Sabir Aryani, Rafi Mohamad, Darusman Latifah K
Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia.
Department of Chemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University, Jl Tanjung Kampus IPB Dramaga, Bogor 16680, Indonesia; Halal Science Center, Bogor Agricultural University, Jl Raya Pajajaran Kampus IPB Baranangsiang, Bogor 16151, Indonesia.
Food Chem. 2017 Apr 15;221:1717-1722. doi: 10.1016/j.foodchem.2016.10.114. Epub 2016 Oct 24.
HPLC fingerprint analysis combined with chemometrics was developed to discriminate between the red and the white rice bran grown in Indonesia. The major component in rice bran is γ-oryzanol which consisted of 4 main compounds, namely cycloartenol ferulate, cyclobranol ferulate, campesterol ferulate and β-sitosterol ferulate. Separation of these four compounds along with other compounds was performed using C18 and methanol-acetonitrile with gradient elution system. By using these intensity variations, principal component and discriminant analysis were performed to discriminate the two samples. Discriminant analysis was successfully discriminated the red from the white rice bran with predictive ability of the model showed a satisfactory classification for the test samples. The results of this study indicated that the developed method was suitable as quality control method for rice bran in terms of identification and discrimination of the red and the white rice bran.
采用高效液相色谱指纹图谱分析结合化学计量学方法来鉴别印度尼西亚种植的红米糠和白米糠。米糠中的主要成分是γ-谷维素，它由4种主要化合物组成，即环阿屯醇阿魏酸酯、环菠萝醇阿魏酸酯、菜油甾醇阿魏酸酯和β-谷甾醇阿魏酸酯。使用C18柱和甲醇-乙腈梯度洗脱系统对这四种化合物以及其他化合物进行分离。利用这些强度变化，进行主成分分析和判别分析以区分这两个样品。判别分析成功地区分了红米糠和白米糠，模型的预测能力对测试样品显示出令人满意的分类效果。本研究结果表明，所建立的方法在鉴别红米糠和白米糠方面适合作为米糠的质量控制方法。
