Department of Plant Sciences and Crop Developmental Centre, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, S7N5A8, Canada.
Carbohydr Polym. 2017 Feb 20;158:112-123. doi: 10.1016/j.carbpol.2016.11.059. Epub 2016 Nov 21.
Starch granule size, shape and structure of amylopectin are species specific and influence starch properties and end-use of starch. Amylopectin glucan chain structure was used to predict the starch botanical sources. Mathematical probability for accumulation of small glucan chains DP 6-10 reveal exponential fit curve with maximum R in smallest granule size starches (Chlamydomonas, quinoa, buckwheat). Cereal and cassava showed R of 0.81-0.96 while in pulses and tubers it was less than 0.7. The amylopectin small glucan chains form a unique 'finger print region' that identified starch botanical source. Differential amylopectin chain length distribution (APCLD) graphs between DP 6-80 of all species from Chlamydomonas starch distinguished five structural groups that clustered the 31 analyzed starches into four major patterns. APCLD analyses of amylopectin combined with characteristic pattern of small linear DP (6-9) glucan chains predicted the starch botanical source.
淀粉颗粒大小、形状和支链淀粉结构具有物种特异性，影响淀粉特性和用途。支链淀粉葡聚糖链结构可用于预测淀粉的植物来源。小葡聚糖链 DP 6-10 的积累的数学概率揭示了最小颗粒大小淀粉（衣藻、藜麦、荞麦）的指数拟合曲线，其最大 R 值。谷物和木薯的 R 值为 0.81-0.96，而豆类和块茎的 R 值小于 0.7。支链淀粉的小葡聚糖链形成了一个独特的“指纹区域”，可用于鉴定淀粉的植物来源。衣藻淀粉中所有物种的 DP 6-80 之间的支链淀粉链长度分布（APCLD）图谱区分了五个结构组，将 31 种分析的淀粉聚类为四种主要模式。支链淀粉的 APCLD 分析结合 DP（6-9）的特征性小线性葡聚糖链模式预测了淀粉的植物来源。
