普通大麦
营养物
矿物
农学
可追溯性
偏最小二乘回归
线性判别分析
土壤养分
凯氏定氮法
禾本科
环境科学
矿物学
植物
化学
生物
数学
氮气
生态学
统计
有机化学
作者
Tangwei Zhang,Qian Wang,LI Ji-rong,Shanshan Zhao,Mengjie Qie,Xuelian Wu,Yang Bai,Yan Zhao
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2020-12-28
卷期号:346: 128928-128928
被引量:46
标识
DOI:10.1016/j.foodchem.2020.128928
摘要
The potential of traceability by nutrients and mineral elements in highland barley (Hordeum vulgare L.) from five cities in Tibet were investigated. The results showed that there were significant differences in nutrients and mineral elements in highland barley from different regions (P < 0.05). The original classification accuracy of linear discriminant analysis (LDA) was 78.3%, and the discrimination accuracy of training set samples based on partial least-squares discriminant analysis (PLS-DA) model was over 65%. The results of correlation analysis show that five elements (Fe, Zn, K, Mn and P) in highland barley are related to the concentration of elements in soil, while three elements (Ca, Cu and Mg) in highland barley have no obvious correlation with soil, because the special natural environment in Tibet affecting the growth of highland barley. This indicates that the origin traceability of highland barley can be achieved by measuring its nutrients and mineral elements.
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