Guangfeng Zeng, Zhiyuan Wang, Yingye Hou, Bo Ding, Lu Wang, Wenrui Chen, Ju Li, Jianjun Xie
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引用次数: 0
Abstract
Soybeans have the characteristics of balanced amino acid species and high nutritional value and served as the main oil crop in the world. In order to investigate the potential of triacylglycerols (TAGs) for tracing geographic origin of imported soybeans in China, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) was used to profile TAGs in soybean oils. Orthogonal partial least-squares discrimination analysis(OPLS-DA) was applied to establish identification model based on the acquired MALDI-MS spectra to trace the soybean origin of four typical origins (Argentina, the USA, Brazil, and Canada). The models were verified through 40 samples of the test set, and the comprehensive identification accuracy rate of the OPLS-DA models reached 100%. The method and model in this study were accurate and reliable, and could accurately identify the geographic origin of soybean.
期刊介绍：
Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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