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超声提取草药的统计学设计:综述。

Statistically Designed Extraction of Herbs Using Ultrasound Waves: A Review.

机构信息

Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.

Biology Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

出版信息

Curr Pharm Des. 2021;27(34):3638-3655. doi: 10.2174/1381612827666210222114441.

DOI:10.2174/1381612827666210222114441
PMID:33618641
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).

摘要

背景

提取是从药用植物中分离天然成分的首要步骤,是将草药制剂从实验室开发到临床应用的过程。

简介

在提取领域,优化方法有助于获得更好的产量和质量,其中关注的反应由各种变量决定或影响。本综述旨在汇集不同统计设计(CCD/BBD)的应用,以优化超声辅助提取(UAE)参数,以从不同类别中回收各种植物活性成分。

方法

对过去十年在各个知名数据库(Web of Science、Pubmed、Scopus)中发表的文献进行了回顾和汇编,以揭示响应面法在优化超声辅助提取草药中涉及的有影响的参数方面的作用。

结论

从目前的研究可以得出结论,在草药的超声提取中,通常会优化超声功率、温度、时间、固液比等不同变量。此外,从已发表数据的综述中也可以看出,黄酮类化合物/酚酸(>50%)在利用声波提取植物方面处于领先地位。可以说,经过统计学设计的 UAE 在引发草药药物行业的绿色革命方面具有广阔的前景,对各种参数的建模将能够完全建立一个完整的药物创新过程(从实验室到临床)。

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