Piippanen T, Tummavuori J
Department of Chemistry, University of Jyväskylä, PO Box 35, 40351, Jyväskylä, Finland.
Anal Bioanal Chem. 1996 Aug;356(2):138-42. doi: 10.1007/s0021663560138.
Inductively coupled plasma atomic emissionspectrometry (ICP-AES) has been applied as a rapid and routine method for the analysis of process electrolytes in the electrorefining of copper. Antimony, arsenic, bismuth and copper have been selected as major electrolyte constituents. For these elements profound statistical studies of spectral and interelement effects have been carried out. For As, Bi and Sb two analyte wavelengths have been selected, and for Cu one relatively insensitive analyte line has been chosen due to the high Cu concentration in samples. Best analytical lines were: As at 193.759 nm, Bi at 306.772 nm, Sb at 206.833 nm and Cu at 216.953 nm. Multiple linear regression proved to be very capable in the search of the best analytical wavelength and identifying interfering elements. Using simple acid based standards all elements investigated can be determined separately in complicated matrices with satisfactory results. Differences between true values and measured values can be partly eliminated by appropriate calculational methods.
电感耦合等离子体原子发射光谱法（ICP - AES）已被用作一种快速且常规的方法，用于分析铜电解精炼过程中的电解液。锑、砷、铋和铜被选为电解液的主要成分。针对这些元素，已开展了关于光谱和元素间效应的深入统计研究。对于砷、铋和锑，选择了两条分析物波长；由于样品中铜浓度较高，对于铜则选择了一条相对不敏感的分析物谱线。最佳分析谱线分别为：砷在193.759 nm，铋在306.772 nm，锑在206.833 nm，铜在216.953 nm。多元线性回归在寻找最佳分析波长和识别干扰元素方面表现出很强的能力。使用基于简单酸的标准溶液，在复杂基质中可分别测定所有研究元素，结果令人满意。通过适当的计算方法可部分消除真值与测量值之间的差异。
