Zhao Haiyan, Yang Qingli
College of Food Science and Engineering, Qingdao Agricultural University, No. 700, Changcheng Road, Qingdao 266109, People's Republic of China.
College of Food Science and Engineering, Qingdao Agricultural University, No. 700, Changcheng Road, Qingdao 266109, People's Republic of China.
Food Chem. 2022 Jul 15;382:132385. doi: 10.1016/j.foodchem.2022.132385. Epub 2022 Feb 8.
The objective of this study was to find out the variation mechanism of minerals in peanut for improving the discrimination power of multi-element models of geographical origin. Effects of sub-region, variety, and their interaction on 22 elements in peanut were studied based on field experiments. And the ability of the elements closely related to sub-region to identify the origins of peanuts from the same and different years was examined. In addition, the relationships between geographical markers in peanut and in provenance soil or rainwater were further analyzed. The results showed that sub-region, variety, and their interaction had significant effects on variation of elements in peanut and the elements were classified according to the factor. Na, Mg, Ca, V, Mn, Ni, Zn, Sr, Rh, and Cd were selected as the geographical markers and extremely significantly correlated with soil and rainwater. It was efficient to discriminate peanuts based on ten geographical markers.
本研究的目的是找出花生中矿物质的变异机制,以提高地理来源多元素模型的判别能力。基于田间试验,研究了亚区域、品种及其交互作用对花生中22种元素的影响。考察了与亚区域密切相关的元素识别同一年和不同年份花生产地的能力。此外,进一步分析了花生中的地理标记与产地土壤或雨水之间的关系。结果表明,亚区域、品种及其交互作用对花生中元素的变异有显著影响,且元素按该因素分类。选择Na、Mg、Ca、V、Mn、Ni、Zn、Sr、Rh和Cd作为地理标记,它们与土壤和雨水极显著相关。基于10个地理标记鉴别花生是有效的。