Identification of the best plant ratios for a polyherbal tea mix to obtain optimum antioxidant, antidiabetic, and β-glucuronidase inhibition activities

IF 1.7 Q3 INTEGRATIVE & COMPLEMENTARY MEDICINE
P. Gayani I. Dias , R.A. Upul J. Marapana , R.M. Udaya S.K. Rathnayaka , S.M.D. Sadhana Gayathri , N.G. Darshana Anuradha , Thilini C. Kananke , R.M. Kapila T. Rathnayaka , M.G.A. Namal Perera , Rasangani S. Sabaragamuwa , M. Nirmali Wickramaratne
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Abstract

Background

The influence of plant types and their ratios on the effectiveness of polyherbal formulations is a crucial yet underexplored area of research.

Objectives

This study aimed to identify the optimal ratios of Phylanthus debilis (PW), Osbeckia octrandra (HB), and Artrocarpus heterophyllus (WR) leaf powders for a polyherbal tea to achieve the best functional properties.

Material and methods

A three-level factorial design was used to examine the combined effect of three independent variables (PW, WR, and HB) on antioxidant, antidiabetic, and β-glucuronidase inhibitory activities. The variables were coded at three levels (−1, 0, +1), resulting in 10 experimental runs, with responses tested in triplicates.

Results

The highest antioxidant activity was observed in mixture 4 (PW: WR: HB = 4:1:1) for most assays. P. debilis exhibited the lowest IC50 values for α-glucosidase and β-glucuronidase inhibition, while O. octandra showed the lowest IC50 value for α-amylase inhibition compared to the mixtures. ANOVA indicated that the models and model terms of the mixture design are statistically significant (P ≤ 0.05) and the responses are well-fitted to the models (R2 = 0.8484 to 0.9993). The aqueous extractability of the polyherbal mixtures was higher than that of the individual herbs.

Conclusions

These study revealed that polyherbal formulations exhibit both synergistic and antagonistic effects on therapeutic efficacy. Mixtures 4 (PW: WR: HB = 4:1:1), 5 (PW: HB = 1:1), and 7 (PW: WR: HB = 1:1:1) were screened as the polyherbal mixtures having optimum values for selected functional properties. These combinations, along with individual herbal extracts, will undergo further testing to develop a tri-herbal tea formulation.
确定多草药茶混合物的最佳植物配比,以获得最佳抗氧化、抗糖尿病和β-葡萄糖醛酸酶抑制活性
背景植物类型及其配比对多草药配方功效的影响是一个重要的研究领域,但尚未得到充分的探索。本研究旨在确定多草药茶中Pyylanthus debilis(PW)、Osbeckia octrandra(HB)和Artrocarpus heterophyllus(WR)叶粉的最佳配比,以实现最佳的功能特性。材料与方法采用三水平因子设计,考察三个自变量(PW、WR 和 HB)对抗氧化、抗糖尿病和β-葡萄糖醛酸酶抑制活性的综合影响。结果在大多数试验中,混合物 4(PW: WR: HB = 4:1:1)的抗氧化活性最高。与混合物相比,P. debilis 对α-葡萄糖苷酶和β-葡萄糖醛酸酶抑制作用的 IC50 值最低,而 O. octandra 对α-淀粉酶抑制作用的 IC50 值最低。方差分析表明,混合物设计的模型和模型项具有统计学意义(P ≤ 0.05),反应与模型拟合良好(R2 = 0.8484 至 0.9993)。多草药混合物的水萃取率高于单个草药的水萃取率。经筛选,混合物 4(PW:WR:HB = 4:1:1)、5(PW:HB = 1:1)和 7(PW:WR:HB = 1:1:1)是在选定功能特性方面具有最佳值的多草药混合物。这些组合以及单个草药提取物将接受进一步测试,以开发三草药茶配方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Ayurveda and Integrative Medicine
Journal of Ayurveda and Integrative Medicine INTEGRATIVE & COMPLEMENTARY MEDICINE-
CiteScore
4.70
自引率
12.50%
发文量
136
审稿时长
30 weeks
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