between drugs and drug carriers were pointed out and discussed.</jats:p>
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    New role of post-market surveillance in medical device industry
    (2018-10)
    Ivanovska E.,
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    Lazova J.,
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    Popstefanova N.,
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    Davcheva Jovanoska M.,
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    Green RP-HPLC method for impurity profile of amlodipine in tablets
    (Centre for Evaluation in Education and Science (CEON/CEES), 2024)
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    Godzo, Hrisanta
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    Atanasovska, Biljana
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    Zafirova-Gjorgievska, Marija
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    <jats:p>Increased awareness of nature preservation has encouraged the introduction of the green analytical chemistry (GAC) practice concepts concerning several important aspects, including sustainable development, environmental impact, and minimum waste. The aim of this research was to contribute to the implementation of this approach for the pharmaceutical industry while retaining the crucial aspects and strict requirements of quality control of medicines. Therefore, an ethanolbased, green and robust high-performance liquid chromatography (HPLC) method for the determination of related substances of amlodipine (AML) in film-coated tablets was developed and optimized using the Design of Experiments (DoE). The chromatographic separation was performed on an RP-select B column (250 x 4.0 mm, 5 mm), using a mixture of 0.04 M sodium dihydrogen phosphate monohydrate (pH 4.0) and ethanol (60:40 % v/v) as a mobile phase. The optimized conditions provided the separation of two specified impurities (impurity D and impurity F). The selectivity of the method was confirmed using forced degradation studies. The Analytical Eco-scale approach and AGREE metrics confirmed that the method conforms to the GAC principles. The validated method was successfully applied for the determination of related substances in three samples from the market, demonstrating the applicability of the method in routine analysis.</jats:p>
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    Systematic approach for proper control chart design for Karl-Fischer titrator
    (Macedonian Pharmaceutical Association, 2022-12-31)
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    Arsova, Frosina
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    PLS based quantitative determination of insulin aspart in solution using Raman spectroscopy
    (Centre for Evaluation in Education and Science (CEON/CEES), 2024)
    Godzo, Hrisanta
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    <jats:p>The complex structure of medicines containing polypeptide active substances requires the implementation of challenging analytical approaches, based on physicochemical methods, and, where necessary, biological assays for quality control, as well as for the detection of substandard and falsified products. Vibrational spectroscopic techniques, including Raman spectroscopy, are fast, powerful, and non-destructive techniques which, when combined with multivariate chemometric modelling, can provide specific identification, quantitative determination, and insight into the secondary structure of proteins and peptides. The aim of this study was to investigate the possibility of using Raman spectroscopy as a screening method for quantification of pharmaceutical products containing active substances with polypeptide structures. For that purpose, a model based on partial least square (PLS) analysis for quantitative determination of insulin aspart in solution was developed using Raman spectroscopy. The proposed model enables the establishment of a rapid approach for screening of the quality of formulations containing active substances with polypeptide structure, providing the selection of suspected samples that should be further analysed using routine techniques, which are time-consuming and costly.</jats:p>
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