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Fan L.-H.,China Textile Machinery Products Quality Supervision and Inspection Center Shanxi | Zhang H.-Q.,China Textile Machinery Products Quality Supervision and Inspection Center Shanxi | Su S.-J.,China Textile Machinery Products Quality Supervision and Inspection Center Shanxi | Jiang X.-F.,China Textile Machinery Products Quality Supervision and Inspection Center Shanxi
Yejin Fenxi/Metallurgical Analysis | Year: 2015

The carbon steel was dissolved by sulfuric acid and nitric acid, respectively. Then, the content of silicon in carbon steel was determined by reduced silicomolybdicate spectrophotometry. The coloring conditions were optimized for the dissolution method by sulfuric acid and nitric acid. It was found that most of coloring conditions for both methods were the same: the determination wavelength was 810 nm; the coloring time of silicomolybdenum blue was 5 min; the dosage of 50 g/L ammonium molybdate solution, 50 g/L oxalic acid solution and 60 g/L ammonium ferrous sulfate solution was 5 mL, 9 mL and 5 mL, respectively. However, the coloring time of silicomolybdenum yellow for sulfuric acid dissolution was 25 min, while the coloring time for nitric acid dissolution was 30 min. Silicon in the standard solution series with matrix match was determined according to the experimental method. The absorbance was linear to the mass concentration of silicon in range of 0-1 μg/mL. The linear regression equation for sulfuric acid (1+17) dissolution was ρ =1.333A+0.004 with correlation coefficient of r=0.999, and the detection limit of method was 0.013%. The linear regression equation for nitric acid (1+3) dissolution was ρ =1.277 A+0.006 8 with correlation coefficient of r=0.999, and the detection limit of method was 0.014%. Three carbon steel certified reference materials were treated by sulfuric acid dissolution and nitric acid dissolution methods under the optimized conditions, and the content of silicon was determined according to the experimental method. The results were consistent with the certified values. The relative standard deviations (RSD, n=10) were between 0.26% and 1.1%. © 2015, Central Iron and Steel Research Institute. All right reserved. Source

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