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Establishment of a quality evaluation system of sweet potato starch using multivariate statistics

直链淀粉 主成分分析 支链淀粉 淀粉 数学 马铃薯淀粉 食品科学 相关系数 统计 化学
作者
Chen Ma,Yi Zhang,Ruixue Yue,Wenting Zhang,Jian Sun,Zhimin Ma,Fuxiang Niu,Hong Zhu,Yunfeng Liu
出处
期刊:Frontiers in Nutrition [Frontiers Media]
卷期号:9: 1025061-1025061 被引量:8
标识
DOI:10.3389/fnut.2022.1025061
摘要

Background The quality of starch greatly affects the quality of processed products. There are many indexes for quality evaluation of starch. Currently, amylose content is considered the chief index in the quality evaluation of sweet potato starch, which is entirely based on tradition (experience) method. The existing evaluation standards lack quality evaluation standards for sweet potato starch. Purpose To screen reasonable evaluation indexes of sweet potato starch, and establish a scientific and systematic evaluation system of sweet potato starch. Methods Twenty-two components and quality indexes of sweet potato starch were measured. The evaluation indexes of sweet potato starch were screened based on a statistical description, correlation analysis, and principal component analysis (PCA), and a quality evaluation model of sweet potato starch for brewing was established based on analytic hierarchy process. The calculated values of the model were verified by linear fitting with standardized sensory evaluation values. Results The coefficient of variation of total starch content (%), amylose content (%), amylopectin content (%), L * value, Δ E , water absorption capacity (g/g), and pasting temperature was less than 6%, while the coefficient of variation of other indexes was larger. In addition, there were different degrees of correlation among the indexes. PCA was used to identify interrelated variables, and the first six principal components together account for 82.26% of the total variability. Then, seven core indexes — setback (cp), rate of regression (%), ratio of amylose to amylopectin (%), gel strength (kgf/cm 2 ), a * value, ash content (%), and solubility (%) — were selected from the six principal components according to the load value of the rotation matrix. These seven core indexes replaced the original 22 indexes to simplify the evaluation of sweet potato starch. The quality evaluation model of sweet potato starch was Y = 0.034X 2 + 0.321X 6 + 0.141X 8 + 0.08X 17 + 0.023X 19 + 0.08X 21 + 0.321X 22 . Conclusion The comprehensive evaluation system of sweet potato starch can accurately predict the quality of sweet potato starch. The development of such a system is of great significance to the post-harvest processing of high-starch sweet potato and the breeding of high-quality and high-starch sweet potato varieties.
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