Soodabeh Einafshar; Parvin Sharayei
Abstract
Saffron is a unique product of Iran and Saffron corm is one of the saffron producing ingredients that is produced annually in high volume in the country. It is shown that saffron corm is a low- cost material, contains some bioactive compounds that are extractable. The extraction method is effected on ...
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Saffron is a unique product of Iran and Saffron corm is one of the saffron producing ingredients that is produced annually in high volume in the country. It is shown that saffron corm is a low- cost material, contains some bioactive compounds that are extractable. The extraction method is effected on the kind and amount of bioactive material extracted from saffron corm. Therefore, this research was carried out to produce high value added materials from waste saffron onion. First, the saffron onion was prepared, dried and completely grinding. Extracting was performed using solvent (80% methanol, 80% ethanol and water) and ultrasound (100% intensity, 0, 20 and 40 minutes at room temperature). The extracts were dried at rotary evaporation. In each case, the extraction efficiency, determination of minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC), phenolic compounds, iron regeneration strength III, and free radical receptivity were determined. In order to investigate the independent effect (type of solvent, ultrasound intensity) and interaction (solvent type and ultrasound intensity) on bioactive compounds of saffron onion extract, a factorial arrangement of 2 variables with completely randomized design was used in three replications. The mean comparison was done by Duncan method. The results showed that Ethanol solvent extracted 85.84 mg/ml of phenolic compounds with the highest reducing power of FeIII (594.7 μmol/ml) and radical receptivity (59.42%), and the ultrasound process at 100% for 40 minutes extracted the highest amount of phenolic compounds (82.23 mg/ml).
Processing, food industry and biochemistry
Elham Azarpazhooh; Ahmad Ehtiati; Parvin Sharayei
Abstract
Saffron, as the most expensive agricultural and pharmaceutical product of the world, has a special value among plants. Since the Saffron harvesting period is short, its storage for later processing requires understanding the most effective factors affecting the quality of saffron and its deterioration. ...
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Saffron, as the most expensive agricultural and pharmaceutical product of the world, has a special value among plants. Since the Saffron harvesting period is short, its storage for later processing requires understanding the most effective factors affecting the quality of saffron and its deterioration. Therefore the effects of reposition thickness, storage temperature and storage time of saffron flowers on its chemical parameters including crocin, safranal and picrocrocin values of saffron stigma and its microbial quality indicators including total count, coliform and mold contamination were modelled. This was done using multi-layer perceptron artificial neural network (ANN) and its structure and the learning parameters were optimized using genetic algorithm technique. The optimized MLP neural networkwas capable to predict the saffron quality characteristics during storage with coefficient of determinations higher than %94 and low error values (RMSE lower than 3.5 for all responses). The ANN model showed that reposition thickness has the lowest impact on chemical and microbial parameters deterioration while increasing storage temperature and time drastically increased loss of quality although the effect of storage time is lower than that of storage temperature. Overall, keeping fresh saffron flowers at a low temperature near zero degrees centigrade is necessary for maximum retention of valuable chemical compounds and minimum microbial contamination development during saffron flower storage for further processing.
