Authenticating the Geographical Origin of Jingbai Pear in Northern China by Multiple Stable Isotope and Elemental Analysis
文献类型： 外文期刊
作者： Li, An 1 ; Zhao, Duoyong 2 ; Li, Jiali 3 ; Qian, Jianping 3 ; Chen, Qiusheng 4 ; Qian, Xun 5 ; Yang, Xusheng 1 ; Zhao, Jie 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Qual Stand & Testing Technol, Beijing 100097, Peoples R China
2.Xinjiang Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Urumqi 830091, Peoples R China
3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
4.Tianjin Acad Agr Sci, Inst Agroprod Safety & Nutr, Tianjin 300381, Peoples R China
5.Hebei Acad Agr & Forestry Sci, Inst Biotechnol & Food Sci, Shijiazhuang 050031, Peoples R China
关键词： stable isotope; multielement; pear; geographical origin; chemometrics
期刊名称：FOODS （ 影响因子：5.1； 五年影响因子：5.6 ）
ISSN：
年卷期： 2024 年 13 卷 21 期
页码：
收录情况： SCI
摘要： The Jingbai pear is one of the best pear species in China with high quality and nutrition values which are closely linked to its geographical origin. With the purpose of discriminating the PGI Mentougou Jingbai pear from three other producing regions, the stable isotope ratios and elemental profiles of the pears (n = 52) and the corresponding soils and groundwater were determined using isotope ratio mass spectrometry (IRMS) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The results revealed that delta 15N, delta 18OJ, and Li were significantly different (p < 0.05) in samples from different regions, which indicated their potential to be used in the geographical origin classification of the Jingbai pear. The nitrogen isotopic values of the pear pulp were positively correlated with the delta 15N value and nitrogen content of the corresponding soils, whilst the B, Na, K, Cr, and Cd contents of the pear pulps were positively correlated with their corresponding soils. Orthogonal partial least squares discriminant analysis (OPLS-DA) was performed in combination with analysis of the stable isotopes and elemental profiles, making it possible to distinguish the cultivation regions from each other with a high prediction accuracy (a correct classification rate of 92.3%). The results of this study highlight the potential of stable isotope ratios and elemental profiles to trace the geographical origin of pears at a small spatial scale.
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