TWO STANDAARD PHOTOMETRIC METHOD FOR THE DETERMINATION OF Mn,Si, P IN STEEL AND IRON
DOI: 297 Downloads 6707 Views
Author(s)
Abstract
At present, the photometric method uses multiple standard samples to draw "calibration curves" to determine the results of sample measurement. However, the difficulty of preparing multiple standard samples has become a major obstacle to the popularization and application of spectrophotometry. The results show that if the spectrophotometric determination process strictly follows the "precision rule", i.e. “to maintain infection consistency of each factor for each sample(including standard sample) in the same measurement series ”, then in the "calibration curve" , that is, in the domain of incident light. the absorbance difference ΔA of chemicals proportional to its content difference ΔC: ΔA = KΔC. The coordinate points (C, A) of content and absorbance of all the samples, must in the same ΔA = KΔC article line. Therefore, the line between the upper and lower coordinates of the standard sample is the "proportional determination line" of the sample content. Relative standard deviations of 10 determination results of Mn, Si,P were : 2.26%,3.63%,6.45%,and the uncertainties were: 0.04%,0.03%,0.005%(k=2), respectively. In this paper, the implementation details of the "Precision Rule" in spectrophotometry are introduced, which provides the basic operation technology for the popularization and application of spectrophotometry.
Keywords
photometric method; incident light; domain; steel;Mn;Si;P
Cite this paper
Yuan Bingjian, Ren Ping,
TWO STANDAARD PHOTOMETRIC METHOD FOR THE DETERMINATION OF Mn,Si, P IN STEEL AND IRON
, SCIREA Journal of Chemistry.
Volume 4, Issue 2, April 2019 | PP. 59-69.
References
[ 1 ] | Yuan Bingjian. New Findings on Spectrophotometry [J].chemical analysis and meterage, 2011, 20 (5): 54-57. |
[ 2 ] | Zhong Guoxiu, Huang Qinghua. Rapid Determination of Trace Aluminum in Copper Alloys [J]. chemical analysis and meterage, 2011, 20 (5): 60-62 |
[ 3 ] | Wang Jiyan, Liu Mian, Zhao Xiaoliang, et al. Determination of tantalum in ore by phenylfluorone spectrophotometry with acid dissolution [J] Metallurgical analysis, 2017,37 (4): 48-51 |
[ 4 ] | Wang Xuan, Jintao, Wang Haowei, et al. Determination of titanium dioxide in polysulfide sealant by UV spectrophotometry [J]. chemical analysis and meterage, 2017,26 (4): 24-27 |
[ 5 ] | Gao Lihong, Zhou Kaihong, Wang Yanxia, et al. Determination of silicon dioxide in rare earth fluoride by silicomolybdic blue spectrophotometry [J]. Metallurgical analysis, 2017, (4): 57-61 |
[ 6 ] | ISO/IEC 17025 General requirements for calibration and testing laboratory capabilities [S] |
[ 7 ] | JJF 1059.1-2012 Evaluation and Representation of Uncertainty in Measurement [S]. |
[ 8 ] | Yang Zhenming. Probability Theory ((2nd edition)) [M]. Beijing: Science Press, 2008:74 |
[ 9 ] | Yu Junwu, Xiao Yanqing. Probability Theory and Mathematical Statistics [M]. Beijing: Polytechnic University Press, 2009:95 |
[ 10 ] | Huang Jian, Liu Deguang. Probability Theory and Mathematical Statistics [M]. Beijing: Science Press, 2010:93 |
[ 11 ] | Zheng Deru. Statistics [M]. Shanghai: Lixin Accounting press, 1994:174-177 |
[ 12 ] | Lin Jingxing, Chen Danying. Basic Knowledge of Metrology (2nd edition) [M]. Beijing: China measuring press, 2008:152-155 |
[ 13 ] | Liu Zhimin. Error and Data Processing [M]. Beijing: Atomic Energy Press, 1981:14-64 |
[ 14 ] | Yuan Bingjian. Mathematical model of uncertainty in photometric method [J]. Measurement technique, 2010, (1): 67-70 |
[ 15 ] | Yuan Bingjian. Uncertainty evaluation of repeated measurement results [J]. China Metrology, 2015, (1): 89-90 |
[ 16 ] | Yuan Bingjian. Discussions on the Evaluation Method of Uncertainty in Repeated Measurement [J]. Scientist, 2016, (17): 33-34 |