Justus Liebig University of Giessen, Institute of Nutritional Science, Chair of Food Science, Interdisciplinary Research Center, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
Justus Liebig University of Giessen, Institute of Nutritional Science, Chair of Food Science, Interdisciplinary Research Center, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany.
J Chromatogr A. 2018 Feb 23;1538:75-85. doi: 10.1016/j.chroma.2018.01.032.
Colored wheat varieties and crosses were analyzed to figure out their anthocyanin profiles, and thus, their potential as health-related food. After method development, the obtained 94 anthocyanin fingerprints allowed the clear differentiation of the blue aleurone and purple pericarp genotypes as well as their breeding lines. The method was trimmed so that the complete analysis of the whole grain flour including sample preparation of up to 20 samples on one plate took less than 3 h (<9 min per sample) and total costs including sample preparation were <1.0 Euro/sample. Sample preparation of the complex wheat matrix was reduced to a minimum (only acidified methanol extraction of the ground whole wheat grain). Separation was well achieved on amino phases with a mixture of ethyl acetate, 2-butanone, water and formic acid. It was superior to the separation on either normal or reversed phases and more robust with regard to intrinsic pH variances of the sample extracts. Pattern recognition of anthocyanins was simply performed by visual detection (the image), a key feature of high-performance thin-layer chromatography. Wheat varieties and crosses with higher anthocyanin contents were easily selectable, and thus, successfully made out. Prominent anthocyanin zones were characterized by electrospray ionization mass spectrometry. Their sugar moiety was characterized via methanolysis and compared with the sugars available freely in the whole wheat grain. The developed profiling is a fast and efficient screening tool with option for quantification or identification on the same HPTLC plate.
对彩色小麦品种和杂交种进行了分析,以了解其花色苷图谱,从而评估其作为与健康相关食品的潜力。在方法开发后,获得的 94 种花色苷指纹图谱能够清晰地区分蓝色糊粉层和紫色果皮基因型及其杂交后代。该方法经过精简,使得整个全谷物面粉的完整分析(包括在一个板上最多分析 20 个样品的制备)耗时不到 3 小时(<9 分钟/个样品),总分析成本(包括样品制备)低于 1.0 欧元/个样品。复杂小麦基质的样品制备被简化到最低限度(仅需对研磨的全小麦颗粒进行酸化甲醇提取)。在氨基相上,通过乙酸乙酯、2-丁酮、水和甲酸的混合物实现了良好的分离。与正相或反相相比,它具有更高的分离效率,并且对样品提取物的固有 pH 变化具有更强的稳健性。花色苷的模式识别仅通过视觉检测(图像)即可轻松完成,这是高效薄层色谱法的一个关键特征。花色苷含量较高的小麦品种和杂交种很容易被选择出来。突出的花色苷区域通过电喷雾电离质谱进行了表征。通过甲醇解对其糖部分进行了表征,并与全谷物中自由存在的糖进行了比较。开发的分析方法是一种快速有效的筛选工具,可在同一 HPTLC 板上进行定量或鉴定。