Optimization of ultrasonic-assisted extraction of phenolic compounds from Clinacanthus nutans using ionic liquid (ILs) binary solvent: Application of Peleg's model and response surface methodology.

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-07-03 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0326141
Tong Yen Suan, Saiful Irwan Zubairi, Ruth Naomi Manuel, Zalifah Mohd Kasim, Nur Huda-Faujan
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Abstract

Clinacanthus nutans (Sabah snake grass) is widely recognized for its pharmacological properties, particularly its high phenolic content and antioxidant activity. However, the optimization of its ultrasonic-assisted extraction (UAE) remains underexplored. This study aims to enhance the extraction efficiency of phenolic compounds from Clinacanthus nutans leaves using ionic liquid (IL) binary solvents, with optimization based on Peleg's model and Response Surface Methodology (RSM). Peleg's model was used to determine the optimal extraction time, while RSM with a Central Composite Rotatable Design (CCRD) was applied to evaluate the effects of ultrasonic frequency (40-60 kHz) and the ratio of ILs to water (2:8, 5:5 and 8:2) on total phenolic content (TPC), DPPH radical scavenging activity, and Ferric Reducing Antioxidant Power (FRAP). The experimental results were statistically analyzed using ANOVA, model fitting, and desirability functions. Peleg's model indicated that the predicted maximum total phenolic content (TPC) of 42.556 ± 0.0003 mg GAE/g was achieved at an ultrasonic frequency of 50 kHz within 3 hours, making this duration as the predictive model benchmark for further optimization. The optimal extraction conditions were identified as an ultrasonic frequency of 60 kHz and an IL-to-water ratio of 2:8, yielding a maximum TPC of 0.01 ± 7.97 x 10-5 mg GAE/g, DPPH antioxidant activity of 95.08 ± 0.57%, and FRAP antioxidant capacity of 6.31 ± 0.10 mg AEAC/g. Peleg's model inadequately predicted the best exhaustive extraction time prior to RSM leading to a low TPC value throughout the optimization process while maintaining high in antioxidant efficacy. However, the use of IL binary solvents significantly enhanced the release of phenolic compounds compared to conventional solvents, demonstrating their potential as a green extraction alternative. This study highlights the effectiveness of ultrasonic-assisted extraction combined with IL binary solvents for maximizing the recovery of bioactive compounds from Clinacanthus nutans leaves. The optimized extraction method can be beneficial for pharmaceutical, nutraceutical, and functional food industries. Future research should focus on identifying specific phenolic compounds using High-Performance Liquid Chromatography (HPLC), combined kinetic and diffusion equilibrium model and further refining process optimization parameters (e.g., longer concoction duration) to enhance yield efficiency.

离子液体二元溶剂超声辅助提取枸杞酚类化合物的优化:Peleg模型和响应面法的应用
沙巴蛇草(Clinacanthus nutans)因其药理特性而被广泛认可,特别是其高酚含量和抗氧化活性。然而,其超声辅助提取(UAE)的优化仍有待探索。本研究以离子液体(IL)二元溶剂为萃取剂,通过Peleg模型和响应面法(RSM)对萃取效果进行优化,以提高山棘叶中酚类化合物的提取率。采用Peleg模型确定最佳提取时间,采用中心复合可旋转设计RSM (CCRD)评价超声频率(40 ~ 60 kHz)和油水比(2:8、5:5和8:2)对总酚含量(TPC)、DPPH自由基清除能力和铁还原抗氧化能力(FRAP)的影响。实验结果采用方差分析、模型拟合和期望函数进行统计分析。Peleg’s模型表明,在超声频率为50 kHz时,在3小时内预测总酚含量(TPC)达到42.556±0.0003 mg GAE/g,并将此时间作为进一步优化的预测模型基准。最佳提取条件为超声频率为60 kHz, il -water比为2:8,最大TPC为0.01±7.97 × 10-5 mg GAE/g, DPPH抗氧化能力为95.08±0.57%,FRAP抗氧化能力为6.31±0.10 mg AEAC/g。Peleg的模型没有充分预测RSM之前的最佳穷萃时间,导致在整个优化过程中TPC值较低,同时保持较高的抗氧化效果。然而,与传统溶剂相比,使用IL二元溶剂显著增强了酚类化合物的释放,显示了它们作为绿色提取替代方案的潜力。本研究强调了超声辅助提取结合IL二元溶剂对最大限度地回收山棘叶中生物活性物质的有效性。优化后的提取方法可用于制药、营养保健和功能食品等行业。未来的研究应侧重于利用高效液相色谱(HPLC)、动力学与扩散相结合的平衡模型鉴定特定的酚类化合物,并进一步优化工艺参数(如延长调制时间)以提高收率。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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