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Published on: October 11, 2018
Biological activities of Hypericum spectabile extract optimized using artificial neural network combined with genetic
Ayşenur Gürgen1, Mustafa Sevindik2,3, Tetiana Krupodorova4
1Department of Industrial Engineering, Faculty of Engineering and Natural Sciences, Osmaniye Korkut Ata University, Osmaniye, 80000, Turkey.
Optimizing Hypericum spectabile extraction using artificial neural networks (ANN) and genetic algorithms (GA) maximized antioxidant content. The study identified optimal conditions for enhanced yield and biological activity, confirming ANN-GA
Area of Science:
- Phytochemistry
- Computational Chemistry
- Pharmacognosy
Background:
- Optimizing extraction processes is crucial for maximizing yield and efficiency while minimizing environmental impact.
- Hypericum spectabile is a plant species with potential medicinal properties that require efficient extraction methods.
- Artificial intelligence techniques offer powerful tools for optimizing complex experimental parameters.
Purpose of the Study:
- To optimize the extraction conditions for Hypericum spectabile to maximize total antioxidant status (TAS).
- To determine the optimal extraction parameters including temperature, time, and concentration.
- To analyze the biological activity of the extract obtained under optimized conditions.
Main Methods:
- Utilized an artificial neural network (ANN) combined with a genetic algorithm (GA) for optimization.
- Investigated extraction temperatures (30-60 °C), times (4-10 h), and concentrations (0.25-2 mg/mL).
- Evaluated the biological activity including total phenolic content (TPC), total flavonoid content (TFC), and enzyme inhibition (AChE, BChE).
Main Results:
- The ANN-GA model achieved high accuracy with MAPE of 0.643%, MSE of 0.004, and R of 0.996.
- Optimal extraction conditions were determined as 59.391 °C, 8.841 h, and 1.951 mg/mL.
- The optimized extract showed significant antioxidant (9.306 mmol/L TAS), phenolic (109.34 mg/g TPC), and flavonoid (148.34 mg/g TFC) content, along with notable enzyme inhibition and antiproliferative activity.
Conclusions:
- The integration of ANN-GA is a successful strategy for optimizing Hypericum spectabile extraction parameters.
- The optimized extract exhibits significant biological activities, including antioxidant, anti-inflammatory, and antiproliferative effects.
- LC-MS/MS analysis confirmed the presence of beneficial phenolic compounds such as gallic acid, caffeic acid, quercetin, and kaempferol in the optimized extract.
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