The efficient extraction of natural compounds in the food and agricultural industries continues to be one of the key areas of focus for scientists. An international research team, including Istanbul Technical University and Prof. Dr. Didem Saloğlu Dertli, has utilized advanced artificial intelligence models to optimize the extraction of tannin compounds from black pepper (Piper nigrum L.) using the microwave-assisted extraction (MAE) method.
A total of 30 different experimental conditions were tested in the microwave-assisted extraction (MAE) system, analyzing ways to maximize tannin yield through advanced algorithms. This technique, which enables lower-cost, faster, and more efficient tannin extraction compared to traditional methods, holds great potential for the food, pharmaceutical, and cosmetic industries.
It is suggested that this method could be used in the future for extracting various botanical compounds and developing next-generation food and pharmaceutical formulations enriched with natural antioxidants. Future studies aim to integrate different machine learning algorithms and assess the industrial-scale applicability of the process. Scientists foresee that these advanced predictive models could revolutionize the extraction of natural compounds across a broader spectrum.
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