习佳林,郭 阳,李 安,陶湛文,赵 杰,于寒冰.基于多元素和稳定同位素技术的桃产地溯源[J].食品安全质量检测学报,2024,15(9):62-68
基于多元素和稳定同位素技术的桃产地溯源
Traceability of the origin of Prunus persica based on multi-element and stable isotope techniques
投稿时间:2024-01-15  修订日期:2024-05-09
DOI:
中文关键词:  元素  稳定同位素  产地溯源  
英文关键词:elements  stable isotopes  origin traceability  Prunus persica
基金项目:
作者单位
习佳林 1. 北京市农产品质量安全中心 
郭 阳 1. 北京市农产品质量安全中心 
李 安 2. 北京市农林科学院质量标准与检测技术研究所 
陶湛文 1. 北京市农产品质量安全中心 
赵 杰 2. 北京市农林科学院质量标准与检测技术研究所 
于寒冰 1. 北京市农产品质量安全中心 
AuthorInstitution
XI Jia-Lin 1. Beijing Agricultural Product Quality and Safety Center 
GUO Yang 1. Beijing Agricultural Product Quality and Safety Center 
LI An 2. Beijing Research Center for Agricultural Standards and Testing 
TAO Zhan-Wen 1. Beijing Agricultural Product Quality and Safety Center 
ZHAO Jie 2. Beijing Research Center for Agricultural Standards and Testing 
YU Han-Bing 1. Beijing Agricultural Product Quality and Safety Center 
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中文摘要:
      目的 研究利用桃中多元素和稳定同位素地域特征进行产地溯源的可行性。方法 应用电感耦合等离子体质谱和稳定同位素比质谱技术, 测试桃样品中54种元素和碳(13C/12C)、氮(15N/14N)、氢(2H/1H)、氧(18O/16O) 4种稳定同位素比值, 分析不同产地桃的特征指标, 采用逐步判别分析, 建立产地判别模型, 开展平谷、顺平和丹东桃产地溯源。结果 不同产地桃中碳和氧同位素比值差异显著(P<0.05), Na、Mg、Al、K、Mn、Cu、Zn、Rb、Sr、Cd和Ba 11种元素含量差异显著(P<0.05)。筛选C、H、O、Mg、Al、K、Fe、Cu、Zn、Cd 10项指标建立产地判别模型, 进行原始回代检验和留一交叉检验, 判别准确率均为100%。结论 研究表明, 同时利用桃中多元素含量和稳定同位素比值特征指标建立产地判别模型, 能够区分不同产地的桃, 为桃产地溯源的可行性提供方法依据。
英文摘要:
      Objective To study the feasibility of using the regional characteristics of multiple elements and stable isotopes in Prunus persica for origin tracing. Methods Inductively coupled plasma mass spectrometry and stable isotope ratio mass spectrometry techniques were applied to test 54 kinds of elements and 4 kinds of stable isotope ratios of carbon (13C/12C), nitrogen (15N/14N), hydrogen (2H/1H), and oxygen (18O/16O) in Prunus persica samples. The characteristic indexes of Prunus persica from different production areas were analyzed, and stepwise discriminant analysis was used to establish a production area discrimination model for Pinggu, Shunping, and Dandong Prunus persica production areas. Results The carbon and oxygen isotope ratios in Prunus persica from different regions showed significant differences (P<0.05), while the content of 11 kinds of elements including Na, Mg, Al, K, Mn, Cu, Zn, Rb, Sr, Cd, and Ba showed significant differences (P<0.05). Ten indicators including C, H, O, Mg, Al, K, Fe, Cu, Zn, Cd were selected to establish the origin discrimination model. The original backpropagation test and retention cross test were performed, and the discrimination accuracy was 100%. Conclusion Research has shown that using the characteristic indexes of multi-element content and stable isotope ratio in Prunus persica to establish an original discrimination model can distinguish Prunus persica of different origins, providing a methodological basis for the feasibility of origin traceability of Prunus persica.
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