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A Spectrophotometric Detecting Method of Trace Cobalt under High Concentrated Zinc Solution |
ZHU Hong-qiu, GONG Juan, LI Yong-gang*, CHEN Jun-ming |
School of Information Science and Engineering, Central South University, Changsha 410083,China |
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Abstract In the process of detecting the concentration of trace cobalt ions in the high-concentration zinc solution by spectrophotometry, because chemical properties of Zn(Ⅱ) and Co(Ⅱ) are similar and the concentration of base ion is too high. Those facts lead to the overlap of the spectrum of Co(Ⅱ) and Zn(Ⅱ) which most of the spectral signals of Co (Ⅱ) are masked by the spectral signals of Zn(Ⅱ), strong nonlinearity of absorbance and concentration, and poor additivity in mixture solution in the partial wavelength. Thus it is difficult to determine the concentration of cobalt by the whole band information. In this paper, the interval-correlation coefficient-PLS is proposed to select the wavelength of the ultraviolet and visible spectrum of the solution and then establishes the absorbance-concentration model. Firstly, experiment was designed to obtain spectrum of Zn(Ⅱ) and Co(Ⅱ) mixture;Secondly , evaluation indicator-the predicted root mean square error was used to extract and optimize feature from full-spectrum data, which reduced masking effect of the high-concentration Zn(Ⅱ) and removed blank information.;Then the correlation coefficient method was adapted on the analysis of absorbance matrix in sensitive region of cobalt to select wavelength points detailed. The points selected finally could retain cobalt sensitivity and linearity in maximum degree; Finally, the partial least squares(PLS) model was established by the selected wavelength point to compute the concentration of Co(Ⅱ). The proposed method was compared with full band PLS, iPLS, MCUVE-PLS and CARS-PLS, and the result showed that with the proposed method the number of selected wavelength points respectively decreased 89.1%,40%,72.3% and 81.7%, and accuracy under this model respectively increased 64.6%,33.3%,38.7% and 24.3% compared with other methods in the background of the high concentration of zinc solution. The maximum relative error was only 5.45 % and the average relative error was 2.21%. The proposed method can properly resolve the problem of detecting trace cobalt ion concentration in high-concentrations zinc solution.
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Received: 2017-01-08
Accepted: 2017-05-19
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Corresponding Authors:
LI Yong-gang
E-mail: liyonggang@csu.edu.cn
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[1] YANG Chi-yuan(杨驰原). Technology Innovation and Application(科技创新与应用). Beijing: Chemical Industry Press(北京:化学工业出版社), 2016, (3): 88.
[2] ZHAO Qiang, SHEN Zhi, LIU Wen-Min, et al. Chinese Journal of Structural Chemistry(结构化学), 2016, 35(8): 939.
[3] Wang Guowei, Yang Chunhua, Li Yonggang, et al. Chemometrics and Intelligent Laboratory Systems, 2016, 151: 61.
[4] Zhu Hongqiu, Wang Guowei, Yang Chunhua, et al. Transactions of Nonferrous Metals Society of China, 2013, 23(7): 2181.
[5] Li Hongdong, Liang Yizeng, Xu Qingsong. Chemometrics and Intelligent Laboratory Systems, 2010, 104(2): 341.
[6] Rahman A, Kondo N, Ogawa Y, et al. Biosystems Engineering, 2016, 141: 12.
[7] Petrakis E A, Polissiou M G. Assessing Saffron (Crocus sativus L. ) Talanta, 2016, 162: 558.
[8] Xu Deng, Fan Wei, Lv Huiying, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 123(2014): 430.
[9] LI Jiang-bo, GUO Zhi-ming, HUANG Wen-qian, et al(李江波,郭志明,黄文倩,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(2): 372.
[10] ZHU Hong-qiu, CHEN Jun-ming, YIN Dong-hang, et al(朱红求, 陈俊名, 尹冬航, 等). Journal of Chemical Industry(化工学报), 2016.
[11] HE Dong-jian, CHEN Xu, REN Jia-chen, et al(何东健, 陈 煦, 任嘉琛, 等). Journal of Agricultural Mechanization(农业机械学报), 2015, (3): 152.
[12] Wei Q, Bioucasdias J, Dobigeon N, et al. IEEE Transactions on Image Processing, 2015, 25(7): 3219.
[13] DONG An-guo, LI Cong, WANG Dan-dan(董安国, 李 聪, 王丹丹). Journal of Computer Applications(计算机应用研究), 2016, 33(7): 2197.
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