Nasrin Mohammadbeygi; Ali Haghighi Asl; Faramarz Hormozi
Abstract
Cinnamon is the bark the cinnamomi cassia that exhibits many medical properties such as anti-cancer effect and anti-diabetic effect. Moreover, because of its antioxidant activity; it can be used in food industries. Many studies have already reported biological and chemical properties of the cinnamon ...
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Cinnamon is the bark the cinnamomi cassia that exhibits many medical properties such as anti-cancer effect and anti-diabetic effect. Moreover, because of its antioxidant activity; it can be used in food industries. Many studies have already reported biological and chemical properties of the cinnamon extracted essential oil such as their antimicrobial, antifungal, antimosquito, free radical scavenging activity, antioxidant and antipathogenic properties. In this article, the result of treatments for extraction cinnamon oil with high quality or in the other words with higher percentage of cinnamon aldehyde in different thermal powers, different solvent ratios and different solvent pH have been done. For extraction of the essential oil, the water distillation in atmospheric pressure was used. All the essential oils were analyzed with GC and in the same conditions. According to the results the cinnamon oil is not sensitive to the heat power, the best solvent ratio to cinnamon bark is 25 to 1 and the best water pH is 4.11.
Ali Haghighi Asl; Akbar Shahsavand; Mohammad Reza Ghorbani
Abstract
In the present article an energy distribution function of heterogeneous solid was estimated. Energy distribution function is an important characterization for heterogeneous adsorbent. An overall adsorption quantity for a heterogeneous solid is usually expressed by a first kind of Fredholm equation, which ...
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In the present article an energy distribution function of heterogeneous solid was estimated. Energy distribution function is an important characterization for heterogeneous adsorbent. An overall adsorption quantity for a heterogeneous solid is usually expressed by a first kind of Fredholm equation, which contains unknown distribution function and local adsorption isotherm as a kernel. The calculation of this distribution function is an ill-posed problem. The current article shows that the difficulties arising from the ill-posed nature of an adsorption equation can be overcome with the linear regularization method and inverse theory. Performance of the regularization method for calculation multipeak energy distribution functions was examined in the present work. The results expressed with different charts and several random errors. The results showed that linear regularization method is very convenient for prediction of energy distribution function of heterogeneous solids. Furthermore, if a large amount of data at low pressure is available, the performance of this method would be very suitable. Therefore, in the most cases that some data have a large random error (about 50 %), regularization method can predict the energy distribution function satisfactorily.
