AIMC Topic: Phenols

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Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach.

Scientific reports Jul 2, 2025
This study aims to determine the optimum extraction conditions that maximize the biological activities of Agaricus campestris and Agaricus bisporus species. In the study, a total of 64 extraction experiments were carried out at different temperatures...
Neural Networks, Computer Artificial Intelligence Algorithms Humans A549 Cells Cholinesterase Inhibitors Agaricus Antioxidants Cell Proliferation Phenols
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A Machine Learning-Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects.

Environmental health perspectives Jun 18, 2025
BACKGROUND: Plastic-containing medical devices are commonly used in critical care units and other patient care settings. Patients are often exposed to xenobiotic agents that are leached out from plastic-containing medical devices, including bisphenol...
Humans Male Infant Cluster Analysis Machine Learning Female Infant, Newborn Heart Defects, Congenital Bisphenol A Compounds Phenols Environmental Pollutants Environmental Exposure Equipment and Supplies Benzhydryl Compounds Phthalic Acids
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Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel.

Scientific reports Jun 3, 2025
The peel of pomegranate (Punica granatum) is rich in bioactive compounds, specifically phenolic compounds and tannin compounds. However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of trad...
Fruit Tannins Microwaves Plant Extracts Phenols Pomegranate Machine Learning Antioxidants
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Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon.

Scientific reports May 30, 2025
The harvesting time of pomegranates is crucial for maximizing their health benefits and market value. However, traditional methods often fail to consider the intricate interactions between environmental conditions and fruit maturity. This study is th...
Food Quality Lebanon Machine Learning Phenols Fruit
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Extract optimization and biological activities of Otidea onotica using Artificial Neural Network-Genetic Algorithm and response surface methodology techniques.

BMC biotechnology Mar 28, 2025
In this study, the biological activities of Otidea onotica were investigated using two optimization methods, Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA). The extracts were tested for phenolic content, a...
Plant Extracts Cell Proliferation Phenols A549 Cells Cholinesterase Inhibitors Algorithms Cell Line, Tumor Antioxidants Humans Neural Networks, Computer
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Comparative analysis and investigation of ultrasonication on juice yield and bioactive compounds of kinnow fruit using RSM and ANN models.

Scientific reports Mar 21, 2025
Ultrasonication (US) is a promising non-thermal technique widely applied in the food sector for improving the extraction process and preserving nutrients. Kinnow fruits have yields of 40-60% juice; the rest of the parts are discarded as waste. The st...
Neural Networks, Computer Sonication Fruit Fruit and Vegetable Juices Food Handling Antioxidants Phenols Ascorbic Acid
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Antioxidant activity of Mentha piperita phenolics on arsenic induced oxidative stress, biochemical alterations, and cyto-genotoxicity in fish, Channa punctatus.

Fish physiology and biochemistry Mar 20, 2025
The study aims to investigate the synergistic antioxidant effects of the phenolics present in Mentha piperita (MP) against arsenic trioxide-induced oxidative stress, biochemical alteration, and cyto-genotoxicity in the fish, Channa punctatus. The phe...
Fishes Mentha piperita Arsenic Trioxide Phenols Arsenic Perciformes Channa punctata Animals Oxidative Stress Antioxidants Plant Extracts Water Pollutants, Chemical
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Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration.

Scientific reports Mar 15, 2025
In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic A...
Cholinesterase Inhibitors Juglans Butyrylcholinesterase Genetic Algorithms A549 Cells Tandem Mass Spectrometry Acetylcholinesterase Cell Proliferation Phenols Humans Neural Networks, Computer Algorithms Antioxidants Plant Extracts
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Foodomics approaches: New insights in phenolic compounds analysis.

Food research international (Ottawa, Ont.) Mar 13, 2025
Fruits, vegetables, and plant-based foods contain several bioactive substances such as phenolic compounds (PCs), that are plant secondary metabolites with attributed health properties. The study of the metabolic pathways of PCs, including those relat...
Vegetables Metabolomics Phenols Fruit Proteomics Food Analysis
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Construction of an Automated Removal Robot for the Natural Drying of Cacao Beans.

Sensors (Basel, Switzerland) Feb 28, 2025
Cacao producers often obtain low-quality beans due to the poor manual drying process. This study proposes the construction of an automated prototype robot for the removal during natural drying of cacao beans at Cooperativa Agraria Allima Cacao Ltd., ...
Desiccation Robotics Automation Seeds Cacao Phenols
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