Technical Center of Qinhuangdao Customs, Qinhuangdao, China.
Collage of Food Science and Technology, Hebei Agricultural University, Baoding, China.
J Sci Food Agric. 2021 Jul;101(9):3795-3803. doi: 10.1002/jsfa.11012. Epub 2021 Jan 1.
With increasing attention being paid to food authenticity, the geographic origin of food has become a topic of interest for both consumers and producers. As far as we know, there are relatively few studies on the origin traceability of concentrated apple juice. The most commonly used methods of origin tracing research is by using stable isotopes and mineral elements technology, because these indicators are directly related to local geographical environment.
In this study, a discriminant model was established by determining the content of the stable isotopes (δ C, δ O) and 13 mineral elements (B, Mn, Co, Ni, Cu, Sr, V, Ba, Fe, Mg, Na, Ca and Cr) in concentrated apple juice. Linear discriminant analysis (LDA), principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed for regional classification of samples. After data conversion and correlation analysis, spatial and quantitative prediction models were established using multiple linear regressions. Finally, the experimental results showed that the eight key variables(δ C, δ O, B, Ca, Mg, Cu, Sr and Na) selected by the analysis can be used to further characterize the production area.
The results showed that the carbon and oxygen isotopes combined with certain mineral elements can be used to indicate the origin of concentrated apple juice. © 2020 Society of Chemical Industry.
随着人们对食品真实性的关注度不断提高,食品的地理来源已成为消费者和生产者关注的话题。据我们所知,关于浓缩苹果汁产地溯源的研究相对较少。目前,用于产地溯源研究的最常用方法是利用稳定同位素和矿物元素技术,因为这些指标与当地的地理环境直接相关。
本研究通过测定浓缩苹果汁中稳定同位素(δ¹³C、δ¹⁸O)和 13 种矿物元素(B、Mn、Co、Ni、Cu、Sr、V、Ba、Fe、Mg、Na、Ca 和 Cr)的含量,建立了判别模型。采用线性判别分析(LDA)、主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)对样品进行区域分类。经过数据转换和相关性分析,采用多元线性回归建立了空间和定量预测模型。最后,实验结果表明,分析选择的 8 个关键变量(δ¹³C、δ¹⁸O、B、Ca、Mg、Cu、Sr 和 Na)可进一步用于浓缩苹果汁产地的特征描述。
结果表明,碳氧同位素与某些矿物元素结合可用于指示浓缩苹果汁的产地。 © 2020 英国化学学会。