5 results on '"Z Hamidi"'
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2. Design of ultrasonic probe and evaluation of ultrasonic waves on E.coli in Sour Cherry Juice
- Author
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B Hosseinzdeh Samani, M. H Khoshtaghaza, S Minaei, Z Hamidi Esfahani, and M Tavakloli Dakhrabadi
- Subjects
cavitation ,pasteurization ,power ,probe ,response surface ,ultrasonic ,Agriculture (General) ,S1-972 ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Introduction: The common method used for juice pasteurization is the thermal method since thermal methods contribute highly to inactivating microbes. However, applying high temperatures would lead to inefficient effects on nutrition and food value. Such effects may include vitamin loss, nutritional flavor loss, non-enzyme browning, and protein reshaping (Kuldiloke, 2002). In order to decrease the adverse effects of the thermal pasteurization method, other methods capable of inactivation of microorganisms can be applied. In doing so, non-thermal methods including pasteurization using high hydrostatic pressure processing (HPP), electrical fields, and ultrasound waves are of interest (Chen and Tseng, 1996). The reason for diminishing microbial count in the presence of ultrasonic waves could be due to the burst of very tiny bubbles developed by ultrasounds which expand quickly and burst in a short time. Due to this burst, special temperature and pressure conditions are developed which could initiate or intensify several physical and/or chemical reactions. The aim of this study is to evaluate the non-thermal ultrasonic method and its effective factors on the E.coli bacteria of sour cherry. Materials and methods: In order to supply uniform ultrasonic waves, a 1000 W electric generator (Model MPI, Switzerland) working at 20±1 kHz frequency was used. The aim of this study is to evaluate the non-thermal ultrasonic method and its effective factors on the E.coli bacteria of sour cherry. For this purpose, a certain amount of sour cherry fruit was purchased from local markets. First, the fruits were washed, cleaned and cored. The prepared fruits were then dewatered using an electric juicer. In order to separate pulp suspensions and tissue components, the extracted juice was poured into a centrifuge with the speed of 6000 rpm for 20 min. For complete separation of the remaining suspended particles, the transparent portion of the extract was passed through a Whatman filter paper using a vacuum pump (Mehmandoost et al., 2011). Afterwards, the samples were poured into a reactor with diameter and height of 80 and 50 mm, respectively. It is necessary to mention that the dimensions of the reactor were optimized during pretests. Probe design: One of the most common types of horns used for ultrasonic machining technologies is step type horn (Naď, 2010). For obtaining the governing equations on deformation along the step type horn in steady state conditions, Eq. (1) was used. In the solution of the mentioned differential equation, the answers are divided into two subsets and each of the answers is obtained considering the boundary conditions (Hosseinzadeh et al., 2013): (1) c^2.[(∂S/∂x)/(S(x)).(∂u(x,t))/∂x+(∂^2 u(x,t))/〖∂x〗^2 ]=(∂^2 u(x,t))/〖∂t〗^2 From Eq. (1), it can be concluded that: (2) u(x,t)=(A cos〖ωx/c〗+B sin〖ωx/c)(C cos〖ωt+D sinωt 〗 〗) The boundary conditions for Eq. (2) are written as follows: (3) {■(a) (∂u(x))/∂x=0,x=0@b) (∂u(x))/∂x=0,x=l@c) u(0)=u_in )} One of the most important parts in probe design is preventing stress concentration in locations in which the area changes. To avoid this problem, the displacement in this section must be equal to zero (Hosseinzadeh et al., 2013). For obtaining the probe length, the displacement equation and the l1 parameter are used: σ=-E.u_in.ω/c.sin〖(ω.x)/c〗 (4) In order to determine the maximum axial stress in step type probe, Eq. (3) and (4) are derived and set equal to zero. Therefore, the maximum stress will be equal to: σ_max=π.E.u_in/l (5) Optimization and Modeling using Response Surface Method: Response surface methodology (RSM) has an important application in the design, development and formulation of new products, as well as in the improvement of existing product designs. It defines the effect of the independent variables, alone or in combination, on processes. In addition, to analyzing the effects of the independent variables, this experimental methodology generates a mathematical model which describes the chemical or biochemical processes (Anjum et al., 1997, Halim et al., 2009). In order to obtain the optimum value, Eq. (1) will be used: (6) Y_i=β_0+∑▒〖β_i X_i+∑▒〖β_ij X_i X_j+〗〗 ∑▒〖β_ij X_i^2 〗+ε where, β0, βj, βij, βjj are regression coefficients for intercept, linear, interaction and quadratic coefficients, respectively, while Xi and Xj are coded independent variables and ε is the error. For this purpose, four factors of ultrasonic power (200 to 600 W), wave exposure time (5 to 15 min), probe diameter (20 to 40 mm), and probe penetration depth in sour cherry juice container (0 to 40 mm) were selected. First, the probes with the desired diameters were designed using the related formulas by using CAD-CAM. Results and Discussion: Surface Method (RSM) indicated that the quadratic model with 0.96 coefficient of friction, standard error of 1545.3, and coefficient of variation of 14% is the best model for estimating the number of E.coli bacteria among the different studied treatments. The results showed that with increasing probe diameter and probe depth, the destructive effects of ultrasonic wave increase. It was also revealed that as the probe diameter and penetration depth increase, the destructive effect of ultrasonic wave is initially increased and then follows by a decreasing trend. With the increasing power of ultrasonic, ultrasonic intensity increases and leads to reducing number of E.coli in sour cherry juice. The increase in time of treatment with ultrasonic causes a decrease in the number of E.coli in sour cherry juice. This is due to the fact that the increase of ultrasonic exposure time leads to the increase of sonic stream in reactor and results in higher contributions of ultrasonic waves to E.coli. Finally, the examined variables were optimized by RSM and the values of ultrasonic power, waves exposing time, probe diameter, and probe penetration depth were obtained as 600 W, 15 min, 35.31 mm, 20.83 mm, respectively. Considering the mentioned values, the amount of E.coli bacteria reduction was estimated to be 1.97 logarithmic period. Conclusions: 1. Increasing probe diameter and probe depth increasesthe destructive effect of ultrasonic wave. 2. The examined variables were optimized by RSM and the values of ultrasonic power, waves exposure time, probe diameter, and probe penetration depth were obtained as 600W, 15 min, 35.31 mm, 20.83 mm, respectively. Considering the optimum values, the amount of E.coli bacteria reduction was estimated to be 1.97 logarithmic period. 3. With the increasing power of ultrasonic waves, ultrasonic intensity increases and leads to a reduction of the number of E.coli in sour cherry juice. 4. The increase in time of treatment with ultrasonic causesa decrease in the number of E.coli in sour cherry juice.
- Published
- 2015
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3. Selecting a mathemathical model for drying kinetics of yoghurt in a microwave–vacuum dryer
- Author
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A. Ghaderi, S. Abbasi, and Z. Hamidi
- Subjects
effective moisture diffusivity ,kinetics ,microwave–vacuum dryer ,modelling ,yoghurt ,Food processing and manufacture ,TP368-456 - Abstract
In the present study, the drying kinetics of non-fat yoghurt with constant thickness of (2.2 mm) in a microwave–vacuum dryer to the power of (35, 130, and 260 W) as well as 5 absolute pressure levels (60, 200, 400, 600, and 800 mbar) were evaluated. To choose the best, also 12 experimental/ semi-theoretical and/or empirical thin-layer drying models were examined. Based on the findings of this study various ranges of microwave power affects drying time where by increasing the microwave power (from 35 to 260 W), drying time significantly decreases from 90 min to 15) which is (600%). However, no significant effects in drying time were observed when reduced the absolute pressure in the system. RMSE was picked to be the most suitable model when the comparison runs between Logistic, Middilli and coworkers models for it contained maximum R2 and minimum χ2 so it could satisfactorily describe the drying kinetics of non-fat yoghurt. The effective moisture diffusivity was increased by increasing the microwave power from 4.42×10-10 to 2.83×10-9 m2s-1 while the pressure had zero effect on this value. In addition, the activation energy was calculated using the modified Arrhenius equation method.
- Published
- 2012
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4. COMPARATIVE STUDY ON NUTRIENT COMPOSITIONS OF KUTUM (RUTILUS FRISII KUTUM) AND GRASS ARP (CTENOPHARYNGODON IDELLA) AND THEIR MARINADE QUALITIES
- Author
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R. Esmaeilzadeh kenari1; M. Sahari2; Z. Hamidi esfehani
- Subjects
NUTRIENT COMPOSITIONS ,MARINADE ,RUTILU~ FTIYII KUTUM ,Ctenopharyngodon idella ,Caspian Sea ,Iran ,Agriculture ,Aquaculture. Fisheries. Angling ,SH1-691 - Abstract
The Caspian kutum, Rutilus frisii kutum, and grass carp, Ctenopharyngodon idella are two commercially important fishes with similar external features, the first one being endemic to the Caspian Sea, and the second one is cultured in freshwater polyculture system. In this study the nutrient composition of these fishes were compared. Then with the intention of better shelf-life, their hot processed marinades were organoleptically analysed at intervals of 2, 4, 6 and 8 months, using Total Volatile Nitrogen (T.V.N) and peroxid values. The comparison of the fish composition with Duncan test showed no significant difference (p< %5) in average amount of protein, ash and energy content, but significant difference in amount of lipid, P, Ca content, iodine value, saponification value, acid value, peroxide value (at 0,1,3,5 and 7 days after oil extraction) was observed. It means that lipid content, peroxide value and acid value in kutum were higher than grass carp (0.93%, 1.5 mEq/kg and 4.33% fatty acid according to oleic acid, respectively), and Ca, P contents, iodine value and saponification value, on the other hand, were higher in grass carp (39.89 and 12.01 mg/100g , 6.20 %12 and 8.62 mgKOH/g, respectively). The organoleptic results showed that the produced marinade from grass carp (according to variance analysis) is perferable than the other one. Also, it was found that this marinade can be stored during 6 months at 10°C in good condition.
- Published
- 2003
5. Optimization of MRI Relaxometry for BMD Measurement and Its Correlation with DEXA
- Author
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N. Riahi Alam, M. Bakhtiari, M.A. Oghabian, A. Ghasemzadeh, H. Ghenaati, S. Sarkar, B. Larijani, Z. Hamidi Abarghoie, and N. Shakeri
- Subjects
lcsh:R5-920 ,Dual Energy X ray Absorptiometry ,bone mineral ,relaxometry ,lcsh:R ,lcsh:Medicine ,lcsh:Medicine (General) ,dual energy x-ray absorptiometry ,osteoporosis - Abstract
Introduction & Objective : The aim of this study was to optimize MRI conventional protocols for BMD(Bone Mineral Density) measurements using MRI Relaxometry in systems not facilitated with special multi echo protocols. Since, cortical and trabecular bone separation can not be performed in DEXA, so the results might lead to erroneous interpretation of BMD values. One method for bone quality determination is MRI Relaxometry that derives R2(=1/T2), R2*(=1/T2*)and R2’(=R2*-R2). Materials and Methods: This study was performed by 1.5T MRI system(Picker Vista-Q800), an uniformity phantom(1.25gr/l CuSO4, with T2=200ms for calibration), a body RF-Coil, 7 normal, 7 osteopenia, 7 osteoporosis volunteers and Lunar DEXA system (DPX-MD). To determine R2* and R2, multi GE and SE protocols with different TE/TR were used. Then in phantom and in coronal section of femoral-neck, relaxation rates were compared with BMD. The slope of neperian-logarithm of signal vs. TE in GE as -R2* used for protocol optimization. Results: For phantom calibration, optimized GE parameters of TE=13.42/18/26.8 ms, TR=800ms and ST=8mm used for the measurement of R2*, while, the measurement of R2 required the optimized SE parameters of TE=30/60/90/120ms, TR=800ms and ST=8mm, with CV(R2*)=2.75%, CV(R2)=2.17%, respectively. In volunteers for SE, TE of 36/54/63/72ms and TR=800ms were used, while, for GE the TEs/TR were the same as those of phantom study. R2* and R2’ showed a significant positive correlation with BMD, r=0.62(p
- Published
- 2005
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