Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology, Gadjah Mada University, Jalan Flora, Bulaksumur, Sleman, 55281 Yogyakarta, Indonesia.
Department of Analytical Chemistry, Faculty of Sciences, IVAGRO, University of Cadiz, Campus de Excelencia Internacional Agroalimentario (CeiA3), Campus del Rio San Pedro, 11510, Puerto Real, Cadiz, Spain.
Food Chem. 2019 Aug 1;288:221-227. doi: 10.1016/j.foodchem.2019.02.107. Epub 2019 Mar 2.
Fifteen phenolic compounds were determined in rice grains by ultrasound assisted extraction and ultra-performance liquid chromatography with photodiode array detection. Primarily, an UAE method has been developed and validated for the extraction of phenolics from rice grains. For the optimization, a Box-Behnken Design based on six factors including extraction temperature (10-70 °C), solvent composition (0-50% methanol in water), cycle (0.2-0.7 s), ultrasound amplitude (30-70%), and solvent to sample ratio (2.5:1 to 5:1) was employed. Multi-response optimization (MRO) was performed to develop a simultaneous extraction method of 15 phenolics. The optimal UAE conditions were: extraction temperature 45 °C, time 25 min, cycle 0.4 s, ultrasound amplitude 47%, solvent composition 80% methanol in water at pH 4.25, and sample to solvent ratio 1:5. Linearity, LODs, LOQs, precision and recovery were determined. In addition, the method was successfully applied to analyse a number of rice samples with different varieties.
采用超声辅助提取和带光电二极管阵列检测的超高效液相色谱法测定了大米中的 15 种酚类化合物。首先，开发并验证了一种从大米中提取酚类物质的 UAE 方法。为了进行优化，采用基于六个因素的 Box-Behnken 设计，包括提取温度（10-70°C）、溶剂组成（0-50%甲醇在水中）、循环（0.2-0.7 s）、超声幅度（30-70%）和溶剂与样品的比例（2.5:1 至 5:1）。采用多响应优化（MRO）来开发同时提取 15 种酚类化合物的方法。最佳 UAE 条件为：提取温度 45°C，时间 25 分钟，循环 0.4 s，超声幅度 47%，溶剂组成为 pH 4.25 时 80%甲醇的水溶液，样品与溶剂的比例为 1:5。测定了线性、LODs、LOQs、精密度和回收率。此外，该方法成功地应用于分析了不同品种的多个大米样品。
