Iranian Food Science and Technology Research Journal

Abstract Textural, thermal and microstructural properties of single component gels and binary composite gels (BCG) of high amylose corn starch (Hylon VII) mixed with wheat flour at different wheat flour/Hylon VII (WF/H) ratios (95:5, 90:10 and 85:15) and temperatures (100, 121 and 135ºC) were investigated. The visual appearance showed that as Hylon VII was increased in BCG, the stronger gel was achieved. Textural results confirmed by increasing Hylon VII, the firmness was increased, but the springiness, cohesiveness and adhesiveness were reduced. Moreover, the BCG at high temperatures showed the higher level of Hylon VII, the higher water solubility index would be achieved. The gelatinization enthalpy (ΔH) and peak gelatinization temperature (Tp) increased by improving the content of amylose in BCG. Hylon VII showed the lowest peak viscosity and the BCG gel containing high amount of Hylon VII indicated a reduction in the paste viscosity. The differences in the microstructure of WF and HylonVII gels were also reflected the pasting properties of the gels. Consequently, BCG of WF/H develops the stronger gel which can withstand at high thermal processing such as retort to improve the shelf-life of the final product.

Abstract The central composite rotatable design by response surface methodology was applied for optimization of ultrasonic extraction conditions of Bene hull (Pistacia atlantica subsp. Mutica) polyphenols. The sonication time, temperature and ethanol-water ratio were independent parameters studied for the extraction optimization. Total polyphenols and antioxidant potentials of extracts in terms of ferric reducing antioxidant potential (FRAP), DPPH scavenging activity and oxidative stability index (OSI) were determined. The obtained data were well consistent with the polynomial equations by significant variation in linear, quadratic and interaction impacts of the process factors. The optimized extraction conditions were sonication time, 26.91 min, temperature, 50.42 °C and ethanol concentration, 55.84%. The total polyphenols, DPPH, FRAP an OSI of optimal extract were 304.47 mg GAE/g, 72.47%, 54.04 mmol/100g and 8.55 h, respectively. High performance liquid chromatography (HPLC) analysis of optimal extract detected presence of epicatechin, chlorogenic, sinapic, caffeic and gallic acids.

Abstract Caviars represent the best-known form of fish roe products. The conventional method of roe processing includes saturated brine salting. However, despite the importance of these products, there is relatively little technical information available about their chemical composition, product quality and food safety attributes.
Three experimental treatments were provided with kutum roe brined in 10, 18 and 24% sodium chloride solutions for 14 days (24°C). Then, the brined-roes were removed from the solution and stored at 4°C for 90 days in refrigerator. The contents of proximate compositions, salt, volatile base nitrogen (VBN), total psychrotrophic bacteria and histamine forming bacteria, color were measured. Sampling was carried out at the first and at the end of days 30, 60 and 90 of storage period.
The samples brined in 10% solution putrefied during the brining and removed from study. The moisture and total volatile nitrogen content of 24% brined roes were lower than 18% treatment. The pH and histamine forming bacteria number at the end of storage and total psychrotrophic bacteria number after 60 days of storage were higher. The increase of L* value and the decrease of a* value in samples of brine 18% were observed on days 60 and 90 of storage, but this increase was induced only on the day 90 for samples of brine 24%.
18%brined roe showed acceptable chemical and microbial results in refrigerated condition, and 24% brine roe appeared optimal during storage period.

Abstract In this study, the effects of bath and probe ultrasound treatments were investigated on yield, texture (hardness, adhesion, cohesion, springiness and chewiness), pH and moisture content of fresh white cheese. The times 2, 4, 6 minutes and 5, 10, 15 minutes were used in probe treatment (frequency 20 kHz) and bath treatment (frequency 37 kHz), respectively, at temperatures of 40, 50 and 60°C in two stages (raw cow milk and cheese matrix). The results showed that applying ultrasound treatment significantly (P

Abstract In this study, artificial neural networks (ANNs) was utilized for modeling and the prediction of moisture content (MC) of garlic during drying. The application of a multi-layer perceptron (MLP) neural network entitled feed forward back propagation (FFBP) was used. The important parameters such as air drying temperature (50, 60 and 70°C), slice thickness (2, 3 and 4 mm) and time (min) were considered as the input parameters, and moisture content as the output for the artificial neural network. Experimental data obtained from a thin-layer drying process were used testing the network. The optimal topology was 3-25-5-1 with LM algorithm and TANSIG threshold function for layers. With this optimized network, R2 and mean relative error were 0.9923 and 9.67 %, respectively. The MC (or MR) of garlic could be predicted by ANN method, with less mean relative error (MRE) and more determination coefficient compared to the mathematical model (Weibull model).

Abstract In the study, the effect of compositional parameters (Xanthan, Corn flour and quinoa flour content) on sensory characteristics and image features of gluten free bread were evaluated. Results showed, addition of quinoa and corn flour significantly decreased L* value and increased a* value of crust and crumb of gluten free bread. Also, increased percentage of corn flour has led to decreased amount of FDL* that indicates the area appears less nonhomogeneous on surface of gluten- free bread. The results also showed that using complete flour of quinoa causes softness in bread due to the presence of bran and networking, therefore, resulting in increased contrast, homogeneity and entropy, and decreased energy and correlation of produced breads. The results of sensory analysis showed that all samples containing quinoa flour have higher overall acceptance score than that of the control treatment. Correlation analysis showed a good linear relationship between image features and overall acceptance of gluten- free bread. Results showed that the optimized Adaptive Neuro-Fuzzy Inference System (ANFIS model) provide best accurate prediction method for overall acceptance of gluten-free bread (R2= 0.994 and MSE= 0.0015) and it could be a useful tool in the food industry to design and develop novel products.