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Detalle de: Kinetic studies of nitrofurazone photodegradation by multivariate curve resolution applied to UV-spectral data

Title Kinetic studies of nitrofurazone photodegradation by multivariate curve resolution applied to UV-spectral data
Abstract

This work aims at describing the kinetic model of nitrofurazone photodegradation by a novel chemometric technique, hybrid hard-soft multivariate curve resolution (HS-MCR). The study was applied to UV-spectral data from the photolysis of nitrofurazone solutions at different concentrations and exposed under varying illuminance power. The HS-MCR method was able to elucidate the kinetics of the photodegradation process and to determine the rate constants, and estimating at the same time the pure spectra of the degradation products. Exposure to light of the drug gave a first rapid isomerization to the syn-form that in turn underwent degradation furnishing a mixture of yellow-red products. The photodegradation process could be explained with a kinetic model based on three consecutive first-order reactions (A>B, B>C and C>D). These results were confirmed by application of the MCR procedure to the analysis of the data obtained from HPLC-DAD analysis of the nitrofurazone samples at different reaction times. The kinetic model was observed to be dependent on experimental conditions. The samples at higher concentrations showed rate constants lower than the diluted samples, whereas an increase of the rate of all degradation processes was observed when the light power also increased. This work shows the power of the hybrid hard- and soft-multivariate curve resolution as a method to deeply study degradation processes of photolabile drugs.

Apa Reference De Luca, M., Mas, S., Ioele, G., Oliverio, F., Ragno, G. & Tauler, R. (2010). Kinetic studies of nitrofurazone photodegradation by multivariate curve resolution applied to UV-spectral data. International Journal of Pharmaceutics, 386(1-2), 99-107. 10.1016/j.ijpharm.2009.11.003
Doi 10.1016/j.ijpharm.2009.11.003
Publication Date 15 Feb 2010
Publication Type Article
Researcher Romá Tauler
Ontology Biosystems Modeling, Systems Biology, Multivariate statistics
Research Groups
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