Akerberg A K, Liljeberg H G, Granfeldt Y E, Drews A W, Bj-orck I M
Department of Applied Nutrition and Food Chemistry, Center for Chemistry and Chemical Engineering, Lund University, S-221 00 Lund, Sweden.
J Nutr. 1998 Mar;128(3):651-60. doi: 10.1093/jn/128.3.651.
The purpose of this work was to develop a method for measurement of the major forms of resistant starch (RS) in foods. The analytical procedure was chosen to mimic physiologic conditions, and included chewing as a prestep before incubation with pepsin, pancreatin and amyloglucosidase. The undigestible polysaccharides, including RS, were recovered by ethanol precipitation and subsequent filtration. RS was analyzed as total starch in the filter residue. The residues were also used for gravimetric determination of dietary fiber after correcting for remaining protein, ash and RS. The potentially available starch fraction was determined from analysis of glucose in the filtrate. The foods included were prepared to resemble products for which RS figures were available from in vivo measurements, and/or from analysis with other current in vitro methods. For six of these foods, and for three additional starchy materials, RS figures were compared with in vivo and/or in vitro data for identical products. The pooled standard deviation for the suggested RS method was 2.9%. A high correlation was obtained with in vivo figures from the literature for 19 realistic foods (r = 0.97; y = 0.77x + 0.45). After correction for RS, dietary fiber figures corresponded well with conventional gravimetric dietary fiber analysis for 14 starchy foods (r = 0.97). It is concluded that the procedure described here provides a convenient way to estimate RS content of realistic foods, allowing parallel determination of the potentially available starch fraction and dietary fiber.
这项工作的目的是开发一种测量食品中抗性淀粉(RS)主要形式的方法。所选择的分析程序模拟生理条件,包括在与胃蛋白酶、胰酶和淀粉葡糖苷酶孵育之前进行咀嚼这一预处理步骤。通过乙醇沉淀和后续过滤回收包括RS在内的不可消化多糖。将RS作为滤渣中的总淀粉进行分析。在对残留蛋白质、灰分和RS进行校正后,这些残渣还用于膳食纤维的重量测定。从滤液中的葡萄糖分析确定潜在可利用淀粉部分。所包含的食品制备得类似于可从体内测量和/或其他现有体外方法分析中获得RS数据的产品。对于其中六种食品以及另外三种含淀粉材料,将RS数据与相同产品的体内和/或体外数据进行了比较。所建议的RS方法的合并标准偏差为2.9%。与19种实际食品的文献体内数据获得了高度相关性(r = 0.97;y = 0.77x + 0.45)。在对RS进行校正后,14种含淀粉食品的膳食纤维数据与传统重量法膳食纤维分析结果非常吻合(r = 0.97)。得出的结论是,此处描述的程序提供了一种估计实际食品中RS含量的便捷方法,能够同时测定潜在可利用淀粉部分和膳食纤维。