This study investigated thin layer drying of squash seeds under semi fluidized and fluidized bed conditions with initial moisture content about 83. 99% (d.b.). An experimental fluidized bed dryer was also used in this study. Air temperature levels of 50, 60, 70 and 80°C were applied in drying samples. To estimate the drying kinetic of squash seed, seven mathematical models were used to fit the experimental data of thin layer drying. Among the applied models, Two-term model has the best performance to estimate the thin layer drying behavior of the squash seeds. Fick's second law in diffusion was used to determine the effective moisture diffusivity of squash seeds. The range of calculated values of effective moisture diffusivity for drying experiments were between 0.160×10 −9 and 0.551×10 −10 m 2 /s. Moisture diffusivity values decreased as the input air temperature decreased. Activation energy values were found to be between 31.94 and 34.49 kJ/mol for 50°C to 80°C, respectively. The specific energy consumption for squash seeds was calculated at the boundary of 0.783×10 6 and 2.303×10 6 kJ/kg. Increasing in drying air temperature in different bed conditions led to decrease in specific energy value. Results showed that applying the semi fluidized bed condition is more effective for convective drying of squash seeds. The aforesaid drying characteristics are useful to select the best operational point of fluidized bed dryer and to precise design of system.
Amiri Chayjan R., Salari K., Shadidi B., 2012. Modeling some drying characteristics of garlic sheets under semi fluidized and fluidized bed conditions. Res. Agr. Eng., 58: 73-82.Thin layer drying properties of high moisture garlic sheets under semi fluidized and fluidized bed conditions with high initial moisture content (about 154.26% d.b.) were studied. Air temperatures of 50, 60, 70 and 80°C were applied to garlic samples. Among the applied models, Page model was the best to predict the thin layer drying behavior of garlic sheets. Using this model, correlation coefficient (R 2 ) was high for all drying cases. The computed values of D eff were between 3.38 × 10 -10 and 2.54 × 10 -9 m 2 /s during the falling rate drying. Values of D eff for garlic sheets were also increased with increasing in input air temperature. Activation energy values were varied between 51.32 and 60.58 kJ/mol for 50 to 80°C, respectively. The specific energy consumption (SEC) for garlic specimens was placed in the range of 0.316 × 10 6 and 0.979 × 10 6 kJ/kg from 50 to 80°C, respectively. An increase in air temperature caused decrease in SEC value. Application of semi fluidized bed convective drying with temperature between 50 and 60°C was suitable to produce dried garlic.
Mint leaves are aromatic, almost exclusively perennial, rarely annual, herbs. Drying of mint leaves guarantees a longer shelf time while preserving its quality for use in pharmaceutical and food industries. In this study, the drying behavior of Mint leaves in a fluidized bed dryer (FBD) under different drying conditions (fixed, semi-fluidized and fluidized) and 4 temperature levels (30, 40, 50 and 60 °C) was investigated. The experimental data was assessed using semi-theoretical and experimental models. Finally, Page’s model was selected as the best model based on its R2, χ2 and RMSE values. Findings showed that the effective moisture diffusivity of Mint leaves ranged between 0.91 × 10–11 and 10.41 × 10–11 m2/s. The activation energy was also between 60.82 and 65.59 kJ/mol. The results of statistical analyses also showed that drying time was significantly reduced with increasing air velocity (changing drying bed from fix bed to fluid bed).
64 Background: Prostate Cancer (PCa) related anxiety varies widely based on management option. SBRT offers a safe and effective treatment for localized PCa. However, there is a paucity of data regarding PCa specific anxiety following SBRT and its relationship with PSA kinetics. In this report we present the results of a mail-in survey conducted amongst the participants of our prospective institutional quality of life (QOL) trial and identify sociodemographic and disease specific predictors of anxiety. Methods: Patients with localized PCa treated with SBRT at a single institution from 2007-2018 were eligible for inclusion in this study. The Memorial Anxiety Scale for PCa (MAX-PC) survey, was mailed to 450 patients on July of 2018. Patient’s total MAX-PC score (scale 0-54) was recorded. A score of ≥ 27 was defined as significant anxiety. Disease specific as well as demographic features were analyzed for possible correlation with self-reported anxiety. Results: By August 31, 2018, 227 patients had responded to the survey . The median score at all time points was 5 (1-41). Stratified by risk grouping; Low, Intermediate, and High Risk patients’ median scores were 7, 4.5 and 6. Six patients had a MAX-PC score≥27. Patients who were at least 2 years out from SBRT treatment had lower mean MAX-PC scores than those who were still within 2 years (6.3 versus 8.1, p = 0.045). Stratified by age, patients > 80 years old had a median score of 2 versus those < 70 with a median score of 6. Caucasian patients had lower mean MAX-PC scores than non-Caucasian patients (6.6 versus 9.1, p = 0.021). Patients who had at least a 0.5 ng/mL increase in PSA in their last 3 measurements had higher mean MAX-PC scores than those who did not (13.0 versus 7.0, p = 0.040). Conclusions: Patients with clinically localized PCa treated with SBRT experience minimal PCa specific anxiety. Anxiety surrounding PCa decreases with time. Non-Caucasian patients tended to have more anxiety than Caucasian patients. Patients who had recent PSA bounces tend to have higher levels of anxiety about their disease. Further follow-up of these patients over time would aid in assessing the progression of PCa specific anxiety as their lives progress.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.