能量色散X射线荧光光谱法测定植物中重金属的条件优化
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X132

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国家自然科学基金面上项目(42377022)资助。


Optimization of the Detection Parameters for Heavy Metals in Plants by Energy Dispersive X-ray Fluorescence Spectrometry
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    摘要:

    本研究系统优化了能量色散X射线荧光光谱(EDXRF)法测定植物中重金属的条件。研究选取小麦籽粒(淀粉类)、大豆籽粒(油料类)和伴矿景天植株(纤维类)3种不同类型植物样品,通过单因素试验考察了样品粒径、压片压力、制样厚度及测定时间对Cd等重金属检测精度的影响。结果表明:100目粒径可显著提升不同植物样品均质性,小麦、大豆样品中Cd含量检测相对误差降至5% 以下;小麦、大豆和伴矿景天样品的最佳压片压力分别为2、3和4 MPa,而高压下大豆样品因油脂渗出会增大测试误差;对于低Cd含量的小麦、大豆样品,5 mm制样厚度有助于平衡光谱信号强度与背景噪声,而高Cd含量的伴矿景天仅需2.5 mm制样厚度即可满足测试需求;在测定时间方面,低Cd含量的样品需≥300 s(误差从60 s的30.1% 降至300 s的9.7%),伴矿景天样则60 s即可达到需求。方法验证显示,优化条件下,小麦标准物质(GBW08503c)的Cd检出限为0.08 mg/kg,回收率为80.9%~119.0%。本研究为植物样品中重金属的EDXRF快速检测提供了一套普适性制样参数,可有效提升方法的准确性与适用性。

    Abstract:

    This study systematically optimized the sample preparation conditions for the detection of heavy metals in plants using Energy Dispersive X-ray Fluorescence Spectrometry (EDXRF). Three different types of plant samples were selected: wheat grains (starch type), soybean grains (oil type), and Sedum platyphyllum plants (fiber type). A single-factor experiment was conducted to investigate the effects of sample particle size, tablet pressing pressure, sample thickness, and measurement time on the detection accuracy of heavy metals such as Cd. The results showed that 100-mesh particle size significantly enhanced sample homogeneity and reduced the relative errors of Cd detection in wheat and soybean to <5%; The optimal pelletizing pressures for wheat, soybean and S. plumbizincicola samples were 2, 3 and 4 MPa, respectively. High pressure increased relative error in soybean due to oil seepage; Low-Cd samples (wheat, soybean) required a pellet thickness of 5 mm, while high-Cd of S. plumbizincicola required only 2.5 mm for minimum detection error; The required detection time was ≥300 s for low-Cd samples (error reduced from 30.1% at 60 s to 9.7% at 300 s) and only 60 s for S. plumbizincicola. Using the optimized detection parameters, Cd detection limit was 0.08 mg/kg for the certified reference material GBW08503c, with a recovery rate of 80.9%-119%.This study provides a set of universal sample preparation parameters for the rapid EDXRF detection of heavy metals in plant samples, which can effectively enhance the method's accuracy and applicability.

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郭子希,蒋奡松,黄玉娟,李柱,周嘉文,王晶晶,吴龙华,谭长银.能量色散X射线荧光光谱法测定植物中重金属的条件优化[J].土壤,2026,58(2):434-442. GUO Zixi, JIANG Aosong, HUANG Yujuan, LI Zhu, ZHOU Jiawen, WANG Jingjing, WU Longhua, TAN Changyin. Optimization of the Detection Parameters for Heavy Metals in Plants by Energy Dispersive X-ray Fluorescence Spectrometry[J]. Soils,2026,58(2):434-442

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  • 收稿日期:2025-10-15
  • 最后修改日期:2025-12-29
  • 录用日期:2025-12-30
  • 在线发布日期: 2026-05-09
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