您好，欢迎访问浙江省农业科学院 机构知识库！
浙江省农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Geographical origin modeling of Chinese rice using stable isotopes and trace elements

文献类型： 外文期刊

作者： Li, Chunlin 1 ; Nie, Jing 1 ; Zhang, Yongzhi 1 ; Shao, Shengzhi 1 ; Liu, Zhi 4 ; Rogers, Karyne M. 1 ; Zhang, Weixing 2 ; Yuan, Yuwei 1 ;

作者机构： 1.State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China

2.China Natl Rice Res Inst, Hangzhou 310006, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Agroprod Safety & Nutr, Hangzhou 310021, Peoples R China

4.Minist Agr & Rural Affairs, Key Lab Informat Traceabil Agr Prod, Hangzhou 310021, Peoples R China

5.Hunan Univ Humanities Sci & Technol, Coll Agr & Biotechnol, Loudi 417000, Peoples R China

6.GNS Sci, Natl Isotope Ctr, 30 Grace Field Rd, Lower Hutt 5040, New Zealand

关键词： Rice (Oryza sativa L.); Authenticity; Geographical origin; Stable isotopes; Nutritional elements; Neural network modeling

期刊名称：FOOD CONTROL （ 影响因子：6.652； 五年影响因子：6.498 ）

ISSN： 0956-7135

年卷期： 2022 年 138 卷

页码：

收录情况： SCI

摘要： Rice is an important staple food in China, which authenticity is closely associated with nutrition and safety. It is necessary to discriminate their geographical origin with a comprehensive databank. 900 Japonica and Indica rice samples from 17 provinces were collected to analysis stable isotopes and trace elements for their origin discrimination of four regions as Middle-Lower Yangtze Plain (Y-R), northeast (N-E), southwest (S-W) and southeast (S-E). Results revealed Japonica rice was isotopically more positive than Indica rice, becoming -27.3 parts per thousand vs. -28.5 parts per thousand for delta C-13, 5.2 parts per thousand vs. 4.6 parts per thousand for delta N-15, -58.7 parts per thousand vs. -65.1 parts per thousand for delta H-2 and 20.3 parts per thousand vs. 18.1 parts per thousand for delta O-18 in Japonica vs. Indica rice, respectively. N-E rice had the most positive stable isotope values and Y-R rice had higher elemental contents. Using neural network modeling, Japonica rice from N-E and Y-R was discriminated with high accuracy of 97.2%. And Indica rice could also be geographically assigned to Y-R, S-W and S-E with the accuracy of 76.0% for blind samples. This study establishes the first comprehensive stable isotopic and elemental geographical database for Chinese rice and provides a promising discrimination method to key production regions in China.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：浙江省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台