Nuclear Techniques ›› 2017, Vol. 40 ›› Issue (8): 80501-080501.doi: 10.11889/j.0253-3219.2017.hjs.40.080501

• NUCLEAR PHYSICS, INTERDISCIPLINARY RESEARCH • Previous Articles     Next Articles

Determination and analysis of mineral elements content in rice samples

WANG Guangxi, HU Yan, LUO Qiong, CAI Rongzhi, LI Dan, CHEN Cheng, ZHAI Juan   

  1. College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China
  • Received:2017-03-09 Revised:2017-04-07 Online:2017-08-10 Published:2017-08-11
  • Supported by:
    Supported by National Natural Science Foundation of China (No.41574128),Sichuan Province Science and Technology Plan Projects (No.2016JY0208),Sichuan Province Department of Education Natural Science Key Project (No.15ZA0070),Sichuan Province Department of Education Natural Science Project (No.15ZB0075)

Abstract: Background: Mineral elements play an important role in the human body and mainly derive from food. The rice is staple food of most people in our country. Therefore, it is important to determine accurately the content of mineral elements in rice. Purpose:This study aims to establish an accurate analysis method for the rice measurement and distinguish the rice from different places. Methods: Wavelength dispersive X-ray fluorescence (WDXRF) spectrometry was applied to the measurement of Mn, Fe, Cu, Zn, Mg, P, S, K, Ca 9 elements in rice (produced in Hubei, Sichuan and Heilongjiang) with pressed powder pellets. Principal component and cluster analysis analyzed determination results. The measuring conditions of target elements were investigated. The matrix effect was corrected by empirical coefficient method and scattered radiation as internal standard and working curve was established with national biological standard reference materials. Results: The detection limit of this method was low, and its precision and accuracy were high. There were diverse contents of target elements from different places. Four principal components could account for 89.3% of total variance. 30 samples could be divided to three regions which came from three different places. Cluster analysis showed the samples could be clustered into three groups at the threshold of 9 levels. The results were consistent with the result of principal component analysis. Conclusion: This method can accurately determine the content of mineral elements in rice and the mineral elements can be used as a traceability of producing area.

Key words: WDXRF spectrometry, Rice, Mineral elements, Matrix effect, Principal component analysis, Cluster analysis

CLC Number: 

  • TL99