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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Ultrasonic assisted medicinal plant extraction: The review

Authors: Aung, Thandar; Das, Sreemoy Kanti;

Ultrasonic assisted medicinal plant extraction: The review

Abstract

The extraction of bioactive compounds from medicinal plants plays a pivotal role in the development of pharmaceutical, nutraceutical, and cosmetic products. Conventional extraction methods, although widely used, often suffer from limitations such as prolonged extraction times, high solvent consumption, and degradation of thermolabile compounds. Ultrasonic-assisted extraction (UAE) has emerged as a green, efficient, and scalable alternative, leveraging acoustic cavitation to enhance mass transfer and disrupt plant cell walls. This review comprehensively discusses the fundamental principles of UAE, including the role of ultrasonic frequency, power intensity, solvent type, and extraction duration. Comparative analysis with traditional techniques demonstrates UAE’s superiority in terms of yield, time efficiency, and energy conservation. Recent advancements in reactor design, hybrid systems, and statistical optimization (e.g., response surface methodology) are highlighted. Limitations related to equipment scale-up, process reproducibility, and bioactive stability are critically addressed. Finally, future directions include the use of green solvents and AI-driven modeling for industrial-scale optimization. This review provides researchers and industry stakeholders with an in-depth understanding of UAE as a sustainable, high-performance technology for the extraction of medicinal plant bioactive.

Related Organizations
Keywords

Cavitation, Green Extraction Technologies, Medicinal Plants, Phytochemicals, Bioactive Compounds, Ultrasonic-Assisted Extraction (UAE)

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold