Reliability of Arrhenius Equation in Predicting Vitamin A Stability in Multivitamin Tablets

Slater, J.G.; Stone, H.A.; Palermo, Blaze T.; Duvall, Ronald N.

doi:10.1002/jps.2600680117

Cited by 23 publications

(9 citation statements)

References 4 publications

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“…Real Stability DatasFor some literature data, [26][27][28][29] the values of t 90 obtained at RT and of t 90 extrapolated from the OLS Arrhenius line using k obtained by OLS, SM, and RM are compared in Table 7.…”

Section: Resultsmentioning

confidence: 99%

“…24,25 In this paper we show the applicability of these methods to stability studies from literature data. [26][27][28] The accuracy of the estimate of k by SM and RM was evaluated on the basis of goodness or improvement of the prediction of k at room temperature (RT) by Arrhenius extrapolation. Data from literature were obtained by measuring the coordinates of the points from the graphs, when values were not directly reported.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Median-Based Robust Regression Methods in Prediction of Drug Stability

Caviglioli

Drava

Cafaggi

et al. 1996

Journal of Pharmaceutical Sciences

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The classical isothermal approach for the prediction of drug stability exploits least squares regression. In this paper the use of some robust regression techniques to estimate the rate constants at different temperatures has been evaluated. These techniques are able to give accurate estimates when data are contaminated by the presence of outliers. The successful application of two robust methods, single median and repeated median, to real stability data from the literature is shown. Moreover, the authors have modified the original methods in order to apply them to data sets with replicates, typical of stability studies. The performances of the modified techniques have been investigated with simulated data sets containing outliers and with real data. They appear suitable for preliminary stability studies, especially on solid dosage forms. For a quick implementation of these methods, macroprograms written for a widely used spreadsheet are reported.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Median-Based Robust Regression Methods in Prediction of Drug Stability

Caviglioli

Drava

Cafaggi

et al. 1996

Journal of Pharmaceutical Sciences

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“…The kinetics of thermal degradation was determined using the Arrhenius method, even considering the Spirulina powder a complex material. Others authors used this model in pharmaceutical formulations (considered complex) (Slater et al, 1979;Siddiqui et al, 2011;Shabbeer and Aly, 2014). As for thermal stability, the kinetics degradations in all temperatures were of the zero order, for which the degradation rate is independent of the concentration of the reactants; i.e., the reaction rate of degradation is constant.…”

Section: Discussionmentioning

confidence: 99%

Thermal and photo-stability of the antioxidant potential of Spirulina platensis powder

et al. 2016

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This work aimed to evaluate the thermal and photo stability of the antioxidant potential (AP) of the Spirulina platensis biomass. Thermal stability was established at 25ºC, 40ºC and 50ºC for 60 days, in the dark, protected from light. Photo stability was evaluated using UV (15 W, λ = 265 nm) and fluorescent (20 W, 0.16 A, power factor FP > 0.5, 50/60 Hz, 60 lm/w, 1200 lm) light for 90 days in capsules, glass and Petri dishes, at room temperature. The AP of the biomass in these conditions was determined at intervals (every 7 and 30 days in the studies of thermal and photo stability, respectively) using the induction of the oxidation of a lipid system by heat and aeration. In this lipid system, the biomass submitted to degradation was used as an antioxidant. The kinetics of the reaction was determined by the Arrhenius method. Thermal degradation was found to follow zero order kinetics, whereas photo degradation followed first order kinetics. The AP decreased 50% after 50 days at 25°C. At 40°C and 50°C, the AP decreased more than 50% after 35 and 21 days of exposition, respectively. The decrease of the AP of Spirulina was more sensible to UV and fluorescence light. After 30 days of exposition, the AP decreased more than 50% in all storage conditions tested. The antioxidant potential of Spirulina platensis is easily degraded when the biomass is exposed to heat and light, indicating the need for care to be taken in its storage.Keywords: Arrhenius, stability, kinetic, degradation, cyanobacteria, microalgal biomass. Estabilidade térmica e fotoestabilidade do potencial antioxidante deSpirulina platensis em pó ResumoEste trabalho objetivou avaliar a estabilidade térmica e a foto-estabilidade do potencial antioxidante (PA) da biomassa da Spirulina platensis. A estabilidade térmica foi avaliada a 25ºC, 40ºC e 50ºC por 60 dias. A foto-estabilidade foi avaliada usando luz UV (15 W, λ = 265 nm) e fluorescente (20 W, 0.16 A, fator de potência FP > 0.5, 50/60 Hz, 60 lm/w, 1200 lm) por 90 dias em cápsulas, vidro e placas de Petri. O PA da biomassa nessas condições foi determinado em intervalos de tempo (a cada 7 e 30 dias nos estudos de estabilidade térmica e foto-estabilidade, respectivamente), usando a indução da oxidação de um sistema lipídico por calor e aeração. Neste sistema lipídico, a biomassa submetida à degradação foi usada como antioxidante. A cinética da reação foi determinada pelo método de Arrhenius. A degradação térmica seguiu uma cinética de zero ordem, enquanto que a fotodegradação seguiu uma cinética de primeira ordem. O PA diminuiu 50% depois de 50 dias a 25°C. A 40°C e 50°C, o PA diminuiu mais de 50% depois de 35 e 21 dias de exposição, respectivamente. A diminuição do PA da Spirulina foi mais sensível à luz UV e fluorescente. Depois de 30 dias de exposição, o PA diminuiu mais de 50% em todas as condições de armazenamento testadas. O potencial antioxidante da Spirulina platensis é facilmente diminuído quando a biomassa é exposta ao calor e a luz, indicando a necessidade de cuidados durante seu armazen...

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“…However, guidelines have been established for the determinations and predictions of shelf life. Although it can be demonstrated that the technique has some limitations 40 work has shown that, if all the experimental controls are maintained, useful predictions of a product's stability can be obtained. As the degradation of most of the vitamins follows 'fi rst order' or 'zero order' kinetics, it is possible for shelf life predictions to be made using a classical Arrhenius model on the assumptions that the model holds for all the reactions being studied; that the same reaction mechanism occurs throughout the temperature range of the study; that the energy of activation is between 10 and 20 kcal mol −1 ; and that the effects of moisture at ambient temperature are equivalent to maintaining the same relative humidity at higher temperatures.…”

Section: Food Product Shelf Life and Its Determinationmentioning

confidence: 99%

Stability of vitamins during food processing and storage

Ottaway¹

2010

Chemical Deterioration and Physical Instability of Food and Beverages

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Reliability of Arrhenius Equation in Predicting Vitamin A Stability in Multivitamin Tablets

Cited by 23 publications

References 4 publications

Median-Based Robust Regression Methods in Prediction of Drug Stability

Median-Based Robust Regression Methods in Prediction of Drug Stability

Thermal and photo-stability of the antioxidant potential of Spirulina platensis powder

Stability of vitamins during food processing and storage

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