Application of Ai Technology in the Extraction and Isolation of Phytoconstituents From Herbal Medicine.
Year: 2025
Type: article
Abstract: The extraction and isolation of phytoconstituents from herbal remedies is being revolutionized by the application of Artificial Intelligence (AI) in the field of phytochemistry. Despite their effectiveness, traditional methods are frequently labor-intensive, time-consuming, and produce inconsistent results. Optimizing extraction conditions, identifying target chemicals, and expediting separation procedures are all made possible by artificial intelligence (AI) technology, which includes machine learning algorithms and predictive modeling. AI can forecast the best solvent systems, temperatures, and extraction times to optimize yield and purity by examining vast datasets of plant profiles and extraction parameters. Additionally, chemometric methods and AI-driven spectroscopic analysis improve the precision of molecule identification and characterisation. This application promotes the creation of standardized herbal formulations with reliable therapeutic efficacy in addition to increasing efficiency. An important step toward more accurate, cost-effective, and environmentally friendly methods of herbal medication discovery and development is the use of AI into phytoconstituent research. Keywords :Extraction,Artificial Intelligence,time-consuming,chemometric,cost-effective.
Author: Vaishnav Sawant, Manish Ahire , Aniket Chavan , Nandkishor Pagar , Kalyani Deore , Sima Khemnar , Mrs .Sancheti V.P
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7086870919
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