Article
Food Science & Technology
Boukraa Djamila, Kiari Fatima Zohra, Kerdal Lahcene, Reguig Fatima Zohra
Summary: The study found that shade drying and oven drying had the highest yield of essential oil, while the best quercetin level was obtained with oven-drying at 50 degrees Celsius. The highest total polyphenols was seen for the extract with fresh plants, while the highest total flavonoids and tannins was found in dried plants.
Article
Immunology
Lucia Elaine de Oliveira Braga, Gisele Goulart da Silva, Ilza Maria de Oliveira Sousa, Ellen Cristina Souza de Oliveira, Michele Pedroza Jorge, Karin Maia Monteiro, Tamires Carolina Sedano, Mary Ann Foglio, Ana Lucia Tasca Gois Ruiz
Summary: The study evaluated the therapeutic potential of Mentha aquatica essential oil to treat gastrointestinal disorders. The essential oil showed a strong gastroprotective effect on peptic ulcers, reducing gastric secretion and acidity. It also exhibited anti-inflammatory properties in a model of induced gastrointestinal lesions.
INFLAMMOPHARMACOLOGY
(2022)
Article
Food Science & Technology
V. Suresh Kannan, T. V. Arjunan, S. Vijayan
Summary: In this study, a solid desiccant-based pressure-swing adsorption (PSA) dehumidifier was developed to continuously deliver air at 0.1% relative humidity. Mint leaves were used to study drying characteristics under different flow rates of dehumidified air, with results showing that initial moisture content can be reduced to a safe storage level in 360 minutes at a volume flow rate of 0.160 m(3)/min. Additionally, the retention of ascorbic acid in dried mint leaves increased with higher volume flow rates of dry air, with a maximum of 70.11% achieved at 0.160 m(3)/min.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2021)
Article
Horticulture
Charlotte Hubert, Saskia Tsiaparas, Liane Kahlert, Katharina Luhmer, Marcel Dieter Moll, Maike Passon, Matthias Wuest, Andreas Schieber, Ralf Pude
Summary: This study investigated the effects of two different postharvest processes on the content and composition of essential oils in three different Mentha genotypes. The results showed that the postharvest processing treatments did not significantly affect the essential oil content and composition, but genotype selection and harvest time had a significant impact.
Article
Materials Science, Ceramics
Chinna Bathula, Iqra Rabani, Sankar Sekar, Hae-Kyung Youi, Ji-Yeon Choy, Abhijit Kadam, Nabeen K. Shretha, Young-Soo Seo, Hyun-Seok Kim
Summary: A green synthesis approach using extract of Mentha Aquatica leaves was utilized to successfully prepare TiO2 nanoparticles, further modified to TiO2@Carbon. The TiO2@Carbon displayed enhanced photocatalytic activity compared to pristine TiO2, and showed potential for repeated use over multiple cycles, making it a cost-effective and environmentally friendly photocatalyst.
CERAMICS INTERNATIONAL
(2021)
Article
Environmental Sciences
Rajasree Shanmuganathan, Quynh Hoang Le, Sandhanasamy Devanesan, Shaban R. M. Sayed, V. Devi Rajeswari, Xinghui Liu, G. K. Jhanani
Summary: In ancient times, herbal plants were highly valued for their medicinal uses, with mint being commonly used in traditional medicine. This study focuses on using mint leaf extract to synthesize safe calcium oxide (CaO) nanoparticles and evaluating their potential therapeutic applications. Various techniques such as UV-visible spectrophotometry, FTIR, SEM, DLS, and XRD were employed to examine the characteristics of the extracted CaO nanoparticles. Protein denaturation and nitric oxide scavenging assays, as well as MTT assays, were conducted to assess the therapeutic properties of the mint leaf mediated CaO nanoparticles. Additionally, the ability of these nanoparticles to act as photocatalytic agents was examined by studying their degradation of commonly used azo dyes in textile industries.
ENVIRONMENTAL RESEARCH
(2023)
Article
Agricultural Engineering
Amin Taheri-Garavand, Hasan Mumivand, Dimitrios Fanourakis, Soodabeh Fatahi, Shirin Taghipour
Summary: The potential of artificial neural networks in assessing key herb quality aspects was evaluated by considering two drying processing factors, temperature and time. By employing different drying periods and temperatures, changes in herb quality were induced and accurately estimated using an ANN model. This technique proves to be very promising for non-invasive estimations of critical herb quality features.
INDUSTRIAL CROPS AND PRODUCTS
(2021)
Article
Environmental Sciences
M. Masroor A. Khan, Nausheen Khanam, Moin Uddin, Rakesh Kumar Mishra, Rehan Khan
Summary: The utilization of nanotechnology in regulating the growth of mint plants through nano-menthol application significantly improves the growth condition and essential oil yield of mint plants.
Article
Food Science & Technology
Hui-Ling Guo, Ying Chen, Wei Xu, Meng-Tian Xu, Yong Sun, Xue-Cheng Wang, Xiao-Ya Wang, Jing Luo, Hua Zhang, Yao-Kun Xiong
Summary: This study evaluated the drying kinetics of Mentha haplocalyx leaves using hot air thin layer drying and investigated the effects of drying temperatures on textural properties and sensory quality. The Midilli model was found to be the most suitable model for the drying process, with effective moisture diffusivity and activation energy determined as 7.51 x 10(-9)-3.03 x 10(-8) m(2)/s and 57.98 KJ/moL, respectively. Changes in cellular membrane structures and volatile compound profiles were observed during the drying process at different temperatures. The drying process at 35°C was found to significantly improve the final quality of the dried leaves by maintaining flavor properties.
Article
Horticulture
Soghra Akbarzadeh, Mohammad Reza Morshedloo, Farhad Behtash, Hasan Mumivand, Filippo Maggi
Summary: Grapefruit mint is an important medicinal plant with applications in various industries. Drought stress and BABA application significantly affected the biochemical characteristics and essential oil profile of grapefruit mint. Moderate drought stress and BABA spraying at 1.6 to 2.4 mM showed the highest increase in essential oil content and composition.
Article
Plant Sciences
Shruti Chaturvedi, Rakesh Pandey
Summary: The study demonstrated that using bio-sources to enhance medicinal plant Mentha arvensis L. can significantly improve yield and quality, while also showing antibacterial activity.
JOURNAL OF PLANT GROWTH REGULATION
(2021)
Article
Food Science & Technology
Sumate Tantratian, Warawut Krusong, Orawan Siriwetwut
Summary: Four extraction methods were used to extract phenolic compounds from Syzygium cumini seeds, and microwave-assisted extraction showed the highest yield. The mixture of SCS extract and acetic acid demonstrated effective microbial control on fresh leaf vegetables.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Medicinal
Marta Ferrati, Eleonora Spinozzi, Cecilia Baldassarri, Filippo Maggi, Roman Pavela, Angelo Canale, Riccardo Petrelli, Loredana Cappellacci
Summary: In recent years, there has been a focus on developing essential oil-based biopesticides as alternatives to traditional chemical products in the agrochemical industries. The genus Mentha, which includes various species with diverse biological activities, has shown promise as a source of pesticidal agents. This study specifically investigated the insecticidal activity of the essential oil from a rare chemotype of Mentha aquatica, which demonstrated high efficacy against multiple insect species. These findings suggest the potential use of this plant or its major volatile compounds as novel ingredients in botanical insecticides and pesticides.
Article
Thermodynamics
Kanchit Rongchai, Titikan Somboon, Suparerk Charmongkolpradit
Summary: Studying the drying characteristics of moringa leaves, it was found that Aghabashlo's model can effectively describe the drying behavior. Drying air temperature and speed were identified as significant factors.
CASE STUDIES IN THERMAL ENGINEERING
(2022)
Article
Plant Sciences
Chih-Ting Chang, Yu-Hsin Chen, Lie-Fen Shyur
Summary: This study demonstrates that the combination of mint essential oil (EO) and its major constituents, limonene and carvone (L + C), can prevent cutaneous side effects and skin carcinogenesis caused by BRAF inhibitors. This combination works by reprogramming the macrophage cell population and inhibiting keratinocyte activity.
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
Agriculture, Multidisciplinary
Amin Nasiri, Jonathan Yoder, Yang Zhao, Shawn Hawkins, Maria Prado, Hao Gan
Summary: In this study, a pose estimation-based model was developed to identify lameness in broilers for the first time. The model utilized a deep convolutional neural network and Long Short-Term Memory (LSTM) model to classify broilers based on video footages. The results showed that the model achieved high classification accuracy and could serve as an automatic and non-invasive tool for lameness assessment in poultry farms.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
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
Shahin Rafiee, Zeinab Shabani, Benyamin Khoshnevisan, Barat Ghobadian, Amin Nasiri
Summary: This study investigated the effects of different BED blends on engine performance and emissions. It was found that ethanol content affected engine vibration and CO emissions, while biodiesel content influenced hydrocarbon and NOx emissions. A novel combination of ANFIS modeling and HBMO optimization method was proposed to find the optimal BED blend.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Parsa Haidari, Ali Hajiahmad, Ali Jafari, Amin Nasiri
Summary: This article presents a method for investigating photovoltaic powerhouses using a deep learning algorithm. Common defects in photovoltaic powerhouses were studied, and the prepared network was evaluated and compared using thermal image datasets.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Computer Science, Hardware & Architecture
Amin Nasiri, Mahmoud Omid, Amin Taheri-Garavand, Abdolabbas Jafari
Summary: This study utilizes deep learning techniques to achieve pixel-wise semantic segmentation of sugar beet, weed, and soil using the U-Net architecture. By training the model with a properly distributed image dataset and employing a custom loss function, segmentation accuracy is improved.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2022)
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
Engineering, Environmental
Hasan Mumivand, Zeinab Izadi, Fatemeh Amirizadeh, Filippo Maggi, Mohamad Reza Morshedloo
Summary: The application of biochar can reduce heavy metal accumulation in peppermint plants irrigated with waste water, improve plant growth and yield, and enhance the quality and quantity of essential oil. Waste water irrigation increased chlorophyll, carotenoids, anthocyanins, photosynthetic rate, transpiration, stomatal conductance, relative water content, and crop yield. Biochar application decreased the accumulation of cadmium and lead in plants.
JOURNAL OF HAZARDOUS MATERIALS
(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, Dairy & Animal Science
Amin Nasiri, Ahmad Amirivojdan, Yang Zhao, Hao Gan
Summary: Using automated approaches to investigate feeding behavior in broilers allows for accurate and non-invasive data collection, real-time monitoring, and advanced data analysis. This study aimed to estimate individual broilers' feeding time through an automated approach. The developed algorithm achieved an overall accuracy of 87.3% in estimating the feeding time.
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)
