AIMC Topic: Antioxidants

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Mn,Ce-CDs-Loaded MIL-53(Fe) Nanozymes Multisubstrate Sensor Array Integrated with Multiple Machine Learning Complementary Strategy for Highly Reliable Antioxidant Discrimination and Determination.

Analytical chemistry
Accurate antioxidant detection remains crucial for biomedical and food applications, although conventional methods face persistent challenges including structural similarity interference, instrument dependency, and unreliable detection outcomes. To a...

The Redox Properties of Polyphenols and Their Role in ROS Generation for Biomedical Applications.

Angewandte Chemie (International ed. in English)
Polyphenols, particularly catechols, represent a significant class of compounds characterized by their versatile physicochemical and biological properties, sourced from both natural origins and industrial by-products. This review highlights their cri...

Artificial intelligence-assisted optimization of extraction enhances the biological activity of Phylloporia ribis.

Scientific reports
This research focuses on enhancing the extraction efficiency of Phylloporia ribis and assessing its biological functions. Key parameters including extraction temperature, duration, and ethanol-to-water ratio were optimized through both Response Surfa...

Multidimensional component quantitative analysis: Exploring commercial mango cultivars in China.

Food chemistry
Different mango cultivars exhibit distinct characteristics in food quality and nutraceutical value, influencing both market potential and consumer preference. We hypothesized that genotype-driven variation in metabolites underpins these quality diffe...

Evaluation of antioxidant, anticholinesterase and antiproliferative potential of Artemisia herba-alba by artificial intelligence-assisted extraction optimization.

Scientific reports
In this study, in order to maximize the biological activity of Artemisia herba-alba Asso, extraction conditions were optimized by two different methods: Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA). A to...

Comparative machine learning strategies for improving antioxidant properties and aroma quality in fermented mung bean milkby Lactobacillus plantarum PC4.

International journal of food microbiology
This study compares least squares support vector machine (LSSVM) and artificial neural network (ANN) models, integrated with the NSGA-II algorithm, to optimize the fermentation of mung bean milk by Lactobacillus plantarum PC4. Given its superior pred...

Sustainable and novel approaches for bioactive compound extraction: Development of hydrodynamic cavitation and coupled machine learning-spline techniques for Ascophyllum nodosum and Fucus vesiculosus.

Food chemistry
Ascophyllum nodosum and Fucus vesiculosus brown seaweeds are rich in polyphenols, phlorotannins, proteins, and antioxidants, valuable in the food, pharmaceutical, and cosmetic industries. This study compares hydrodynamic cavitation (HC) and conventio...

Kinetic and Mechanistic Discrepancies of Single/Dual-Atom Nanozymes Drive a Triple-Channel Sensing Array for Machine Learning-Assisted Antioxidant Discrimination.

Analytical chemistry
Current colorimetric sensing arrays for antioxidant detection often struggle with discrimination due to cross-reactive signals from individual nanozymes. These signals are typically modulated by external factors such as pH or chromogenic substrates, ...

Advances and Outlook of Tea Polyphenol Chemistry: A Review.

Journal of agricultural and food chemistry
Tea is one of the most widely consumed beverages globally, whereas tea polyphenols are always receiving the most attention in scientific research. In past decades, the polyphenols, their derivatives, and oligomers and polymers which possess potential...

Exploring the role of oxidative stress in retinal vein occlusion: an updated and comprehensive review on the pathophysiology and treatment perspectives.

International ophthalmology
INTRODUCTION: Retinal vein occlusion (RVO) represents a prevalent cause of vision impairment within retinal vascular diseases. Although hypoperfusion and inflammation are recognized pathogenic contributors, emerging evidence highlights oxidative stre...