Optimising certain factors influencing the process of extracting polyphenolic compounds from areca nuts (Areca catechu L.) using response surface methodology

Ba Tho Nguyen, Minh Ngoc Truong, Thi Huyen Le, Thi Lien Nguyen
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Abstract

Polyphenols are a group of natural compounds found in plants with antibacterial and antioxidant properties, offering significant potential applications in pharmaceutical and agricultural production. To extract and obtain a high content of polyphenolic compounds from areca nuts (Areca catechu L.), the study utilised a surface response methodology to assess the impact of various technical factors such as solvent concentration (X1), solvent-to-material ratio (v/w) (X2), and soaking time (hours) (X3) on the yield of polyphenolic compounds (Y) extracted from areca nuts. The study’s results yielded a model describing the extraction of polyphenolic compounds from areca nuts using the objective function Y = 80.64 + 3.10X1 - 1.27X3 - 6.00X12 - 3.66X22 - 5.07X32. Based on the objective function, the highest polyphenol content obtained was 80.72 mg GAE/g of raw material under the following conditions: ethanol solvent concentration of 55%, solvent-to-material ratio (v/w) of 35/1, and soaking time of 2 hours. The experimental polyphenol content results showed no statistically significant differences compared to the model-predicted outcomes. These results serve as a basis for the polyphenol extraction process from areca nuts with antibacterial applications in agriculture and medicine.
利用响应面法优化槟榔果中多酚类物质提取工艺的影响因素
多酚是一类存在于植物中的具有抗菌和抗氧化特性的天然化合物,在医药和农业生产中具有重要的潜在应用价值。为了从槟榔果中提取并获得高含量的多酚类化合物,本研究利用表面响应法评估了溶剂浓度(X1)、溶剂料比(v/w) (X2)和浸泡时间(X3)等各种工艺因素对槟榔果中多酚类化合物(Y)提取率的影响。该研究的结果产生了一个描述从槟榔果中提取多酚化合物的模型,该模型使用目标函数Y = 80.64 + 3.10X1 - 1.27X3 - 6.00X12 - 3.66X22 - 5.07X32。根据目标函数,在乙醇溶剂浓度为55%、料液比(v/w)为35/1、浸泡时间为2小时的条件下,得到的原料多酚含量最高为80.72 mg GAE/g。实验结果显示,与模型预测结果相比,多酚含量没有统计学上的显著差异。这些结果为槟榔果多酚提取工艺在农业和医药上的抗菌应用提供了依据。
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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