Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology , Universitas Gadjah Mada , Jalan Flora , Bulaksumur, Yogyakarta 55281 , Indonesia.
Department of Analytical Chemistry, Faculty of Sciences, IVAGRO , University of Cádiz , Campus de Excelencia Internacional Agroalimentario (CeiA3), Campus del Rio San Pedro , 11510 Puerto Real , Cádiz , Spain.
J Agric Food Chem. 2019 Mar 13;67(10):3018-3027. doi: 10.1021/acs.jafc.8b05430. Epub 2019 Mar 1.
There are several phenolic compounds in rice grains providing benefits for human health. The concentration of phenolic compounds in rice is strongly affected by the polishing steps during rice production. A new sensitive ultraperformance liquid chromatography-ultraviolet-visible spectroscopy method with a photodiode array detection protocol has been developed and validated for the quantitation of phenolic compounds in rice grains. Several working variables and two different columns were evaluated. Finally, a less than 3 min analysis time was developed to achieve enough resolution for the simultaneous determination of the 20 most common phenolic compounds in rice. The analytical properties for the separation method produced an adequate sensitivity for all phenolic compounds in the regular range for phenolics in rice, 0.5-100 mg L ( R > 0.997), with high precisions for both repeatability and intermediate precisions (coefficients of variation less than 0.4 and 2.5% for the retention time and area of the peaks, respectively).
稻米中含有多种有益于人体健康的酚类化合物。稻米中酚类化合物的浓度受稻米生产过程中抛光步骤的强烈影响。本研究建立并验证了一种新的、灵敏的超高效液相色谱-紫外可见分光光度法，该方法采用光电二极管阵列检测方案，可用于定量测定稻米中的酚类化合物。本研究评估了多个工作变量和两种不同的色谱柱。最终，开发出了不到 3 分钟的分析时间，以实现足够的分辨率，从而同时测定稻米中 20 种最常见的酚类化合物。该分离方法的分析性能为稻米中酚类化合物的常规范围内（0.5-100mg/L）的所有酚类化合物提供了足够的灵敏度（相关系数均大于 0.997），对于保留时间和峰面积的重复性和中间精密度（变异系数分别小于 0.4%和 2.5%）具有较高的精度。
