New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model

Abstract

Chamomile is one of the most consumed medicinal plants worldwide. Various chamomile preparations are widely used in various branches of both traditional and modern pharmacy. However, in order to obtain an extract with a high content of the desired components, it is necessary to optimize key extraction parameters. In the present study, optimization of process parameters was performed using the artificial neural networks (ANN) model using a solid-to-solvent ratio, microwave power and time as inputs, while the outputs were the yield of the total phenolic compounds (TPC). Optimized extraction conditions were as follows: a solid-to-solvent ratio of 1:80, microwave power of 400 W, extraction time of 30 min. ANN predicted the content of the total phenolic compounds, which was later experimentally confirmed. The extract obtained under optimal conditions was characterized by rich composition and high biological activity. Additionally, chamomile extract showed promising properties as growth media for probiotics. The study could make a valuable scientific contribution to the application of modern statistical designs and modelling to improve extraction techniques.

Extractions of aerial parts of Hippomarathrum scabrum with conventional and green methodologies: Chemical profiling, antioxidant, enzyme inhibition, and anti‐cancer effects

“…The ratio of plant material and solvent was 1:20. In the same ratio, mixed plant material and solvent were subjected to the action of microwave irradiation in an oven, the schematic representation of which is given in paper by [10]. From the group of traditional techniques, the following were used: maceration (MAC) and Soxhlet extraction (SOX).…”

The Extraction, Characterization and Biological Activity of Natural Products

“…Chamomile is a highly utilized medicinal plant worldwide, with extensive applications in both traditional and modern medicine. Cvetanović Kljakić et al (2023) [6] employed an artificial neural network (ANN) model to optimize the parameters of the green extraction process to obtain phenolic extracts with a high content of required components. Under the optimized conditions (400 W, 30 min, and 1:80), the Chamomile extract exhibited a high content of total phenols (55.21 mg CAE/g) and total flavonoids (44.98 mg/g).…”