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中国精品科技期刊2020
雷菁,万智巍,鞠民. 基于形态计量学和CCA分析的杂粮淀粉粒识别与鉴定[J]. 食品工业科技,2021,42(14):289−295. doi: 10.13386/j.issn1002-0306.2021020059.
引用本文: 雷菁,万智巍,鞠民. 基于形态计量学和CCA分析的杂粮淀粉粒识别与鉴定[J]. 食品工业科技,2021,42(14):289−295. doi: 10.13386/j.issn1002-0306.2021020059.
LEI Jing, WAN Zhiwei, JU Min. Recognition and Identification of Coarse Grain Starch Based on Morphometric and Canonical Correspondence Analysis [J]. Science and Technology of Food Industry, 2021, 42(14): 289−295. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021020059.
Citation: LEI Jing, WAN Zhiwei, JU Min. Recognition and Identification of Coarse Grain Starch Based on Morphometric and Canonical Correspondence Analysis [J]. Science and Technology of Food Industry, 2021, 42(14): 289−295. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021020059.

基于形态计量学和CCA分析的杂粮淀粉粒识别与鉴定

Recognition and Identification of Coarse Grain Starch Based on Morphometric and Canonical Correspondence Analysis

  • 摘要: 利用形态计量学参数指标,基于相关多元统计分析方法,对中国常见8种杂粮淀粉粒形态进行研究。结果表明,不同类型的杂粮淀粉粒在整体形貌、粒径大小等方面具有一定的差异。高粱、薏米、小米和荞麦的淀粉粒为多边形,粒径均值分别为18.931、13.499、13.482和7.194 μm;豌豆、绿豆和扁豆淀粉粒为不规则椭圆形,粒径均值为24.008、23.895和21.001 μm;燕麦淀粉粒为半椭圆形,粒径均值为4.861 μm。谷类杂粮的多边形淀粉粒轮廓曲线具有较为明显的折线和锯齿,其小波谱闭合区表现较为复杂;豆类淀粉粒轮廓线具有波动曲线特征,其小波谱闭合区较为规律。典范对应分析(CCA)结果显示不同影响因子之间具有一定的差异性,代表粒径均值、粒径标准差、Hu不变矩3、挤压面和Hu不变矩1等特征的因子箭头长度最长,是影响淀粉粒形态差异的主要因素。CCA分析可以为不同淀粉粒的鉴定提供影响因子选择标准。

     

    Abstract: In this paper, morphometric parameters and multivariate statistical analysis had been used to study the starch grain morphology of 8 common coarse grain starch in China. The results showed that different types of coarse grain starch granules exhibit certain differences in overall morphology and particle size. The starch graunles of sorghum, barley, millet and buckwheat were polygonal, with average diameters of 18.931, 13.499, 13.482 and 7.194 μm. Starch grains of pea, mung bean and lentil were irregularly elliptical, with average particle sizes of 24.008, 23.895 and 21.001 μm. Oat starch grains were semi-elliptical, with an average particle size of 4.861 μm. The contour curve of the polygonal starch grains of cereals had obvious broken lines and sawtooth, and the closed area of wavelet spectrum was more complicated. The contour line of bean starch grains had the characteristic of fluctuating curve, and the closed area of wavelet spectrum was more regular. The canonical correspondence analysis results showed that there were certain differences between different influencing factors. The factors representing the average particle size, standard deviation of particle size, Hu invariant moment 3, extrusion surface and Hu invariant moment 1 had the longest arrow length maybe the main factors leading to the difference of starch granule morphology. CCA could provide selection criteria of influencing factors for the identification of different starch granules.

     

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