Article
Thermodynamics
Mohammad U. H. Joardder, M. A. Karim
Summary: Intermittent Microwave-Convective Drying (IMCD) is an advanced drying technology that overcomes the limitations of microwave, convective, and microwave-convective drying. This research demonstrates significant differences in drying and rehydration kinetics of IMCD dried versus convective dried food materials. IMCD dried samples exhibit better rehydration capacity and appearance.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2022)
Article
Food Science & Technology
Arman Arefi, Barbara Sturm, Sharvari Raut, Gardis von Gersdorff, Oliver Hensel
Summary: This paper investigates the potential use of laser-based imaging techniques in non-invasive quality inspection of apple slices during drying. The study develops models to estimate quality attributes using Laser-light Backscattering (LLBI) and Biospeckle (BSI) Imaging techniques. The results show that GPR models have slightly better prediction accuracies, with LLBI-based GPR models performing better in estimating vitamin C and BSI-based GPR models performing better in estimating moisture content. The study also examines the interaction between sample temperature and biospeckle activity during drying using the BSI monitoring system.
Article
Food Science & Technology
Xiao Huang, Yongbin Li, Xiang Zhou, Jun Wang, Qian Zhang, Xuhai Yang, Lichun Zhu, Zhihua Geng
Summary: The effects of temperature, air velocity, and infrared radiation distances on the drying characteristics and quality of apple slices were investigated. A deep neural network (DNN) was developed to predict changes in moisture ratio and dry basis moisture content of apple slices during drying. DNN outperformed other modeling methods in terms of accuracy and can provide new ideas for rapid detection and intelligent control of apple moisture in the drying process.
Article
Agricultural Engineering
Monalisa Sahoo, Sushree Titikshya, Pramod Aradwad, Vivek Kumar, S. N. Naik
Summary: The study focused on the drying behavior, mathematical modeling, color kinetics, texture, and rehydration ratio of yam slices during the convective hot air drying process. Experimental data was used to fit seven drying kinetics and two color kinetics models, with the Midilli-kucuk model showing the best fit. The results suggest that this model can be used for predicting drying behavior and system design for industrial scale-up of Dioscorea hispida drying.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Green & Sustainable Science & Technology
Zi-Liang Liu, Magdalena Zielinska, Xu-Hai Yang, Xian-Long Yu, Chang Chen, Hui Wang, Jun Wang, Zhongli Pan, Hong-Wei Xiao
Summary: The moisturizing strategy significantly reduced drying time, improved heat transfer efficiency, and enhanced product quality in hot air drying of mushroom slices. A moisturizing time of 30 minutes showed the best performance in terms of energy utilization, resulting in a significant reduction in total energy consumption.
Article
Food Science & Technology
Bianca Cristine Marques, Artemio Plana-Fattori, Denis Flick, Carmen Cecilia Tadini
Summary: This study investigates the evolution of yacon slices during convective drying using experimental and theoretical approaches. The moisture content and dimensions of yacon slices were monitored in a pilot-scale convective dryer. A two-parameter drying kinetics model was used to describe the moisture evolution under controlled temperature and relative humidity conditions. A novel approach for estimating shrinkage effects was proposed. The drying kinetics, shrinkage approach, and the global energy balance were combined to describe the evolution of surface temperature and other yacon slice properties during the drying period.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Khouloud Kraiem, Souhir Abdelmoumen, Samia Ben-Ali
Summary: This study investigated the effects of a non-thermal drying process on the characteristics of dehydrated apple slices. The results showed that after 12 hours of non-thermal drying, the apple slices had a final water content of 12 +/- 1.75%. In comparison, freezing pretreatment reduced the drying time to 7 hours and the water content to 10 +/- 0.5%. Additionally, convective drying at 60 degrees C was performed and compared to the non-thermal drying process.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Food Science & Technology
Arman Arefi, Barbara Sturm, Oliver Hensel, Sharvari Raut
Summary: The convergence of drying technology and Digital Twins allows for continuous monitoring of the drying process. This study introduces cost-effective imaging techniques using LED and BPF to measure moisture content, SSC, and shrinkage during apple slice drying. The results show high accuracy in the prediction of moisture content, SSC, and shrinkage, demonstrating the reliability and robustness of the models. The integration of LED into an experimental dryer further enhances the accuracy of moisture content prediction. This development is a significant step towards the implementation of cost-effective digital twins-based smart dryers.
Article
Engineering, Chemical
Xin Bao, Rui Min, Kai Zhou, Maria Victoria Traffano-Schiffo, Quan Dong, Wei Luo
Summary: This study innovatively developed a vacuum drying device with dehumidification capability, which significantly improved the drying rate and reduced energy consumption for apple slices. Compared to hot air drying and vacuum drying, the novel device showed better preservation of nutrients and color quality.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Engineering, Chemical
Vasile Darie Soproni, Livia Bandici, Alin Cristian Teusdea, Francisc Ioan Hathazi, Mircea Nicolae Arion, Carmen Otilia Molnar, Teodor Leuca, Claudia Andrada Dalea, Simona Ioana Vicas
Summary: This study investigated the effect of microwave treatment on apple slices from two cultivars (Golden Delicious and Idared). The results showed that microwave treatment significantly increased the total phenolic content and enhanced the antioxidant capacity of apple slices. Idared apples had a higher total phenolic content than Golden Delicious apples, and this concentration increased by 56.14% and 48.9%, respectively, after microwave treatment. In terms of antioxidant capacity, Idared apples also outperformed Golden Delicious apples. These findings can be used by the apple processing industry to produce high-quality apple products with a pleasant appearance and retained bioactive compounds.
Article
Food Science & Technology
Gisandro Reis Carvalho, Ricardo Lemos Monteiro, Joao Borges Laurindo, Pedro Esteves Duarte Augusto
Summary: This study investigated the microwave and microwave-vacuum drying of barley malt, finding that microwave drying significantly reduces processing time, while vacuum increases drying rate and reduces product temperature. It was also observed that the drying rate shows an intermediate moisture value when microwave radiation is at its optimum.
INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Chemical
Diana Paola Garcia-Moreira, Harumi Hernandez-Guzman, Neith Pacheco, Juan Carlos Cuevas-Bernardino, Emanuel Herrera-Pool, Ivan Moreno, Erick Cesar Lopez-Vidana
Summary: This study evaluated the effects of different drying methods (natural convection, forced convection, and solar drying) on the color, texture, phenol content, and antioxidant capacity of peach. The experimental data were fitted to five mathematical models, with the Wang and Singh model, Verma et al. model, and Logarithmic model showing the best fit for each respective drying method. The natural convection method resulted in the highest color difference, while the solar drying method produced the highest hardness. Chlorogenic acid content increased with temperature during natural convection drying, while neochlorogenic acid concentration increased with temperature during forced convection drying. For solar drying, higher chlorogenic acid content was observed at 3 m/s, while higher neochlorogenic acid content was observed at 1 m/s.
Article
Food Science & Technology
Leandro Levate Macedo, Jefferson Luiz Gomes Correa, Irineu Petri Junior, Cintia da Silva Araujo, Wallaf Costa Vimercati
Summary: This study aimed to investigate the effects of intermittent microwave drying and heated air drying on the qualitative parameters of fresh and osmotically pretreated strawberries. The results showed that intermittent microwave drying was faster and consumed less energy, while retaining higher levels of anthocyanins, phenolic compounds, and antioxidant capacity compared to heated air drying.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Aleksandra Matys, Magdalena Dadan, Dorota Witrowa-Rajchert, Oleksii Parniakov, Artur Wiktor
Summary: The benefits of using hybrid drying, specifically microwave-convective drying (MW-CD), are increasingly recognized. This study aimed to investigate the impact of pulsed electric field (PEF) pretreatment on MW-CD of apples and their physicochemical properties. The results showed that optimizing specific energy intake and microwave power led to reduced drying time and improved properties of the dried apples.
APPLIED SCIENCES-BASEL
(2022)
Article
Food Science & Technology
Guanyu Zhu, G. S. V. Raghavan, Wanxiu Xu, Yongsheng Pei, Zhenfeng Li
Summary: This paper developed a microwave drying system based on online machine vision, which achieved real-time extraction and measurement of images, weight, and temperature. An image-processing algorithm captured material shrinkage characteristics in real time. Constant-temperature microwave drying experiments were conducted, and the artificial neural network (ANN) and extreme learning machine (ELM) were used to model and predict the moisture content of materials based on the degree of material shrinkage. The results showed that the system and algorithm operated effectively, and ELM outperformed ANN in terms of predictive performance and learning efficiency.
Article
Energy & Fuels
Mostafa Jafarian, Monica Delgado, Mahmoud Omid, Majid Khanali, Mozaffar Mokhtari, Ana Lazaro
Summary: The addition of nanoparticles to paraffin has been proven to be an effective method for enhancing thermophysical properties, with higher mass fractions and smaller nanoparticle sizes resulting in higher densities and thermal energy storage densities in NePCMs. Furthermore, using smaller nanoparticle sizes with mass fractions of 3% and 6% can significantly improve thermal conductivity.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Food Science & Technology
Khaled Mohi-Alden, Mahmoud Omid, Mahmoud Soltani Firouz, Amin Nasiri
Summary: A bell pepper sorting system based on deep convolutional neural network was developed, achieving efficient and fast classification capabilities suitable for industrial applications.
JOURNAL OF FOOD SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Ehsan Savand-Roumi, Seyed Saeid Mohtasebi, Shahin Rafiee, Hossein Ghanavati, Benyamin Khoshnevisan
Summary: This study focused on monitoring a biogas digester for food waste treatment using an e-nose system. The e-nose system and Principal Component Analysis (PCA) were utilized to monitor the gaseous headspace of the digester. By analyzing the e-nose data, the digester's feeding was controlled based on monitoring indices. The results showed that the digester maintained steady-state conditions and good performance, with high organic acid reduction, pH stabilization, and methane production.
Article
Agronomy
Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Amin Taheri-Garavand, Amin Nasiri, Asghar Mahmoudi
Summary: This study proposed a one-dimensional CNN model for sorting pistachio nuts using acoustic emissions signals, which outperformed other comparative methods on a sample of 1600 pistachio nuts. The method provides a smart, non-invasive, and reliable technique for online pistachio nuts sorting systems.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Abotaleb Salehnasab, Mahmoud Bayat, Manouchehr Namiranian, Bagher Khaleghi, Mahmoud Omid, Hafiz Umair Masood Awan, Nadir Al-Ansari, Abolfazl Jaafari
Summary: Estimating the diameter increment of forests is crucial in forest management, and this study explored the application of MLP and ANFIS in developing diameter increment models for Hyrcanian forests. Results showed that ANFIS performed better for beech and chestnut-leaved oak groups, suggesting a strong relationship between modeling techniques and tree species characteristics.
Article
Engineering, Multidisciplinary
Seyed Roohollah Mousavi, Fereydoon Sarmadian, Mahmoud Omid, Patrick Bogaert
Summary: This study focuses on modeling and mapping soil organic carbon in an arid and semi-arid region of Iran at high spatial resolution. The results show that considering soil variables can improve the accuracy of SOC predictions.
Article
Engineering, Chemical
Alireza Nikoutadbir, Asghar Tarmian, Seyed Saeid Mohtasebi, Ali Abdulkhani
Summary: This study investigated the impact of radiofrequency/vacuum drying technology and conventional kiln drying on the emission of volatile organic compounds (VOCs) from ThermoWood. Results showed that VOC emissions were higher in samples dried by radiofrequency/vacuum technology, mainly consisting of terpenes, aldehydes, and alcohols. The emission of some VOCs, such as terpenes, was reduced after thermal modification.
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
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
Engineering, Mechanical
Mohammad Reza Seifi, Reza Alimardani, Seyed Saeid Mohtasebi, Hossein Mobli, Maumoud Soltani Firouz
Summary: This study aimed to improve the adaptability and flexibility of vegetable packaging machines and designed a SCADA-based system for controlling and monitoring the modified atmosphere packaging (MAP) process of fresh vegetables. The results showed that the system can accurately adjust the conveyor speed and sealing jaws temperature, and can be reliably used for MAP of various varieties of fresh vegetables.
ACTA MECHANICA ET AUTOMATICA
(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)
