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In this study, the effect of incorporating chia seed modified flour(MSF) (0-7.5 %) on moisture content, fat content, total fiber content, antioxidant activity, total phenol content, color, texture and organoleptic characteristics of functional barbari bread was evaluated. The results showed addition of MSF increased the moisture content, oil and total fiber content, total phenol content and antioxidant activity (17.9±0.9 % to 66.2 ± 0.2%) in the samples. While increasing the amount of MSF, the L* value and hardness of the samples was decreased. The organoleptic characteristics of bread containing 2.5% MSF had no significant different (P<0.05) with the control. Increasing the replacement of wheat flour with MSF (2.5 to 7.5%) reduced the acceptability of organoleptic characteristics of bread. Based on the results of the simultaneous thermal analysis (STA), the enthalpy for control was 4119.94 (J/g) and for the bread containing 5% MSF was about 4369.1 (J/g).  SEM results showed that the incorporation of MSF created a more uniform structure with smaller cavities in the bread.

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The mechanical properties of fruit are one of the most important determinants of standards for designing, transforming, processing, and packaging systems. One of the methods for changesdemonstraction in the internal structure of fruits during storage is to perform stress relaxation tests in different predetermined strains. Therefore, the purpose of this study was to investigate the orange compression behavior in quasi-static mechanical loadings by performing stress-relaxation tests of samples at predetermined levels of strain and modeling the Maxwell and Peleg method and comparing it with image processing method. In addition, in this study, cross-sectional area changes were measured during loading by image processing. The modulus of elasticity in the image processing method, the Maxwell model and the Peleg model on days 0 to 9 increased from 3.91 to 4.5, 3.6 to 4.53 and 2.7 to 3.45, respectively. which in spite of increasing trend there was no significant difference between them Since, no significant difference in the output of these two models (Maxwell and Peleg) was observed Peleg with the less number of elements (only two constants) was preferred compared to Maxwell method

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Determining the status of egg fertilization plays a major role in determining the quality of eggs and their products. In this regard, in order to achieve greater productivity and production, egg evaluation is considered necessary and important in terms of spermatogenesis. In this regard, spectroscopy was performed in the range of 0.01900 nm from 130 local egg samples in the direction of the main diameter for 3 days during the storage period. Spectrum data from spectrometers, in addition to sample information, include unwanted information and noise.  For this reason, in order to achieve accurate classification models, it is necessary to process spectral data before developing the appropriate model. In this regard, intelligent neural network classification was developed based on reference measurements and information of pre-processed spectra by combining different methods of smoothing, normalizing and increasing spectral separation power to determine the presence of sperm in the egg.  Classification results on day zero, first, second, warehousing with 72.3% accuracy, 73.1%, 75.5%, and detection, 86.31, 87.1%, 76% and sensitivity, respectively: 83 61%, 79.63% and 73.3% were obtained.