Time filter

Source Type

Miercurea-Ciuc, Romania

Agachi P.S.,Babes - Bolyai University | Sandor G.,Sapientia University Cluj Napoca
Studia Universitatis Babes-Bolyai Chemia | Year: 2011

In this paper, experiments were conducted to investigate mycotoxins homogenous photodegradation using various peroxide index (IP, caused by peroxides and hydroperoxides) in order to assess the efficiency of sunflower oil decontamination by ultravilolet light irradiation. Was studied the UV assisted peroxides activation, their contribution to decompose mycotoxins, to decrease their concentration. Was proposed a mathematical model of the process, model parameters were identified and adjusted with software environment. The photodegradation process efficiency increased differentiated using sunflower oil with higher peroxide indexes; there exist optimal values of peroxide index for each investigated mycotoxin. This way, the observed rate constants can be increased and the residual mycocotoxin concentration can be decreased. Using favorable peroxide index value in decontamination process provides an effective technology for the removal of mycotoxins from contaminated sunflower oil. The rapid degradation is related to the inherently contented peroxides transformation in reactive free radicals, this radicals reacting with mycotoxins. With the elaborated model is possible to predict the concentrations of residual mycotoxins in different operating conditions depending on initial peroxide index values.

Sandor G.,Babes - Bolyai University | Agachi P.S.,Sapientia University Cluj Napoca
Studia Universitatis Babes-Bolyai Chemia | Year: 2011

Bentonite was used as a photocatalyst in the degradation of mycotoxins in sunflower oil, under UV-illumination. The objective of this study was to investigate and evaluate the efficiency of bentonite adding to sunflower oil to decompose the solubilised B1, B2, G2 aflatoxins and T-2 toxin by UV light irradiating, as solution to increase vegetable oil quality. Identification of decontaminating process particularities consists in the formulation of mathematical model which describes the influence of process parameters on the decomposition of mycotoxins. In the present work, decontamination process was studied at laboratory scale using a plug-flow photoreactor, serial connected with a buffer vessel, at constant operating temperature and irradiating time. The kinetics of photocatalytic process was assumed to follow a pseudo-first-order rate law. The apparent photodegradation rate constant depend strongly on the present mycotoxin, the bentonite catalyst contribute to obtain much lower mycotoxin concentrations. The model predicted maximum values of apparent photodegradation constants were compared with the experimental data, the model was verified.

The paper provides an empirical analysis into the attitude of the Romanian population towards genetically modified (GM) food. Data are based on the 2010 statistical data-set of the Special Eurobarometer on biotechnology. Firstly, some comparative descriptive statistics are presented for Romania and the European Union pooled sample. In the second part of the paper, Romanians' attitudes are explored with the help of regression analysis. Results suggest that similarly to the European average, Romanians tend to see biotechnology in a less optimistic way compared to other new technologies, especially those which imply the use of renewable energy. Compared to their European counterparts, Romanian citizens tend to agree less with the items that GM food helps developing countries; GM food is good for health and they tend to agree more with the idea according to which GM food is unnatural. Romania is over the pooled sample in terms of fraction of respondents expressing 'don't know' opinions regarding those ten items which measure respondents' attitudes towards the GM food. The results of the regression analysis suggest that among the most important explanatory variables of the attitudes towards GM food in Romania we can find secularization, since compared to the most religious respondents, the least religious people are significantly more positive towards GM food. Contrary to the 'deficit model' in literature, in our case less knowledge does not undermine the positive attitudes towards GM food, since compared to the most informed citizens, those who are less informed have significantly more positive GM food oriented attitudes. Seemingly, the lack of information 'protects' respondents from those messages which might determine their negative view towards the technology in question.

Discover hidden collaborations