Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages

Dea Tio Mareta , Umar Santoso , Supriyadi , Widiastuti Setyaningsih
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Abstract

The purple-flowered senggani (Melastoma malabathricum) is known to contain significant phenolic compounds with strong antioxidant potential, making it a valuable candidate for natural antioxidant sources. To enhance the extraction of these bioactive compounds, ultrasound-assisted extraction (UAE) was selected due to its efficiency in disrupting cell walls, accelerating compound release, and offering an environmentally friendly alternative to conventional methods. This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). Key variables such as temperature, pulse-duty cycle, solvent composition, and solvent-to-sample ratio were optimized using response surface methodology. The optimal UAE conditions were determined as 70 °C, a pulse-duty cycle of 0.6 s⁻¹, 40 % methanol in water, and a sample-to-solvent ratio of 1:10, with a 15-min extraction time. Method validation demonstrated high precision, with coefficients of variation for repeatability (n = 9) at 0.44 % for TPC and 0.37 % for TAC and intermediate precision (n = 3 × 3) at 1.54 % and 2.61 %, respectively. The method achieved 100 % accuracy over two extraction cycles. Among the developmental stages, the bud stage (S1) exhibited the highest TPC (445.79 ± 4.63 mg GAE g⁻¹) and TAC (53.02 ± 0.43 %). Five phenolic compounds were analyzed, including four identified compounds—rutin, quercetin 3-glucoside, trifolin, and astragalin—and one unidentified flavonoid compound. This optimized UAE method supports detailed phenolic profiling of senggani flowers, offering insights into their potential for natural antioxidant applications.
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超声辅助提取紫藤花酚类物质及抗氧化分析:发育阶段的影响
众所周知,紫花桑甘尼(Melastoma malabathicum)含有大量具有强抗氧化潜力的酚类化合物,使其成为天然抗氧化剂来源的宝贵候选物。为了提高这些生物活性化合物的提取,选择了超声辅助提取(UAE),因为它可以有效地破坏细胞壁,加速化合物释放,并且是传统方法的一种环保替代方法。本研究旨在优化UAE法分析花发育不同阶段对总酚含量(TPC)和总抗氧化能力(TAC)的影响。使用响应面法对温度、脉冲占空比、溶剂组成和溶剂样品比等关键变量进行了优化。最佳条件为:70°C, 0.6 s的脉冲占空比,40%的甲醇水,1:10的料液比,15 min的萃取时间。方法验证精度高,TPC重复性变异系数(n = 9)为0.44%,TAC为0.37%,中间精密度(n = 3 × 3)分别为1.54%和2.61%。该方法在两个提取周期内达到100%的准确度。在发育阶段中,芽期(S1)表现出最高的TPC(445.79±4.63 mg GAE g⁻)和TAC(53.02±0.43%)。分析了5种酚类化合物,包括4种已鉴定的化合物——芦丁、槲皮素3-葡萄糖苷、三叶草苷和黄芪黄酮,以及1种未鉴定的类黄酮化合物。这种优化的UAE方法支持对桑加尼花进行详细的酚类分析,从而深入了解其天然抗氧化剂应用的潜力。
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来源期刊
Food chemistry advances
Food chemistry advances Analytical Chemistry, Organic Chemistry, Chemistry (General), Molecular Biology
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
99 days
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