Advances in Natural Product Extraction: Established and Emerging Technologies

Area of Science:

• Natural Product Chemistry
• Drug Discovery
• Analytical Chemistry

Background:

• Natural product research is vital for drug discovery, offering diverse molecular scaffolds.
• Technological advancements in separation, spectroscopy, and bioassays have revitalized the field.
• Nature remains a primary source of novel bioactive compounds from various organisms.

Purpose of the Study:

• To review recent innovations in natural product extraction and isolation methodologies.
• To highlight advancements in efficiency, selectivity, and analytical throughput.
• To emphasize the role of AI and machine learning in natural product research.

Main Methods:

• Exploration of green and designer solvent systems.
• Application of pressurized, ultrasound-assisted, and supercritical fluid extraction techniques.
• Integration of artificial intelligence and machine learning for optimization and dereplication.

Main Results:

• Innovations have significantly reduced processing times and improved compound recovery.
• AI and machine learning tools enhance solvent selection, extraction optimization, and metabolite identification.
• Advanced strategies expand the scope of detectable metabolites in complex samples.

Conclusions:

• Recent advancements in extraction and isolation are crucial for efficient natural product research.
• AI-driven approaches and novel solvent systems are transforming the field.
• These innovations accelerate the discovery of novel drug candidates from natural sources.