Citation: DAI Jian-Xiong,  YANG Yan-Ting,  YU Hao,  DUAN Yi-Xiang. A Novel Plasma Jet Atomic Emission Spectrometer and Its Application in Rapid Detection of Elements in Rice[J]. Chinese Journal of Analytical Chemistry, ;2021, 49(10): 1686-1693. doi: 10.19756/j.issn.0253-3820.210490 shu

A Novel Plasma Jet Atomic Emission Spectrometer and Its Application in Rapid Detection of Elements in Rice

  • Corresponding author: DUAN Yi-Xiang, yduan@scu.edu.cn
  • Received Date: 8 May 2021
    Revised Date: 28 June 2021

    Fund Project: Supported by the Special Project of Major Scientific Instruments and Equipment in Sichuan Province, China (No.2019ZDZX0036) and the Key Research and Development Program of Shaanxi Province, China (No.2019ZDLSF01-03).

  • A novel direct analysis technology for solid samples using an atomic emission spectrometer based on microwave plasma called plasma jet atomic emission spectrometer (PJ-AES) was developed for the first time. In the work, PJ-AES was used for the rapid detection of cadmium (Cd), zinc (Zn), copper (Cu), iron (Fe), phosphorus (P), silicon (Si) and other inorganic elements in rice. The linear range, sensitivity, stability and other properties of the PJ-AES were systematically investigated. As a result, the linear range of heavy metal element Cd (228.80 nm) was 0.03-1.72 mg/kg, and the linear correlation coefficient (R2) was 0.998, the detection limit was 0.009 mg/kg. A total of 8 groups of rice standard samples with a Cd concentration of 0.22 mg/kg were detected, and the relative standard deviation (RSD) of the signal intensity at 228.80 nm (Cd) was 2.8%. Finally, the method was used for quantitative detection of Cd in real samples and the obtained results were compared with that of inductively coupled plasma mass spectrometry (ICP-MS). The results showed that the PJ-AES was suitable for rapid, accurate, qualitative and quantitative detection of Cd in rice. The development of this technology provided a new direct analysis and detection method for solid samples for atomic spectroscopy. This method showed many advantages such as fast analysis speed, simple sample processing, small size, low cost, and accurate detection.
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