Article
Food Science & Technology
Sara Nanvakenari, Kamyar Movagharnejad, Asefeh Latifi
Summary: This study investigated the effects of infrared and microwave power, air velocity, and temperature on the drying process of rice in a hybrid dryer. The results showed that the hybrid system significantly improved the moisture removal rate, head rice yield, and reduced the energy consumption compared to a single fluidized bed dryer. The optimum drying conditions were determined to achieve the best rice quality and efficiency.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Food Science & Technology
Renan Alex Lazarin, Rodolfo Campos Zanin, Mariah Benine Ramos Silva, Elza Iouko Ida, Michele Nehemy Berteli, Louise Emy Kurozawa
Summary: This study investigated the effectiveness of microwave-assisted rotating-pulsed fluidized bed for drying okara and its impact on bioactive compounds. The results showed that microwave radiation can accelerate the moisture loss in okara and achieve equilibrium moisture content earlier. In addition, microwave radiation was able to partially inactivate trypsin inhibitors in okara due to the higher temperatures inside the drying chamber. However, the higher temperatures also led to increased losses of isoflavones, necessitating further research to optimize the process parameters for preserving isoflavones and promoting their interconversion.
FOOD AND BIOPROCESS TECHNOLOGY
(2023)
Article
Thermodynamics
Agustami Sitorus, Novrinaldi, Satya Andika Putra, Irwin Syahri Cebro, Ramayanty Bulan
Summary: The study investigated the drying kinetic model of paddy under different capacities drying conditions in a swirling fluidized bed (SFB) dryer. The results showed that the drying rate of paddy decreased as the drying time increased in all treatment capacities evaluated. Among the models examined, the linear-plus-exponential model was able to describe the paddy drying kinetics using the SFB dryer effectively.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
V. Chuwattanakul, K. Wongcharee, M. Pimsarn, S. Chokphoemphun, S. Chamoli, S. Eiamsa-ard
Summary: The effect of conical air distributors on the drying of peppercorns in a fluidized bed dryer was experimentally studied. The results showed that air distributors with specific parameters exhibited better drying performance, and increasing the air velocity accelerated the drying process. Additionally, a neural network model was constructed to predict the moisture content of peppercorns.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Ali Etem Gurel, Umit Agbulut, Alper Ergun, Ilhan Ceylan, Adnan Sozen, Azim Dogus Tuncer, Ataollah Khanlari
Summary: Solar thermal systems are commonly used for sustainable thermal energy, and a temperature-controlled fluidized bed solar drying system has been successfully designed in this study. The efficiency of the system was found to be 64%, with the flat plate and plate with zigzag fins achieving exergy efficiencies of 7.2% and 11.6% respectively. Response surface methodology was used to model moisture content values, showing accurate predictions with high fitting performance.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
K. Nanan, S. Eiamsa-ard, S. Chokphoemphun, Manoj Kumar, M. Pimsarn, V. Chuwattanakul
Summary: The aim of this study was to investigate the shrimp drying process in a fluidized-bed dryer in order to develop a more efficient method compared to traditional sun drying. The influence of shrimp size, bed height, and air temperature on the drying rate was studied, with the moisture content of boiled shrimp decreasing at higher drying temperatures. Reducing bed height and shrimp size both increased shrimp moisture removal. The highest dried shrimp production rate was achieved at a bed height of 1.0 and drying temperature of 80 degrees C.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Engineering, Chemical
Mengke Lu, Patrick Kranz, Andrew Salmon, Sam Wilkinson, Rok Sibanc
Summary: This work aims to evaluate thermal behaviors and develop a soft sensor for online prediction of LOD in the Seg-FBD. Heat transfers and conductions among the Seg-FBD are evaluated based on temperature measurements. The models are calibrated and a soft sensor is established, showing the capability of predicting real-time LOD.
Article
Engineering, Chemical
Francis Gagnon, Jocelyn Bouchard, Andre Desbiens, Eric Poulin, Pierre-Philippe Lapointe-Garant
Summary: A dynamic model with lumped parameters of a continuous horizontal fluidized bed dryer equipped with a screw conveyor has been developed in this paper to support the endeavor of process and control designs. The simulation results for calcium carbonate granules in a laboratory scale dryer are consistent with fluidization, drying, and continuous reactor fundamentals.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Engineering, Chemical
Sebastian Alexander Perez Cortes, Yerko Rafael Aguilera Carvajal, Juan Pablo Vargas Norambuena, Javier Antonio Norambuena Vasquez, Juan Andres Jarufe Troncoso, Juan Pablo Hurtado Cruz, Angelica Patricia Munoz Lagos, Pamela Paz Jara Munoz
Summary: By studying the internal phenomena of a concentrate dryer and utilizing computational fluid dynamics and the differentiated elements method, detailed information about the complex phenomena in the simulated obtention of copper metal was obtained, thus significantly improving the modeling and design of the melting process. The study, part of the critical process line at Caletones Smelter in Chile, is highly relevant due to its production of approximately 450,000 tons of fine copper per annum, representing 2% of total annual global copper demand.
CHEMICAL ENGINEERING & TECHNOLOGY
(2021)
Article
Automation & Control Systems
Francis Gagnon, Andre Desbiens, Eric Poulin, Jocelyn Bouchard, Pierre-Philippe Lapointe-Garant
Summary: This paper examines the impact of advanced process control on the operation efficiency and product quality in wet granulation lines. The results show that using an economic model predictive controller or a classical predictive control framework can significantly reduce energy consumption and improve product quality.
JOURNAL OF PROCESS CONTROL
(2022)
Article
Engineering, Chemical
Luqman Abdul Halim, Firdaus Basrawi, Ahmmad Shukrie Md Yudin, Amir Abdul Razak, Nor Azfa Johari, Azira Muhamad, Mohd Razif Mamat
Summary: This study investigates the possibility of using a swirling fluidized bed dryer (FBD) to rapidly dry stingless bees pot-pollen, and explores the influence of distributor type and superficial air velocity on drying efficiency. The findings show that the 67 degrees swirling distributor with a higher air velocity provides the best drying performance.
Article
Engineering, Chemical
Pavitra Singh, Pinakeswar Mahanta, Pankaj Kalita, Alok Kumar Singh
Summary: A rotating fluidized bed in a static geometry dryer without a slit is highly recommended for various operations. A highly efficient moisture removal technique is proposed, reducing energy loss and improving drying efficiency.
Article
Thermodynamics
Hanyu Jin, Qiang Wu, Shuai Wang, Yurong He
Summary: In this study, the mass and heat transfer behaviors of ellipsoid wet particles in a fluidized bed dryer were investigated using the CFD-DEM method. The heat transfer mechanisms caused by contact, convection, and liquid bridge were analyzed. The study found that a reduction in liquid content weakens the heat flow between particles, and the agglomeration of non-spherical particles during the drying process leads to a lower drying rate.
APPLIED THERMAL ENGINEERING
(2024)
Article
Engineering, Chemical
Shobhit Ambawat, Alka Sharma, Ramesh Kumar Saini
Summary: This study investigated the drying kinetics of Moringa leaves in a fluidized bed dryer using nine different mathematical models. The analysis determined that the Midilli-Kucuk model was the best fit for the drying curves.
Article
Engineering, Chemical
Mohsen Karimi, Mehdi Moradi, Mehrdad Niakousari, Seyed Hosein Karparvarfard
Summary: This study investigates the optimization of the drying process for energy reduction and the reduction of greenhouse gas emissions. Different drying conditions were compared in terms of specific energy consumption and greenhouse gas emissions. A new dimensionless model for drying of canola seeds was developed, providing precise data for effective parameters in the drying process. This research has significant implications for the development of eco-friendly drying methods in food process engineering.
JOURNAL OF FOOD PROCESS ENGINEERING
(2022)
Article
Food Science & Technology
Nooshin Shakoury, Mohammad Amin Aliyari, Maryam Salami, Zahra Emam-Djomeh, Bongkosh Vardhanabhuti, Ali Akbar Moosavi-Movahedi
Summary: The aim of this study was to investigate the antioxidant activity and phenolic compounds of propolis and to evaluate the possibility of encapsulation of propolis extract in whey protein nanoparticles. Nanoparticles were produced through freeze-drying and the optimal process for extraction was found to be 80% v/v ethanol. The encapsulated propolis-WPN complexes were mainly formed through hydrophobic interactions and showed reduced crystallization phase and controlled release in gastrointestinal digestion. The compositions of 4% pH: 3.2 and 4% pH: 7.5 exhibited the most suitable characteristics for various food applications.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Vahid Mosayebi, Milad Fathi, Mohammad Shahedi, Nafiseh Soltanizadeh, Zahra Emam-Djomeh
Summary: Fast-dissolving antioxidant nanofibers based on Spirulina protein concentrate (SPC) and gelatin were successfully produced using needleless electrospinning technique. These nanofibers showed improved antioxidant activity and rapid dissolution in aqueous medium, making them potentially useful for nutraceutical delivery in food and packaging applications under high humidity.
Article
Food Science & Technology
Mina Mohammadi, Maryam Salami, Mohammadsaeed Yarmand, Zahra Emam-Djomeh, David Julian McClements
Summary: In this study, bioactive peptides with high antioxidant and ACE-inhibitory activity were produced by chymotrypsin-mediated hydrolysis of lentil protein isolate. The fortification of the muffins with lentil protein or its hydrolysates significantly affected their physicochemical properties, texture, sensory attributes, and antioxidant activity.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2022)
Article
Food Science & Technology
Maryam Sadat Mirmohammad Meiguni, Maryam Salami, Karamatollah Rezaei, Seyed-Behnam Ghaffari, Mohammad Amin Aliyari, Zahra Emam-Djomeh, Yasmin Barazandegan, Ingolf Gruen
Summary: A novel complex coacervate based on mung bean protein and succinylated chitosan was developed to encapsulate curcumin for enhanced antioxidant and release properties. The complex exhibited significant stability and controlled release behavior in simulated gastrointestinal conditions, and had good dispersity characteristics.
JOURNAL OF FOOD SCIENCE
(2022)
Article
Agriculture, Multidisciplinary
Neda Aliabbasi, Zahra Emam-Djomeh, Gholamreza Askari, Maryam Salami
Summary: This study investigated the impact of different kappa-carrageenan concentrations on the gel morphology, physicochemical properties, and release behavior, finding that ideal gel structures and properties can be obtained at certain concentrations. Additionally, the study highlighted the protective effect of kappa-carrageenan/PBA gels on curcumin and their high efficiency in colon-targeting delivery.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Food Science & Technology
Marzieh Shakouri, Maryam Salami, Loong-Tak Lim, Mohammad Ekrami, Mehdi Mohammadian, Gholamreza Askari, Zahra Emam-Djomeh, David Julian McClements
Summary: Multifunctional and innovative biopolymer-based indicator films containing gelatin and basil seed gum, with different concentrations of saffron petal extract, were prepared. The addition of saffron petal extract improved the physical properties and antimicrobial activity of the indicator films, making them potential indicators for monitoring food spoilage.
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
(2023)
Article
Agriculture, Multidisciplinary
Rahim Azadnia, Ali Rajabipour, Bahareh Jamshidi, Mahmoud Omid
Summary: Timely monitoring of apple trees' nutrition status is crucial for accurate nutrient management, and this study aims to establish a cost-effective and non-destructive method for estimating NPK status using Vis/NIR spectroscopy and machine learning. Ground-based sensors provide efficient information on nutritional status, while tissue analysis is laborious and destructive. The results indicate that the developed models using non-linear methods show superior performance in estimating NPK contents in apple tree leaves.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Thermodynamics
Sara Borhani, Alibakhsh Kasaeian, Peyman Pourmoghadam, Mahmoud Omid
Summary: The goal of this research is to study a trigeneration solar system that can meet household energy demands. A reliable network is trained to forecast the system's functionality under different weather conditions, replacing the time-consuming simulation process. The research shows that warm regions like Ahwaz province have the most suitable weather conditions to effectively utilize the system.
APPLIED THERMAL ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Seyed Roohollah Mousavi, Fereydoon Sarmadian, Marcos Esteban Angelini, Patrick Bogaert, Mahmoud Omid
Summary: This study investigates the use of a structural equation modeling (SEM) approach to assess the effects of soil forming factors on key soil properties in an arid and semi-arid region of Iran. The results show that several environmental factors are impacting these soil properties. Although the SEM approach is useful for identifying cause-effect relationships, it is not efficient for digital soil mapping of these soil properties.
Article
Environmental Sciences
Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Fereydoon Sarmadian, Hassan Ghasemi-Mobtaker
Summary: This research developed a novel deep learning-based model for predicting soil properties using visible and near-infrared spectroscopic data. The study demonstrated that the CNN model outperformed the PLSR model in predicting various soil properties. The use of deep learning-based models and VIS-NIR spectral data was shown to be a feasible method for rapidly assessing important soil properties.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Agriculture, Multidisciplinary
Shima Nikkhou, Mohsen Labbafi, Mohammad E. Mousavi, Gholamreza Askari
Summary: The insoluble fraction of Persian gum (IFPG) modified with octenyl succinic anhydride (OSA) showed increased emulsifying capacity and improved rheological and textural properties of dairy cream.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Food Science & Technology
Morad Mousazadeh, Mohammad Mousavi, Zahra Emam-Djomeh, Salar Ali Ahmed, Mehri Hadinezhad, Hamed Hassanzadeh
Summary: Principal component analysis (PCA) was used to investigate the effects of different ingredients on the sensory descriptors of a spread based on pistachio oil. PCA revealed that adhesiveness, hardness, oiliness, and fluidness were the most significant factors. The power law model was found to be more accurate in fitting the samples. The optimum combination of variables (15% pistachio oil, 7.5% cocoa butter, 0.3% xanthan gum, and 1% distilled monoglyceride) produced desirable spreads that mimic commercial spreads.
FOOD SCIENCE & NUTRITION
(2023)
Article
Agriculture, Multidisciplinary
Saman Alvandi, Seyed Saeid Mohtasebi, Mahmoud Omid, Mohammad Hosseinpour-Zarnaq
Summary: An intelligent system combining machine vision and artificial neural networks was developed to classify and clean N. sativa seeds and its impurities. The results demonstrated the feasibility of this approach in real-time cleaning and suggested its potential use in detecting, classifying, and automatically cleaning other similar seeds.
SPANISH JOURNAL OF AGRICULTURAL RESEARCH
(2023)
Article
Agriculture, Multidisciplinary
Khaled Mohi-Alden, Mahmoud Omid, Mahmoud Soltani Firouz, Amin Nasiri
Summary: The uniformity of appearance attributes is crucial for bell peppers in order to meet the standards and needs of consumers and the food industry. This research aimed to develop a machine vision-based system for sorting bell peppers based on maturity levels and size, using multilayer perceptron (MLP) artificial neural networks as the nonlinear models. The results showed that the MLP outperformed other models, and the system achieved high accuracy and speed in the in-line sorting process.
INFORMATION PROCESSING IN AGRICULTURE
(2023)