Abstract：During the determination of beryllium in soil by inductively coupled plasma atomic emission spectrometry (ICP-AES), the analytical lines of Be 313.042 nm and Be 313.107 nm are both interfered by partial spectral overlap from the characteristic spectral lines of Ti 313.079 nm and Nd 313.079 nm for the matrix of titanium and niobium. As a result, it is difficult to determine the content of beryllium accurately. The samples were treated with hydrochloric acid, nitric acid, hydrofluoric acid and perchloric acid. Then the spectral interference was corrected by Multi-component Spectral Fitting (MSF). Consequently, an analysis method for determination of beryllium in soil was established by ICP-AES with Be 313.042 nm and Be 313.107 nm as the analytical lines, respectively. The working parameters of ICP-AES were optimized: the radio-frequency power was 1 450 W, the nebulizer gas flow was 0.6 L/min, and the peristaltic pump speed was 1.6 mL/min. The mass fraction of beryllium in soil in range of 1.3-16.5 mg/kg had a good linear relationship with its corresponding emission intensity. The linear correlation coefficient were both 0.999 0. The limit of detection and limit of quantitation were both 0.02 mg/kg and 0.08 mg/kg, respectively. The content of beryllium in certified reference materials of soil were determined according to the proposed method. The results were within allowable range of the certified values, and the relative standard deviations (RSD, n=6) were between 0.7% and 3.7%. The content of beryllium in soil samples were determined according to the proposed method,the relative standard deviations (n=6) were between 1.3% and 3.6%. The t-test results showed that there was no significant difference between the results determined by the proposed method and inductively coupled plasma mass spectrometry (ICP-MS).
刘跃, 王记鲁, 王鑫, 林冬, 李静. 多元谱线拟合-电感耦合等离子体原子发射光谱法测定土壤中铍[J]. 冶金分析, 2023, 43(9): 62-68.
LIU Yue, WANG Jilu, WANG Xin, LIN Dong, LI Jing. Determination of beryllium in soil by inductively coupled plasma atomic emission spectrometry with multi-component spectral fitting. , 2023, 43(9): 62-68.
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