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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.
Hybrid hard–soft multivariate curve resolution, Photolysis, Light, Nitrofurazone, MESH: Nitrofurazone, Kinetic model, 540, Anti-Bacterial Agents, Kinetics, Drug Stability, Isomerism, Models, Chemical, [CHIM] Chemical Sciences, Photodegradation, Multivariate Analysis, MCR, [CHIM]Chemical Sciences, Technology, Pharmaceutical, Spectrophotometry, Ultraviolet, Least-Squares Analysis
Hybrid hard–soft multivariate curve resolution, Photolysis, Light, Nitrofurazone, MESH: Nitrofurazone, Kinetic model, 540, Anti-Bacterial Agents, Kinetics, Drug Stability, Isomerism, Models, Chemical, [CHIM] Chemical Sciences, Photodegradation, Multivariate Analysis, MCR, [CHIM]Chemical Sciences, Technology, Pharmaceutical, Spectrophotometry, Ultraviolet, Least-Squares Analysis
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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