Chemometric study for the performances of deep eutectic solvents during the recovery of high-added-value substances from Moringa oleifera leaves: Principal component analysis.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-12-01 Epub Date: 2023-03-06 DOI:10.1002/pca.3220
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Abstract

Introduction: Moringa oleifera is a plant with high antioxidant content in its leaves, flowers and seeds. It attracts the attention of researchers with the effect of its nutritional and medical advantages.

Objective: The purpose of the current study is to propose a deep eutectic solvent (DES)-based ultrasound-assisted extraction of bioactive substances from M. oleifera leaves by the application of a chemometric study.

Methodology: A total of 18 different choline chloride-based DESs were prepared by using several hydrogen bond donors (glucose, sucrose, glycerol, ethylene glycol, urea and dimethyl urea) with various molar ratios (1:1, 1:2 and 2:1) by addition of diluents (water and 50% methanol) or alone. In order to decide the best DES combination, principal component analysis (PCA) was applied. The response surface method (RSM) was used as statistical experimental design approach through the Box-Behnken design.

Results: The best phenolic (TPC), flavonoid (TFC) and antioxidant activity yields of M. oleifera leaf extract were found to be 19.102 mg-GAE, 10.47 mg-CE and 24.404 mg-TEAC per gram dried leaf under the optimal conditions (50% water content, 20% amplitude, 15 min time). The model fitting has been also found reliable depending on the statistical indicators such as p-value (<0.0001), coefficients of determination (R2 = 0.9827, 0.9916 and 0.9864) and root mean square error (RMSE = 1.0562, 2.4656 and 0.7713).

Conclusions: A chemometric study through PCA was carried out to determine the similarities and differences between the solvent groups, and the ethylene glycol-based DES (1:2, molar ratio) with the addition of water showed the best performance.

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从油辣木叶中回收高附加值物质过程中深共晶溶剂性能的化学计量学研究:主成分分析。
简介Moringa oleifera是一种叶片、花朵和种子中抗氧化剂含量很高的植物。它的营养和医疗优势吸引了研究人员的关注:本研究旨在提出一种基于深共晶溶剂(DES)的超声波辅助提取油橄榄叶中生物活性物质的方法:方法:使用多种氢键供体(葡萄糖、蔗糖、甘油、乙二醇、尿素和二甲基尿素),以不同的摩尔比(1:1、1:2 和 2:1),通过添加稀释剂(水和 50% 甲醇)或单独稀释,制备了 18 种不同的氯化胆碱基 DES。为了确定最佳的 DES 组合,采用了主成分分析法(PCA)。通过方框-贝肯设计,采用响应面法(RSM)作为统计实验设计方法:结果:在最佳条件下(含水量 50%、振幅 20%、时间 15 分钟),油橄榄叶提取物的最佳酚(TPC)、类黄酮(TFC)和抗氧化活性产量分别为每克干叶 19.102 毫克-GAE、10.47 毫克-CE 和 24.404 毫克-TEAC。根据 P 值(2 = 0.9827、0.9916 和 0.9864)和均方根误差(RMSE = 1.0562、2.4656 和 0.7713)等统计指标,模型拟合也被认为是可靠的:通过 PCA 进行了化学计量学研究,以确定溶剂组之间的异同,其中以乙二醇为基础的 DES(摩尔比为 1:2)加水后表现最佳。
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Exploring the impact of choline chloride based deep eutectic solvents’ presence in the recovery process of phenolic antioxidants from Moringa oleifera leaves: A multivariate optimization study and principal component analysis
IF 5.3 2区 化学Journal of Molecular LiquidsPub Date : 2024-07-02 DOI: 10.1016/j.molliq.2024.125412
Ebru Kurtulbaş , İrem Toprakçı , Keziban Kübra Güngör , Ferhan Balci-Torun , Selin Şahin
来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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