食品科学

• 分析检测 • 上一篇    下一篇

碳和氮稳定同位素在黑加仑产地区分中的应用

陈历水,丁庆波,苏晓霞,李 清,林光辉   

  1. 1.中粮营养健康研究院食品研发中心,营养健康与食品安全北京市重点实验室,北京 100020;
    2.清华大学地球系统科学研究中心,地球系统数值模拟教育部重点实验室,北京 100084
  • 出版日期:2013-12-25 发布日期:2014-01-03

Stable Isotope Distribution of Carbon and Nitrogen in Blackcurrant-Producing Regions

CHEN Li-shui,DING Qing-bo,SU Xiao-xia,LI Qing,LIN Guang-hui   

  1. 1. Beijing Key Laboratory of Nutrition, Health and Food Safety, Food R & D Center, COFCO Nutrition and Health Research Institute,Beijing 100020, China;2. Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science,Tsinghua University, Beijing 100084, China
  • Online:2013-12-25 Published:2014-01-03

摘要:

为找到鉴别黑加仑果汁产地的最有效指标,利用同位素比率质谱仪(IRMS)方法研究不同产地的黑加仑果实、树叶、土壤和果汁中碳和氮稳定同位素比率。结果表明:不同地区黑加仑果实中δ15N值差异显著(P<0.05),并随着地理纬度增加呈减小的趋势;部分地区的δ13C值有显著差异(P<0.05)。进一步分析发现,果汁中的碳稳定同位素比率与土壤和果实中碳稳定同位素比率具有显著性相关性(P<0.05);果汁中氮同位素比率与果实、树叶及土壤中氮同位素比率之间具有极显著相关性(P<0.01)。果实的碳和氮稳定同位素联合分析是黑加仑果汁产地溯源的最有效指标,准确率可达到86.9%;利用当地树叶和当地土壤代替果实样品进行产地区分的准确率分别达61.5%和75.0%,表明树叶和土壤亦可代替果实对黑加仑果汁进行有效的产地鉴别。

关键词: 稳定同位素, 碳, 氮, 黑加仑, 产地区分

Abstract:

In this paper, in order to explore the most effective indicator of the geographic origin of blackcurrant
juice, an isotope ratio mass spectrometer (IRMS) was used to analyze the carbon and nitrogen stable isotope ratios in
blackcurrant fruits, leaves, soil and juice. The results showed that the δ15N value of blackcurrant juice from different
regions were different significantly (P < 0.05), and decreased with increasing geographic latitude. The values of δ13C
in juice from different regions showed a significant difference (P < 0.05). Further analysis indicated the carbon stable
isotope ratio in juice had significant correlation with that of fruits and soil (P < 0.05); the nitrogen stable isotope
ratio in juice has a highly significant correlation with that of fruits, leaves and soil (P < 0.01). As a result, combined
analysis of stable carbon and nitrogen isotopes provides potential indicators for tracing the origin of blackcurrant
fruits with accuracy up to 86.9%. In addition, the leaves and soil of blackcurrant are nearly as effective as the fruits in
indicating the growing region with accuracies of 61.5% and 75.0 %, respectively.

Key words: stable isotope, carbon, nitrogen, blackcurrant, growing area discrimination