Title:Statistically Designed Extraction of Herbs Using Ultrasound Waves: A Review
Volume: 27
Issue: 34
Author(s): Ashwani Arya, Rubal Chahal, Arun Nanda, Deepak Kaushik, May Bin-Jumah, Md. Habibur Rahman, Mohamed M. Abdel-Daim*Vineet Mittal*
Affiliation:
- Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522,Egypt
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana,India
Keywords:
RSM (Response Surface Methodology), phytoconstituents, CCD (Central Composite Design), BBD (Box Behnken Design), ultrasound,
optimization, extraction.
Abstract:
Background: Extraction is the foremost step to isolate the natural constituents from a medicinal
plant and leads the process of development of herbal formulation from bench to bed.
Introduction: In the field of extraction, the optimization approach helps in achieving better yield and quality
where a response of concern is determined or influenced by various variables. This review aimed at congregating
the application of different statistical designs (CCD/BBD) to optimize the Ultrasound assisted extraction
(UAE) parameters for the recovery of various plant actives belonging to different categories.
Methodology: The literature published during the last decade in the various reputed databases (Web of Science,
Pubmed, Scopus) was reviewed and compiled to reveal the role of response surface methodology in optimizing
the influential parameters involved in the ultrasound assisted extraction of herbs.
Conclusion: From the present investigations, it can be concluded that the different variables, such as sonication
power, temperature, time, solute to solvent ratio are generally optimized in UAE of herbs. Moreover, it has also
been evidenced from the review of published data that the flavonoids/phenolic acids (>50%) leads the race for
the extraction of plants using sound waves. It can be said that the statistically designed UAE has a vast prospective
in bringing about a green mutiny in the herbal drug industry and the modeling of various parameters shall
be able to absolutely build up a complete drug innovation course (bench to bed).
